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Research Article

Twenty years of gender equality research: A scoping review based on a new semantic indicator

Contributed equally to this work with: Paola Belingheri, Filippo Chiarello, Andrea Fronzetti Colladon, Paola Rovelli

Roles Conceptualization, Formal analysis, Funding acquisition, Visualization, Writing – original draft, Writing – review & editing

Affiliation Dipartimento di Ingegneria dell’Energia, dei Sistemi, del Territorio e delle Costruzioni, Università degli Studi di Pisa, Largo L. Lazzarino, Pisa, Italy

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Methodology, Visualization, Writing – original draft, Writing – review & editing

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Methodology, Software, Visualization, Writing – original draft, Writing – review & editing

* E-mail: [email protected]

Affiliations Department of Engineering, University of Perugia, Perugia, Italy, Department of Management, Kozminski University, Warsaw, Poland

Roles Conceptualization, Formal analysis, Funding acquisition, Writing – original draft, Writing – review & editing

Affiliation Faculty of Economics and Management, Centre for Family Business Management, Free University of Bozen-Bolzano, Bozen-Bolzano, Italy

• Paola Belingheri, 
• Filippo Chiarello, 
• Andrea Fronzetti Colladon, 
• Paola Rovelli

• Published: September 21, 2021
• https://doi.org/10.1371/journal.pone.0256474
• Reader Comments

9 Nov 2021: The PLOS ONE Staff (2021) Correction: Twenty years of gender equality research: A scoping review based on a new semantic indicator. PLOS ONE 16(11): e0259930. https://doi.org/10.1371/journal.pone.0259930 View correction

Gender equality is a major problem that places women at a disadvantage thereby stymieing economic growth and societal advancement. In the last two decades, extensive research has been conducted on gender related issues, studying both their antecedents and consequences. However, existing literature reviews fail to provide a comprehensive and clear picture of what has been studied so far, which could guide scholars in their future research. Our paper offers a scoping review of a large portion of the research that has been published over the last 22 years, on gender equality and related issues, with a specific focus on business and economics studies. Combining innovative methods drawn from both network analysis and text mining, we provide a synthesis of 15,465 scientific articles. We identify 27 main research topics, we measure their relevance from a semantic point of view and the relationships among them, highlighting the importance of each topic in the overall gender discourse. We find that prominent research topics mostly relate to women in the workforce–e.g., concerning compensation, role, education, decision-making and career progression. However, some of them are losing momentum, and some other research trends–for example related to female entrepreneurship, leadership and participation in the board of directors–are on the rise. Besides introducing a novel methodology to review broad literature streams, our paper offers a map of the main gender-research trends and presents the most popular and the emerging themes, as well as their intersections, outlining important avenues for future research.

Citation: Belingheri P, Chiarello F, Fronzetti Colladon A, Rovelli P (2021) Twenty years of gender equality research: A scoping review based on a new semantic indicator. PLoS ONE 16(9): e0256474. https://doi.org/10.1371/journal.pone.0256474

Editor: Elisa Ughetto, Politecnico di Torino, ITALY

Received: June 25, 2021; Accepted: August 6, 2021; Published: September 21, 2021

Copyright: © 2021 Belingheri et al. This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Data Availability: All relevant data are within the manuscript and its supporting information files. The only exception is the text of the abstracts (over 15,000) that we have downloaded from Scopus. These abstracts can be retrieved from Scopus, but we do not have permission to redistribute them.

Funding: P.B and F.C.: Grant of the Department of Energy, Systems, Territory and Construction of the University of Pisa (DESTEC) for the project “Measuring Gender Bias with Semantic Analysis: The Development of an Assessment Tool and its Application in the European Space Industry. P.B., F.C., A.F.C., P.R.: Grant of the Italian Association of Management Engineering (AiIG), “Misure di sostegno ai soci giovani AiIG” 2020, for the project “Gender Equality Through Data Intelligence (GEDI)”. F.C.: EU project ASSETs+ Project (Alliance for Strategic Skills addressing Emerging Technologies in Defence) EAC/A03/2018 - Erasmus+ programme, Sector Skills Alliances, Lot 3: Sector Skills Alliance for implementing a new strategic approach (Blueprint) to sectoral cooperation on skills G.A. NUMBER: 612678-EPP-1-2019-1-IT-EPPKA2-SSA-B.

Competing interests: The authors have declared that no competing interests exist.

Introduction

The persistent gender inequalities that currently exist across the developed and developing world are receiving increasing attention from economists, policymakers, and the general public [e.g., 1 – 3 ]. Economic studies have indicated that women’s education and entry into the workforce contributes to social and economic well-being [e.g., 4 , 5 ], while their exclusion from the labor market and from managerial positions has an impact on overall labor productivity and income per capita [ 6 , 7 ]. The United Nations selected gender equality, with an emphasis on female education, as part of the Millennium Development Goals [ 8 ], and gender equality at-large as one of the 17 Sustainable Development Goals (SDGs) to be achieved by 2030 [ 9 ]. These latter objectives involve not only developing nations, but rather all countries, to achieve economic, social and environmental well-being.

As is the case with many SDGs, gender equality is still far from being achieved and persists across education, access to opportunities, or presence in decision-making positions [ 7 , 10 , 11 ]. As we enter the last decade for the SDGs’ implementation, and while we are battling a global health pandemic, effective and efficient action becomes paramount to reach this ambitious goal.

Scholars have dedicated a massive effort towards understanding gender equality, its determinants, its consequences for women and society, and the appropriate actions and policies to advance women’s equality. Many topics have been covered, ranging from women’s education and human capital [ 12 , 13 ] and their role in society [e.g., 14 , 15 ], to their appointment in firms’ top ranked positions [e.g., 16 , 17 ] and performance implications [e.g., 18 , 19 ]. Despite some attempts, extant literature reviews provide a narrow view on these issues, restricted to specific topics–e.g., female students’ presence in STEM fields [ 20 ], educational gender inequality [ 5 ], the gender pay gap [ 21 ], the glass ceiling effect [ 22 ], leadership [ 23 ], entrepreneurship [ 24 ], women’s presence on the board of directors [ 25 , 26 ], diversity management [ 27 ], gender stereotypes in advertisement [ 28 ], or specific professions [ 29 ]. A comprehensive view on gender-related research, taking stock of key findings and under-studied topics is thus lacking.

Extant literature has also highlighted that gender issues, and their economic and social ramifications, are complex topics that involve a large number of possible antecedents and outcomes [ 7 ]. Indeed, gender equality actions are most effective when implemented in unison with other SDGs (e.g., with SDG 8, see [ 30 ]) in a synergetic perspective [ 10 ]. Many bodies of literature (e.g., business, economics, development studies, sociology and psychology) approach the problem of achieving gender equality from different perspectives–often addressing specific and narrow aspects. This sometimes leads to a lack of clarity about how different issues, circumstances, and solutions may be related in precipitating or mitigating gender inequality or its effects. As the number of papers grows at an increasing pace, this issue is exacerbated and there is a need to step back and survey the body of gender equality literature as a whole. There is also a need to examine synergies between different topics and approaches, as well as gaps in our understanding of how different problems and solutions work together. Considering the important topic of women’s economic and social empowerment, this paper aims to fill this gap by answering the following research question: what are the most relevant findings in the literature on gender equality and how do they relate to each other ?

To do so, we conduct a scoping review [ 31 ], providing a synthesis of 15,465 articles dealing with gender equity related issues published in the last twenty-two years, covering both the periods of the MDGs and the SDGs (i.e., 2000 to mid 2021) in all the journals indexed in the Academic Journal Guide’s 2018 ranking of business and economics journals. Given the huge amount of research conducted on the topic, we adopt an innovative methodology, which relies on social network analysis and text mining. These techniques are increasingly adopted when surveying large bodies of text. Recently, they were applied to perform analysis of online gender communication differences [ 32 ] and gender behaviors in online technology communities [ 33 ], to identify and classify sexual harassment instances in academia [ 34 ], and to evaluate the gender inclusivity of disaster management policies [ 35 ].

Applied to the title, abstracts and keywords of the articles in our sample, this methodology allows us to identify a set of 27 recurrent topics within which we automatically classify the papers. Introducing additional novelty, by means of the Semantic Brand Score (SBS) indicator [ 36 ] and the SBS BI app [ 37 ], we assess the importance of each topic in the overall gender equality discourse and its relationships with the other topics, as well as trends over time, with a more accurate description than that offered by traditional literature reviews relying solely on the number of papers presented in each topic.

This methodology, applied to gender equality research spanning the past twenty-two years, enables two key contributions. First, we extract the main message that each document is conveying and how this is connected to other themes in literature, providing a rich picture of the topics that are at the center of the discourse, as well as of the emerging topics. Second, by examining the semantic relationship between topics and how tightly their discourses are linked, we can identify the key relationships and connections between different topics. This semi-automatic methodology is also highly reproducible with minimum effort.

This literature review is organized as follows. In the next section, we present how we selected relevant papers and how we analyzed them through text mining and social network analysis. We then illustrate the importance of 27 selected research topics, measured by means of the SBS indicator. In the results section, we present an overview of the literature based on the SBS results–followed by an in-depth narrative analysis of the top 10 topics (i.e., those with the highest SBS) and their connections. Subsequently, we highlight a series of under-studied connections between the topics where there is potential for future research. Through this analysis, we build a map of the main gender-research trends in the last twenty-two years–presenting the most popular themes. We conclude by highlighting key areas on which research should focused in the future.

Our aim is to map a broad topic, gender equality research, that has been approached through a host of different angles and through different disciplines. Scoping reviews are the most appropriate as they provide the freedom to map different themes and identify literature gaps, thereby guiding the recommendation of new research agendas [ 38 ].

Several practical approaches have been proposed to identify and assess the underlying topics of a specific field using big data [ 39 – 41 ], but many of them fail without proper paper retrieval and text preprocessing. This is specifically true for a research field such as the gender-related one, which comprises the work of scholars from different backgrounds. In this section, we illustrate a novel approach for the analysis of scientific (gender-related) papers that relies on methods and tools of social network analysis and text mining. Our procedure has four main steps: (1) data collection, (2) text preprocessing, (3) keywords extraction and classification, and (4) evaluation of semantic importance and image.

Data collection

In this study, we analyze 22 years of literature on gender-related research. Following established practice for scoping reviews [ 42 ], our data collection consisted of two main steps, which we summarize here below.

Firstly, we retrieved from the Scopus database all the articles written in English that contained the term “gender” in their title, abstract or keywords and were published in a journal listed in the Academic Journal Guide 2018 ranking of the Chartered Association of Business Schools (CABS) ( https://charteredabs.org/wp-content/uploads/2018/03/AJG2018-Methodology.pdf ), considering the time period from Jan 2000 to May 2021. We used this information considering that abstracts, titles and keywords represent the most informative part of a paper, while using the full-text would increase the signal-to-noise ratio for information extraction. Indeed, these textual elements already demonstrated to be reliable sources of information for the task of domain lexicon extraction [ 43 , 44 ]. We chose Scopus as source of literature because of its popularity, its update rate, and because it offers an API to ease the querying process. Indeed, while it does not allow to retrieve the full text of scientific articles, the Scopus API offers access to titles, abstracts, citation information and metadata for all its indexed scholarly journals. Moreover, we decided to focus on the journals listed in the AJG 2018 ranking because we were interested in reviewing business and economics related gender studies only. The AJG is indeed widely used by universities and business schools as a reference point for journal and research rigor and quality. This first step, executed in June 2021, returned more than 55,000 papers.

In the second step–because a look at the papers showed very sparse results, many of which were not in line with the topic of this literature review (e.g., papers dealing with health care or medical issues, where the word gender indicates the gender of the patients)–we applied further inclusion criteria to make the sample more focused on the topic of this literature review (i.e., women’s gender equality issues). Specifically, we only retained those papers mentioning, in their title and/or abstract, both gender-related keywords (e.g., daughter, female, mother) and keywords referring to bias and equality issues (e.g., equality, bias, diversity, inclusion). After text pre-processing (see next section), keywords were first identified from a frequency-weighted list of words found in the titles, abstracts and keywords in the initial list of papers, extracted through text mining (following the same approach as [ 43 ]). They were selected by two of the co-authors independently, following respectively a bottom up and a top-down approach. The bottom-up approach consisted of examining the words found in the frequency-weighted list and classifying those related to gender and equality. The top-down approach consisted in searching in the word list for notable gender and equality-related words. Table 1 reports the sets of keywords we considered, together with some examples of words that were used to search for their presence in the dataset (a full list is provided in the S1 Text ). At end of this second step, we obtained a final sample of 15,465 relevant papers.

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https://doi.org/10.1371/journal.pone.0256474.t001

Text processing and keyword extraction

Text preprocessing aims at structuring text into a form that can be analyzed by statistical models. In the present section, we describe the preprocessing steps we applied to paper titles and abstracts, which, as explained below, partially follow a standard text preprocessing pipeline [ 45 ]. These activities have been performed using the R package udpipe [ 46 ].

The first step is n-gram extraction (i.e., a sequence of words from a given text sample) to identify which n-grams are important in the analysis, since domain-specific lexicons are often composed by bi-grams and tri-grams [ 47 ]. Multi-word extraction is usually implemented with statistics and linguistic rules, thus using the statistical properties of n-grams or machine learning approaches [ 48 ]. However, for the present paper, we used Scopus metadata in order to have a more effective and efficient n-grams collection approach [ 49 ]. We used the keywords of each paper in order to tag n-grams with their associated keywords automatically. Using this greedy approach, it was possible to collect all the keywords listed by the authors of the papers. From this list, we extracted only keywords composed by two, three and four words, we removed all the acronyms and rare keywords (i.e., appearing in less than 1% of papers), and we clustered keywords showing a high orthographic similarity–measured using a Levenshtein distance [ 50 ] lower than 2, considering these groups of keywords as representing same concepts, but expressed with different spelling. After tagging the n-grams in the abstracts, we followed a common data preparation pipeline that consists of the following steps: (i) tokenization, that splits the text into tokens (i.e., single words and previously tagged multi-words); (ii) removal of stop-words (i.e. those words that add little meaning to the text, usually being very common and short functional words–such as “and”, “or”, or “of”); (iii) parts-of-speech tagging, that is providing information concerning the morphological role of a word and its morphosyntactic context (e.g., if the token is a determiner, the next token is a noun or an adjective with very high confidence, [ 51 ]); and (iv) lemmatization, which consists in substituting each word with its dictionary form (or lemma). The output of the latter step allows grouping together the inflected forms of a word. For example, the verbs “am”, “are”, and “is” have the shared lemma “be”, or the nouns “cat” and “cats” both share the lemma “cat”. We preferred lemmatization over stemming [ 52 ] in order to obtain more interpretable results.

In addition, we identified a further set of keywords (with respect to those listed in the “keywords” field) by applying a series of automatic words unification and removal steps, as suggested in past research [ 53 , 54 ]. We removed: sparse terms (i.e., occurring in less than 0.1% of all documents), common terms (i.e., occurring in more than 10% of all documents) and retained only nouns and adjectives. It is relevant to notice that no document was lost due to these steps. We then used the TF-IDF function [ 55 ] to produce a new list of keywords. We additionally tested other approaches for the identification and clustering of keywords–such as TextRank [ 56 ] or Latent Dirichlet Allocation [ 57 ]–without obtaining more informative results.

Classification of research topics

To guide the literature analysis, two experts met regularly to examine the sample of collected papers and to identify the main topics and trends in gender research. Initially, they conducted brainstorming sessions on the topics they expected to find, due to their knowledge of the literature. This led to an initial list of topics. Subsequently, the experts worked independently, also supported by the keywords in paper titles and abstracts extracted with the procedure described above.

Considering all this information, each expert identified and clustered relevant keywords into topics. At the end of the process, the two assignments were compared and exhibited a 92% agreement. Another meeting was held to discuss discordant cases and reach a consensus. This resulted in a list of 27 topics, briefly introduced in Table 2 and subsequently detailed in the following sections.

https://doi.org/10.1371/journal.pone.0256474.t002

Evaluation of semantic importance

Working on the lemmatized corpus of the 15,465 papers included in our sample, we proceeded with the evaluation of semantic importance trends for each topic and with the analysis of their connections and prevalent textual associations. To this aim, we used the Semantic Brand Score indicator [ 36 ], calculated through the SBS BI webapp [ 37 ] that also produced a brand image report for each topic. For this study we relied on the computing resources of the ENEA/CRESCO infrastructure [ 58 ].

The Semantic Brand Score (SBS) is a measure of semantic importance that combines methods of social network analysis and text mining. It is usually applied for the analysis of (big) textual data to evaluate the importance of one or more brands, names, words, or sets of keywords [ 36 ]. Indeed, the concept of “brand” is intended in a flexible way and goes beyond products or commercial brands. In this study, we evaluate the SBS time-trends of the keywords defining the research topics discussed in the previous section. Semantic importance comprises the three dimensions of topic prevalence, diversity and connectivity. Prevalence measures how frequently a research topic is used in the discourse. The more a topic is mentioned by scientific articles, the more the research community will be aware of it, with possible increase of future studies; this construct is partly related to that of brand awareness [ 59 ]. This effect is even stronger, considering that we are analyzing the title, abstract and keywords of the papers, i.e. the parts that have the highest visibility. A very important characteristic of the SBS is that it considers the relationships among words in a text. Topic importance is not just a matter of how frequently a topic is mentioned, but also of the associations a topic has in the text. Specifically, texts are transformed into networks of co-occurring words, and relationships are studied through social network analysis [ 60 ]. This step is necessary to calculate the other two dimensions of our semantic importance indicator. Accordingly, a social network of words is generated for each time period considered in the analysis–i.e., a graph made of n nodes (words) and E edges weighted by co-occurrence frequency, with W being the set of edge weights. The keywords representing each topic were clustered into single nodes.

The construct of diversity relates to that of brand image [ 59 ], in the sense that it considers the richness and distinctiveness of textual (topic) associations. Considering the above-mentioned networks, we calculated diversity using the distinctiveness centrality metric–as in the formula presented by Fronzetti Colladon and Naldi [ 61 ].

Lastly, connectivity was measured as the weighted betweenness centrality [ 62 , 63 ] of each research topic node. We used the formula presented by Wasserman and Faust [ 60 ]. The dimension of connectivity represents the “brokerage power” of each research topic–i.e., how much it can serve as a bridge to connect other terms (and ultimately topics) in the discourse [ 36 ].

The SBS is the final composite indicator obtained by summing the standardized scores of prevalence, diversity and connectivity. Standardization was carried out considering all the words in the corpus, for each specific timeframe.

This methodology, applied to a large and heterogeneous body of text, enables to automatically identify two important sets of information that add value to the literature review. Firstly, the relevance of each topic in literature is measured through a composite indicator of semantic importance, rather than simply looking at word frequencies. This provides a much richer picture of the topics that are at the center of the discourse, as well as of the topics that are emerging in the literature. Secondly, it enables to examine the extent of the semantic relationship between topics, looking at how tightly their discourses are linked. In a field such as gender equality, where many topics are closely linked to each other and present overlaps in issues and solutions, this methodology offers a novel perspective with respect to traditional literature reviews. In addition, it ensures reproducibility over time and the possibility to semi-automatically update the analysis, as new papers become available.

Overview of main topics

In terms of descriptive textual statistics, our corpus is made of 15,465 text documents, consisting of a total of 2,685,893 lemmatized tokens (words) and 32,279 types. As a result, the type-token ratio is 1.2%. The number of hapaxes is 12,141, with a hapax-token ratio of 37.61%.

Fig 1 shows the list of 27 topics by decreasing SBS. The most researched topic is compensation , exceeding all others in prevalence, diversity, and connectivity. This means it is not only mentioned more often than other topics, but it is also connected to a greater number of other topics and is central to the discourse on gender equality. The next four topics are, in order of SBS, role , education , decision-making , and career progression . These topics, except for education , all concern women in the workforce. Between these first five topics and the following ones there is a clear drop in SBS scores. In particular, the topics that follow have a lower connectivity than the first five. They are hiring , performance , behavior , organization , and human capital . Again, except for behavior and human capital , the other three topics are purely related to women in the workforce. After another drop-off, the following topics deal prevalently with women in society. This trend highlights that research on gender in business journals has so far mainly paid attention to the conditions that women experience in business contexts, while also devoting some attention to women in society.

https://doi.org/10.1371/journal.pone.0256474.g001

Fig 2 shows the SBS time series of the top 10 topics. While there has been a general increase in the number of Scopus-indexed publications in the last decade, we notice that some SBS trends remain steady, or even decrease. In particular, we observe that the main topic of the last twenty-two years, compensation , is losing momentum. Since 2016, it has been surpassed by decision-making , education and role , which may indicate that literature is increasingly attempting to identify root causes of compensation inequalities. Moreover, in the last two years, the topics of hiring , performance , and organization are experiencing the largest importance increase.

https://doi.org/10.1371/journal.pone.0256474.g002

Fig 3 shows the SBS time trends of the remaining 17 topics (i.e., those not in the top 10). As we can see from the graph, there are some that maintain a steady trend–such as reputation , management , networks and governance , which also seem to have little importance. More relevant topics with average stationary trends (except for the last two years) are culture , family , and parenting . The feminine topic is among the most important here, and one of those that exhibit the larger variations over time (similarly to leadership ). On the other hand, the are some topics that, even if not among the most important, show increasing SBS trends; therefore, they could be considered as emerging topics and could become popular in the near future. These are entrepreneurship , leadership , board of directors , and sustainability . These emerging topics are also interesting to anticipate future trends in gender equality research that are conducive to overall equality in society.

https://doi.org/10.1371/journal.pone.0256474.g003

In addition to the SBS score of the different topics, the network of terms they are associated to enables to gauge the extent to which their images (textual associations) overlap or differ ( Fig 4 ).

https://doi.org/10.1371/journal.pone.0256474.g004

There is a central cluster of topics with high similarity, which are all connected with women in the workforce. The cluster includes topics such as organization , decision-making , performance , hiring , human capital , education and compensation . In addition, the topic of well-being is found within this cluster, suggesting that women’s equality in the workforce is associated to well-being considerations. The emerging topics of entrepreneurship and leadership are also closely connected with each other, possibly implying that leadership is a much-researched quality in female entrepreneurship. Topics that are relatively more distant include personality , politics , feminine , empowerment , management , board of directors , reputation , governance , parenting , masculine and network .

The following sections describe the top 10 topics and their main associations in literature (see Table 3 ), while providing a brief overview of the emerging topics.

https://doi.org/10.1371/journal.pone.0256474.t003

Compensation.

The topic of compensation is related to the topics of role , hiring , education and career progression , however, also sees a very high association with the words gap and inequality . Indeed, a well-known debate in degrowth economics centers around whether and how to adequately compensate women for their childbearing, childrearing, caregiver and household work [e.g., 30 ].

Even in paid work, women continue being offered lower compensations than their male counterparts who have the same job or cover the same role [ 64 – 67 ]. This severe inequality has been widely studied by scholars over the last twenty-two years. Dealing with this topic, some specific roles have been addressed. Specifically, research highlighted differences in compensation between female and male CEOs [e.g., 68 ], top executives [e.g., 69 ], and boards’ directors [e.g., 70 ]. Scholars investigated the determinants of these gaps, such as the gender composition of the board [e.g., 71 – 73 ] or women’s individual characteristics [e.g., 71 , 74 ].

Among these individual characteristics, education plays a relevant role [ 75 ]. Education is indeed presented as the solution for women, not only to achieve top executive roles, but also to reduce wage inequality [e.g., 76 , 77 ]. Past research has highlighted education influences on gender wage gaps, specifically referring to gender differences in skills [e.g., 78 ], college majors [e.g., 79 ], and college selectivity [e.g., 80 ].

Finally, the wage gap issue is strictly interrelated with hiring –e.g., looking at whether being a mother affects hiring and compensation [e.g., 65 , 81 ] or relating compensation to unemployment [e.g., 82 ]–and career progression –for instance looking at meritocracy [ 83 , 84 ] or the characteristics of the boss for whom women work [e.g., 85 ].

The roles covered by women have been deeply investigated. Scholars have focused on the role of women in their families and the society as a whole [e.g., 14 , 15 ], and, more widely, in business contexts [e.g., 18 , 81 ]. Indeed, despite still lagging behind their male counterparts [e.g., 86 , 87 ], in the last decade there has been an increase in top ranked positions achieved by women [e.g., 88 , 89 ]. Following this phenomenon, scholars have posed greater attention towards the presence of women in the board of directors [e.g., 16 , 18 , 90 , 91 ], given the increasing pressure to appoint female directors that firms, especially listed ones, have experienced. Other scholars have focused on the presence of women covering the role of CEO [e.g., 17 , 92 ] or being part of the top management team [e.g., 93 ]. Irrespectively of the level of analysis, all these studies tried to uncover the antecedents of women’s presence among top managers [e.g., 92 , 94 ] and the consequences of having a them involved in the firm’s decision-making –e.g., on performance [e.g., 19 , 95 , 96 ], risk [e.g., 97 , 98 ], and corporate social responsibility [e.g., 99 , 100 ].

Besides studying the difficulties and discriminations faced by women in getting a job [ 81 , 101 ], and, more specifically in the hiring , appointment, or career progression to these apical roles [e.g., 70 , 83 ], the majority of research of women’s roles dealt with compensation issues. Specifically, scholars highlight the pay-gap that still exists between women and men, both in general [e.g., 64 , 65 ], as well as referring to boards’ directors [e.g., 70 , 102 ], CEOs and executives [e.g., 69 , 103 , 104 ].

Finally, other scholars focused on the behavior of women when dealing with business. In this sense, particular attention has been paid to leadership and entrepreneurial behaviors. The former quite overlaps with dealing with the roles mentioned above, but also includes aspects such as leaders being stereotyped as masculine [e.g., 105 ], the need for greater exposure to female leaders to reduce biases [e.g., 106 ], or female leaders acting as queen bees [e.g., 107 ]. Regarding entrepreneurship , scholars mainly investigated women’s entrepreneurial entry [e.g., 108 , 109 ], differences between female and male entrepreneurs in the evaluations and funding received from investors [e.g., 110 , 111 ], and their performance gap [e.g., 112 , 113 ].

Education has long been recognized as key to social advancement and economic stability [ 114 ], for job progression and also a barrier to gender equality, especially in STEM-related fields. Research on education and gender equality is mostly linked with the topics of compensation , human capital , career progression , hiring , parenting and decision-making .

Education contributes to a higher human capital [ 115 ] and constitutes an investment on the part of women towards their future. In this context, literature points to the gender gap in educational attainment, and the consequences for women from a social, economic, personal and professional standpoint. Women are found to have less access to formal education and information, especially in emerging countries, which in turn may cause them to lose social and economic opportunities [e.g., 12 , 116 – 119 ]. Education in local and rural communities is also paramount to communicate the benefits of female empowerment , contributing to overall societal well-being [e.g., 120 ].

Once women access education, the image they have of the world and their place in society (i.e., habitus) affects their education performance [ 13 ] and is passed on to their children. These situations reinforce gender stereotypes, which become self-fulfilling prophecies that may negatively affect female students’ performance by lowering their confidence and heightening their anxiety [ 121 , 122 ]. Besides formal education, also the information that women are exposed to on a daily basis contributes to their human capital . Digital inequalities, for instance, stems from men spending more time online and acquiring higher digital skills than women [ 123 ].

Education is also a factor that should boost employability of candidates and thus hiring , career progression and compensation , however the relationship between these factors is not straightforward [ 115 ]. First, educational choices ( decision-making ) are influenced by variables such as self-efficacy and the presence of barriers, irrespectively of the career opportunities they offer, especially in STEM [ 124 ]. This brings additional difficulties to women’s enrollment and persistence in scientific and technical fields of study due to stereotypes and biases [ 125 , 126 ]. Moreover, access to education does not automatically translate into job opportunities for women and minority groups [ 127 , 128 ] or into female access to managerial positions [ 129 ].

Finally, parenting is reported as an antecedent of education [e.g., 130 ], with much of the literature focusing on the role of parents’ education on the opportunities afforded to children to enroll in education [ 131 – 134 ] and the role of parenting in their offspring’s perception of study fields and attitudes towards learning [ 135 – 138 ]. Parental education is also a predictor of the other related topics, namely human capital and compensation [ 139 ].

Decision-making.

This literature mainly points to the fact that women are thought to make decisions differently than men. Women have indeed different priorities, such as they care more about people’s well-being, working with people or helping others, rather than maximizing their personal (or their firm’s) gain [ 140 ]. In other words, women typically present more communal than agentic behaviors, which are instead more frequent among men [ 141 ]. These different attitude, behavior and preferences in turn affect the decisions they make [e.g., 142 ] and the decision-making of the firm in which they work [e.g., 143 ].

At the individual level, gender affects, for instance, career aspirations [e.g., 144 ] and choices [e.g., 142 , 145 ], or the decision of creating a venture [e.g., 108 , 109 , 146 ]. Moreover, in everyday life, women and men make different decisions regarding partners [e.g., 147 ], childcare [e.g., 148 ], education [e.g., 149 ], attention to the environment [e.g., 150 ] and politics [e.g., 151 ].

At the firm level, scholars highlighted, for example, how the presence of women in the board affects corporate decisions [e.g., 152 , 153 ], that female CEOs are more conservative in accounting decisions [e.g., 154 ], or that female CFOs tend to make more conservative decisions regarding the firm’s financial reporting [e.g., 155 ]. Nevertheless, firm level research also investigated decisions that, influenced by gender bias, affect women, such as those pertaining hiring [e.g., 156 , 157 ], compensation [e.g., 73 , 158 ], or the empowerment of women once appointed [ 159 ].

Career progression.

Once women have entered the workforce, the key aspect to achieve gender equality becomes career progression , including efforts toward overcoming the glass ceiling. Indeed, according to the SBS analysis, career progression is highly related to words such as work, social issues and equality. The topic with which it has the highest semantic overlap is role , followed by decision-making , hiring , education , compensation , leadership , human capital , and family .

Career progression implies an advancement in the hierarchical ladder of the firm, assigning managerial roles to women. Coherently, much of the literature has focused on identifying rationales for a greater female participation in the top management team and board of directors [e.g., 95 ] as well as the best criteria to ensure that the decision-makers promote the most valuable employees irrespectively of their individual characteristics, such as gender [e.g., 84 ]. The link between career progression , role and compensation is often provided in practice by performance appraisal exercises, frequently rooted in a culture of meritocracy that guides bonuses, salary increases and promotions. However, performance appraisals can actually mask gender-biased decisions where women are held to higher standards than their male colleagues [e.g., 83 , 84 , 95 , 160 , 161 ]. Women often have less opportunities to gain leadership experience and are less visible than their male colleagues, which constitute barriers to career advancement [e.g., 162 ]. Therefore, transparency and accountability, together with procedures that discourage discretionary choices, are paramount to achieve a fair career progression [e.g., 84 ], together with the relaxation of strict job boundaries in favor of cross-functional and self-directed tasks [e.g., 163 ].

In addition, a series of stereotypes about the type of leadership characteristics that are required for top management positions, which fit better with typical male and agentic attributes, are another key barrier to career advancement for women [e.g., 92 , 160 ].

Hiring is the entrance gateway for women into the workforce. Therefore, it is related to other workforce topics such as compensation , role , career progression , decision-making , human capital , performance , organization and education .

A first stream of literature focuses on the process leading up to candidates’ job applications, demonstrating that bias exists before positions are even opened, and it is perpetuated both by men and women through networking and gatekeeping practices [e.g., 164 , 165 ].

The hiring process itself is also subject to biases [ 166 ], for example gender-congruity bias that leads to men being preferred candidates in male-dominated sectors [e.g., 167 ], women being hired in positions with higher risk of failure [e.g., 168 ] and limited transparency and accountability afforded by written processes and procedures [e.g., 164 ] that all contribute to ascriptive inequality. In addition, providing incentives for evaluators to hire women may actually work to this end; however, this is not the case when supporting female candidates endangers higher-ranking male ones [ 169 ].

Another interesting perspective, instead, looks at top management teams’ composition and the effects on hiring practices, indicating that firms with more women in top management are less likely to lay off staff [e.g., 152 ].

Performance.

Several scholars posed their attention towards women’s performance, its consequences [e.g., 170 , 171 ] and the implications of having women in decision-making positions [e.g., 18 , 19 ].

At the individual level, research focused on differences in educational and academic performance between women and men, especially referring to the gender gap in STEM fields [e.g., 171 ]. The presence of stereotype threats–that is the expectation that the members of a social group (e.g., women) “must deal with the possibility of being judged or treated stereotypically, or of doing something that would confirm the stereotype” [ 172 ]–affects women’s interested in STEM [e.g., 173 ], as well as their cognitive ability tests, penalizing them [e.g., 174 ]. A stronger gender identification enhances this gap [e.g., 175 ], whereas mentoring and role models can be used as solutions to this problem [e.g., 121 ]. Despite the negative effect of stereotype threats on girls’ performance [ 176 ], female and male students perform equally in mathematics and related subjects [e.g., 177 ]. Moreover, while individuals’ performance at school and university generally affects their achievements and the field in which they end up working, evidence reveals that performance in math or other scientific subjects does not explain why fewer women enter STEM working fields; rather this gap depends on other aspects, such as culture, past working experiences, or self-efficacy [e.g., 170 ]. Finally, scholars have highlighted the penalization that women face for their positive performance, for instance when they succeed in traditionally male areas [e.g., 178 ]. This penalization is explained by the violation of gender-stereotypic prescriptions [e.g., 179 , 180 ], that is having women well performing in agentic areas, which are typical associated to men. Performance penalization can thus be overcome by clearly conveying communal characteristics and behaviors [ 178 ].

Evidence has been provided on how the involvement of women in boards of directors and decision-making positions affects firms’ performance. Nevertheless, results are mixed, with some studies showing positive effects on financial [ 19 , 181 , 182 ] and corporate social performance [ 99 , 182 , 183 ]. Other studies maintain a negative association [e.g., 18 ], and other again mixed [e.g., 184 ] or non-significant association [e.g., 185 ]. Also with respect to the presence of a female CEO, mixed results emerged so far, with some researches demonstrating a positive effect on firm’s performance [e.g., 96 , 186 ], while other obtaining only a limited evidence of this relationship [e.g., 103 ] or a negative one [e.g., 187 ].

Finally, some studies have investigated whether and how women’s performance affects their hiring [e.g., 101 ] and career progression [e.g., 83 , 160 ]. For instance, academic performance leads to different returns in hiring for women and men. Specifically, high-achieving men are called back significantly more often than high-achieving women, which are penalized when they have a major in mathematics; this result depends on employers’ gendered standards for applicants [e.g., 101 ]. Once appointed, performance ratings are more strongly related to promotions for women than men, and promoted women typically show higher past performance ratings than those of promoted men. This suggesting that women are subject to stricter standards for promotion [e.g., 160 ].

Behavioral aspects related to gender follow two main streams of literature. The first examines female personality and behavior in the workplace, and their alignment with cultural expectations or stereotypes [e.g., 188 ] as well as their impacts on equality. There is a common bias that depicts women as less agentic than males. Certain characteristics, such as those more congruent with male behaviors–e.g., self-promotion [e.g., 189 ], negotiation skills [e.g., 190 ] and general agentic behavior [e.g., 191 ]–, are less accepted in women. However, characteristics such as individualism in women have been found to promote greater gender equality in society [ 192 ]. In addition, behaviors such as display of emotions [e.g., 193 ], which are stereotypically female, work against women’s acceptance in the workplace, requiring women to carefully moderate their behavior to avoid exclusion. A counter-intuitive result is that women and minorities, which are more marginalized in the workplace, tend to be better problem-solvers in innovation competitions due to their different knowledge bases [ 194 ].

The other side of the coin is examined in a parallel literature stream on behavior towards women in the workplace. As a result of biases, prejudices and stereotypes, women may experience adverse behavior from their colleagues, such as incivility and harassment, which undermine their well-being [e.g., 195 , 196 ]. Biases that go beyond gender, such as for overweight people, are also more strongly applied to women [ 197 ].

Organization.

The role of women and gender bias in organizations has been studied from different perspectives, which mirror those presented in detail in the following sections. Specifically, most research highlighted the stereotypical view of leaders [e.g., 105 ] and the roles played by women within firms, for instance referring to presence in the board of directors [e.g., 18 , 90 , 91 ], appointment as CEOs [e.g., 16 ], or top executives [e.g., 93 ].

Scholars have investigated antecedents and consequences of the presence of women in these apical roles. On the one side they looked at hiring and career progression [e.g., 83 , 92 , 160 , 168 , 198 ], finding women typically disadvantaged with respect to their male counterparts. On the other side, they studied women’s leadership styles and influence on the firm’s decision-making [e.g., 152 , 154 , 155 , 199 ], with implications for performance [e.g., 18 , 19 , 96 ].

Human capital.

Human capital is a transverse topic that touches upon many different aspects of female gender equality. As such, it has the most associations with other topics, starting with education as mentioned above, with career-related topics such as role , decision-making , hiring , career progression , performance , compensation , leadership and organization . Another topic with which there is a close connection is behavior . In general, human capital is approached both from the education standpoint but also from the perspective of social capital.

The behavioral aspect in human capital comprises research related to gender differences for example in cultural and religious beliefs that influence women’s attitudes and perceptions towards STEM subjects [ 142 , 200 – 202 ], towards employment [ 203 ] or towards environmental issues [ 150 , 204 ]. These cultural differences also emerge in the context of globalization which may accelerate gender equality in the workforce [ 205 , 206 ]. Gender differences also appear in behaviors such as motivation [ 207 ], and in negotiation [ 190 ], and have repercussions on women’s decision-making related to their careers. The so-called gender equality paradox sees women in countries with lower gender equality more likely to pursue studies and careers in STEM fields, whereas the gap in STEM enrollment widens as countries achieve greater equality in society [ 171 ].

Career progression is modeled by literature as a choice-process where personal preferences, culture and decision-making affect the chosen path and the outcomes. Some literature highlights how women tend to self-select into different professions than men, often due to stereotypes rather than actual ability to perform in these professions [ 142 , 144 ]. These stereotypes also affect the perceptions of female performance or the amount of human capital required to equal male performance [ 110 , 193 , 208 ], particularly for mothers [ 81 ]. It is therefore often assumed that women are better suited to less visible and less leadership -oriented roles [ 209 ]. Women also express differing preferences towards work-family balance, which affect whether and how they pursue human capital gains [ 210 ], and ultimately their career progression and salary .

On the other hand, men are often unaware of gendered processes and behaviors that they carry forward in their interactions and decision-making [ 211 , 212 ]. Therefore, initiatives aimed at increasing managers’ human capital –by raising awareness of gender disparities in their organizations and engaging them in diversity promotion–are essential steps to counter gender bias and segregation [ 213 ].

Emerging topics: Leadership and entrepreneurship

Among the emerging topics, the most pervasive one is women reaching leadership positions in the workforce and in society. This is still a rare occurrence for two main types of factors, on the one hand, bias and discrimination make it harder for women to access leadership positions [e.g., 214 – 216 ], on the other hand, the competitive nature and high pressure associated with leadership positions, coupled with the lack of women currently represented, reduce women’s desire to achieve them [e.g., 209 , 217 ]. Women are more effective leaders when they have access to education, resources and a diverse environment with representation [e.g., 218 , 219 ].

One sector where there is potential for women to carve out a leadership role is entrepreneurship . Although at the start of the millennium the discourse on entrepreneurship was found to be “discriminatory, gender-biased, ethnocentrically determined and ideologically controlled” [ 220 ], an increasing body of literature is studying how to stimulate female entrepreneurship as an alternative pathway to wealth, leadership and empowerment [e.g., 221 ]. Many barriers exist for women to access entrepreneurship, including the institutional and legal environment, social and cultural factors, access to knowledge and resources, and individual behavior [e.g., 222 , 223 ]. Education has been found to raise women’s entrepreneurial intentions [e.g., 224 ], although this effect is smaller than for men [e.g., 109 ]. In addition, increasing self-efficacy and risk-taking behavior constitute important success factors [e.g., 225 ].

Finally, the topic of sustainability is worth mentioning, as it is the primary objective of the SDGs and is closely associated with societal well-being. As society grapples with the effects of climate change and increasing depletion of natural resources, a narrative has emerged on women and their greater link to the environment [ 226 ]. Studies in developed countries have found some support for women leaders’ attention to sustainability issues in firms [e.g., 227 – 229 ], and smaller resource consumption by women [ 230 ]. At the same time, women will likely be more affected by the consequences of climate change [e.g., 230 ] but often lack the decision-making power to influence local decision-making on resource management and environmental policies [e.g., 231 ].

Research gaps and conclusions

Research on gender equality has advanced rapidly in the past decades, with a steady increase in publications, both in mainstream topics related to women in education and the workforce, and in emerging topics. Through a novel approach combining methods of text mining and social network analysis, we examined a comprehensive body of literature comprising 15,465 papers published between 2000 and mid 2021 on topics related to gender equality. We identified a set of 27 topics addressed by the literature and examined their connections.

At the highest level of abstraction, it is worth noting that papers abound on the identification of issues related to gender inequalities and imbalances in the workforce and in society. Literature has thoroughly examined the (unconscious) biases, barriers, stereotypes, and discriminatory behaviors that women are facing as a result of their gender. Instead, there are much fewer papers that discuss or demonstrate effective solutions to overcome gender bias [e.g., 121 , 143 , 145 , 163 , 194 , 213 , 232 ]. This is partly due to the relative ease in studying the status quo, as opposed to studying changes in the status quo. However, we observed a shift in the more recent years towards solution seeking in this domain, which we strongly encourage future researchers to focus on. In the future, we may focus on collecting and mapping pro-active contributions to gender studies, using additional Natural Language Processing techniques, able to measure the sentiment of scientific papers [ 43 ].

All of the mainstream topics identified in our literature review are closely related, and there is a wealth of insights looking at the intersection between issues such as education and career progression or human capital and role . However, emerging topics are worthy of being furtherly explored. It would be interesting to see more work on the topic of female entrepreneurship , exploring aspects such as education , personality , governance , management and leadership . For instance, how can education support female entrepreneurship? How can self-efficacy and risk-taking behaviors be taught or enhanced? What are the differences in managerial and governance styles of female entrepreneurs? Which personality traits are associated with successful entrepreneurs? Which traits are preferred by venture capitalists and funding bodies?

The emerging topic of sustainability also deserves further attention, as our society struggles with climate change and its consequences. It would be interesting to see more research on the intersection between sustainability and entrepreneurship , looking at how female entrepreneurs are tackling sustainability issues, examining both their business models and their company governance . In addition, scholars are suggested to dig deeper into the relationship between family values and behaviors.

Moreover, it would be relevant to understand how women’s networks (social capital), or the composition and structure of social networks involving both women and men, enable them to increase their remuneration and reach top corporate positions, participate in key decision-making bodies, and have a voice in communities. Furthermore, the achievement of gender equality might significantly change firm networks and ecosystems, with important implications for their performance and survival.

Similarly, research at the nexus of (corporate) governance , career progression , compensation and female empowerment could yield useful insights–for example discussing how enterprises, institutions and countries are managed and the impact for women and other minorities. Are there specific governance structures that favor diversity and inclusion?

Lastly, we foresee an emerging stream of research pertaining how the spread of the COVID-19 pandemic challenged women, especially in the workforce, by making gender biases more evident.

For our analysis, we considered a set of 15,465 articles downloaded from the Scopus database (which is the largest abstract and citation database of peer-reviewed literature). As we were interested in reviewing business and economics related gender studies, we only considered those papers published in journals listed in the Academic Journal Guide (AJG) 2018 ranking of the Chartered Association of Business Schools (CABS). All the journals listed in this ranking are also indexed by Scopus. Therefore, looking at a single database (i.e., Scopus) should not be considered a limitation of our study. However, future research could consider different databases and inclusion criteria.

With our literature review, we offer researchers a comprehensive map of major gender-related research trends over the past twenty-two years. This can serve as a lens to look to the future, contributing to the achievement of SDG5. Researchers may use our study as a starting point to identify key themes addressed in the literature. In addition, our methodological approach–based on the use of the Semantic Brand Score and its webapp–could support scholars interested in reviewing other areas of research.

Supporting information

S1 text. keywords used for paper selection..

https://doi.org/10.1371/journal.pone.0256474.s001

Acknowledgments

The computing resources and the related technical support used for this work have been provided by CRESCO/ENEAGRID High Performance Computing infrastructure and its staff. CRESCO/ENEAGRID High Performance Computing infrastructure is funded by ENEA, the Italian National Agency for New Technologies, Energy and Sustainable Economic Development and by Italian and European research programmes (see http://www.cresco.enea.it/english for information).

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• 06 September 2023

Gender equality: the route to a better world

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The Mosuo people of China include sub-communities in which inheritance passes down either the male or the female line. Credit: TPG/Getty

The fight for global gender equality is nowhere close to being won. Take education: in 87 countries, less than half of women and girls complete secondary schooling, according to 2023 data. Afghanistan’s Taliban continues to ban women and girls from secondary schools and universities . Or take reproductive health: abortion rights have been curtailed in 22 US states since the Supreme Court struck down federal protections, depriving women and girls of autonomy and restricting access to sexual and reproductive health care .

SDG 5, whose stated aim is to “achieve gender equality and empower all women and girls”, is the fifth of the 17 United Nations Sustainable Development Goals, all of which Nature is examining in a series of editorials. SDG 5 includes targets for ending discrimination and violence against women and girls in both public and private spheres, eradicating child marriage and female genital mutilation, ensuring sexual and reproductive rights, achieving equal representation of women in leadership positions and granting equal rights to economic resources. Globally, the goal is not on track to being achieved, and just a handful of countries have hit all the targets.

How the world should oppose the Taliban’s war on women and girls

In July, the UN introduced two new indices (see go.nature.com/3eus9ue ), the Women’s Empowerment Index (WEI) and the Global Gender Parity Index (GGPI). The WEI measures women’s ability and freedoms to make their own choices; the GGPI describes the gap between women and men in areas such as health, education, inclusion and decision making. The indices reveal, depressingly, that even achieving a small gender gap does not automatically translate to high levels of women’s empowerment: 114 countries feature in both indices, but countries that do well on both scores cover fewer than 1% of all girls and women.

The COVID-19 pandemic has made things worse, with women bearing the highest burden of extra unpaid childcare when schools needed to close, and subjected to intensified domestic violence. Although child marriages declined from 21% of all marriages in 2016 to 19% in 2022, the pandemic threatened even this incremental progress, pushing up to 10 million more girls into risk of child marriage over the next decade, in addition to the 100 million girls who were at risk before the pandemic.

Of the 14 indicators for SDG 5, only one or two are close to being met by the 2030 deadline. As of 1 January 2023, women occupied 35.4% of seats in local-government assemblies, an increase from 33.9% in 2020 (the target is gender parity by 2030). In 115 countries for which data were available, around three-quarters, on average, of the necessary laws guaranteeing full and equal access to sexual and reproductive health and rights had been enacted. But the UN estimates that worldwide, only 57% of women who are married or in a union make their own decisions regarding sexual and reproductive health and rights.

Systemic discrimination against girls and women by men, in many contexts, remains a colossal barrier to achieving gender equality. But patriarchy is not some “natural order of things” , argues Ruth Mace, an anthropologist at University College London. Hundreds of women-centred societies exist around the world. As the science writer Angela Saini describes in her latest book, The Patriarchs , these are often not the polar opposite of male-dominated systems, but societies in which men and women share decision making .

After Roe v. Wade: dwindling US abortion access is harming health a year later

One example comes from the Mosuo people in China, who have both ‘matrilineal’ and ‘patrilineal’ communities, with rights such as inheritance passing down either the male or female line. Researchers compared outcomes for inflammation and hypertension in men and women in these communities, and found that women in matrilineal societies, in which they have greater autonomy and control over resources, experienced better health outcomes. The researchers found no significant negative effect of matriliny on health outcomes for men ( A.  Z. Reynolds et al. Proc. Natl Acad. Sci. USA 117 , 30324–30327; 2020 ).

When it comes to the SDGs, evidence is emerging that a more gender-equal approach to politics and power benefits many goals. In a study published in May, Nobue Amanuma, deputy director of the Integrated Sustainability Centre at the Institute for Global Environmental Strategies in Hayama, Japan, and two of her colleagues tested whether countries with more women legislators, and more younger legislators, are performing better in the SDGs ( N. Amanuma et al. Environ. Res. Lett. 18 , 054018; 2023 ). They found it was so, with the effect more marked for socio-economic goals such as ending poverty and hunger, than for environmental ones such as climate action or preserving life on land. The researchers recommend further qualitative and quantitative studies to better understand the reasons.

The reality that gender equality leads to better outcomes across other SDGs is not factored, however, into most of the goals themselves. Of the 230 unique indicators of the SDGs, 51 explicitly reference women, girls, gender or sex, including the 14 indicators in SDG 5. But there is not enough collaboration between organizations responsible for the different SDGs to ensure that sex and gender are taken into account. The indicator for the sanitation target (SDG 6) does not include data disaggregated by sex or gender ( Nature 620 , 7; 2023 ). Unless we have this knowledge, it will be hard to track improvements in this and other SDGs.

The road to a gender-equal world is long, and women’s power and freedom to make choices is still very constrained. But the evidence from science is getting stronger: distributing power between genders creates the kind of world we all need and want to be living in.

Nature 621 , 8 (2023)

doi: https://doi.org/10.1038/d41586-023-02745-9

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Promoting Gender Equality: A Systematic Review of Interventions

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• Published: 01 September 2022
• Volume 35 , pages 318–343, ( 2022 )

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• Michaela Guthridge   ORCID: orcid.org/0000-0002-5157-9839 1 , 3 ,
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More than four decades have passed since the United Nation’s Convention on the Elimination of All Forms of Discrimination against Women (CEDAW) was adopted. Now is an opportune time to consider whether the interventions seeking to realise CEDAW’s aspirations have brought us closer to achieving gender equality. This systematic review aimed to identify and synthesise evidence for the effectiveness of social justice, cognitive, or behaviour-change interventions that sought to reduce gender inequality, gender bias, or discrimination against women or girls. Interventions could be implemented in any context, with any mode of delivery and duration, if they measured gender equity or discrimination outcomes, and were published in English in peer-reviewed journals. Papers on violence against women and sexuality were not eligible. Seventy-eight papers reporting qualitative (n = 36), quantitative (n = 23), and multi-methods (n = 19) research projects met the eligibility criteria after screening 7,832 citations identified from psycINFO, ProQuest, Scopus searches, reference lists and expert recommendations. Findings were synthesised narratively. Improved gender inclusion was the most frequently reported change (n = 39), particularly for education and media interventions. Fifty percent of interventions measuring social change in gender equality did not achieve beneficial effects. Most gender mainstreaming interventions had only partial beneficial effects on outcomes, calling into question their efficacy in practice. Twenty-eight interventions used education and awareness-raising strategies, which also predominantly had only partial beneficial effects. Overall research quality was low to moderate, and the key findings created doubt that interventions to date have achieved meaningful change. Interventions may not have achieved macrolevel change because they did not explicitly address meso and micro change. We conclude with a summary of the evidence for key determinants of the promotion of gender equality, including a call to address men’s emotional responses (micro) in the process of achieving gender equality (micro/meso/macrolevels).

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Introduction

The adoption of CEDAW was a remarkable achievement in the history of the women’s movement. Its ultimate aim was to catalyse social transformation that transcends cursory legislative reform (Facio & Morgan, 2009 ). Article 3 of CEDAW promotes this social transformation, calling for state parties to ‘take all appropriate measures’ to achieve gender equality. In practice this has included, but has not been limited to, gender-blind strategies, awareness raising, litigation, international advocacy, art and social media activism, and gender mainstreaming (see Table 1 for definition).

The Global Gender Gap Index 2022 benchmarks 146 countries on the evolution of gender-based gaps in economic participation and opportunity, educational attainment, health and survival, and political empowerment (World Economic Forum, 2022 ). Although the Index measures gender parity (defined in Table 1 ) rather than substantive equality, it is a useful tool for analysing progression and regression. With scores depicting the distance to parity on a scale of zero to one hundred, the 2022 Report found the average distance completed to parity was 68 per cent. With the present trajectory, it will take 132 years to close the gender gap and 151 years to achieve equal economic participation and opportunity (World Economic Forum, 2022 ). Moreover, these estimates are predicted to worsen as the world faces crises in politics, economics, health, food, and the environment. Now more than ever we must assess our successes and failures in attempting to reduce gender inequality and discrimination.

The aim of this systematic review was to identify and synthesise evidence of the effectiveness of social justice interventions that sought to reduce gender inequality, gender bias, or discrimination against women and girls. Because recent systematic reviews have examined the effectiveness of interventions targeting violence against women and sexuality (e.g. Karakurt et al., 2019 ; Bourey et al., 2015 ; Yakubovich et al., 2018 ) we did not include these types of interventions. We were unable, however, to identify systematic reviews examining other interventions targeting gender equality. Therefore, this review focused on interventions that sought to achieve gender equality in any political, social, cultural or economic context, except violence against women and sexuality.

Theoretical Framework

The truism ‘context matters’ is pertinent to this systematic review. According to contextual social psychology, effects brought about at a microlevel are modified by the mesolevel and macrolevel, and vice versa (Pettigrew, 2021 ). In this review, microlevel variables include individual characteristics, including biology, beliefs, behaviours, values, and emotions, such as empathy and resentment. Mesolevel contextual factors include interpersonal interactions in family, work, and school etc. (e.g. gender segregation), and macrolevel context includes broader social and cultural norms, including religion and politics. Social norms in this context are “rules of action shared by people in a given society or group; they define what is considered normal and acceptable behaviour for the members of that group” (Cislaghi & Heise, 2020 , p. 409). In this sense, social norms exist within the mind, while gender norms exist outside it, and both are produced and reproduced through social interaction. In contextual social psychology, beliefs are embedded in institutions that affect our relational behaviours. While there are psychological causes of macrophenomena (Pettigrew, 2021 ), these phenomena (such as patriarchy) also influence individual affect. For example, affirmative action laws (macro) should increase contact between genders (meso), which in turn should reduce individual prejudice (micro). While this is a top down example, it also works from the bottom up, whereby micro behaviours can affect macrophenomena. In this context, prejudice against women and girls is a “multilevel syndrome” (Pettigrew, 2021 , p. 74).

“Systems thinking” also recognises the intersection between problems and processes from local to global levels (Arnold & Wade, 2015 ). Systems thinking is a complex interplay of a multitude of constantly evolving factors (Banerjee & Lowalekar, 2021 ). According to systems thinking, gender equality will be realised when interventions at the micro, meso and macrolevel are configured holistically, rather than individualistically. Interventions at any level need to consider and accommodate the role of processes and factors that may support or hinder the effectiveness of the intervention to yield population benefits. The different contextual levels that impact on gender inequality may be successfully tackled by feminist movements, but integrating the interventions pluralistically rather than monistically remains elusive as feminist movements appear to continue to work in silos. In undertaking strategies across different contexts, however, we are more likely to achieve substantive equality. But we need to address this complexity in the three contextual levels (micro, meso, macro) in order to predict, modify and eliminate discrimination against women and girls. These theoretical frameworks are used throughout this review to aid the synthesis of the evidence and identification of implications for practice.

Review Design

The Sample, Phenomena of Interest, Design, Evaluation, Research type (SPIDER) tool was used to design the review (Cooke et al., 2012 ). SPIDER is appropriate for systematic reviews of quantitative, qualitative, and multi-methods research. We use the term multi method rather than mixed method because mixed method studies could be considered to have used multiple methods of data collection/analysis, but not all multi-methods studies follow “mixed methods” procedures as they do not always provide an integrated synthesis of findings across the methods used (Creswell, 2009 ). The search terms are documented in Supplementary Tables 1 and 2. The review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines (Page et al., 2021 ). Rapid review methods were used for citation screening and data extraction (Plüddemann et al., 2018 ). Papers were eligible according to the criteria defined below.

The sample could include people of any age, race, or gender in local, global, or transboundary intervention contexts. The phenomena of interest included any social justice, cognitive or behaviour-change interventions that sought to reduce gender inequality, gender bias, or discrimination against women, with any mode of delivery and duration. Interventions could be any type of program (e.g. behaviour change), policy (e.g. gender mainstreaming), process (e.g. awareness raising) or experimental condition that aimed to influence gender-focused outcomes. An intervention was categorised as achieving its aim (e.g., having a beneficial effect on gender equality or reducing discrimination), partially achieving its aim, not achieving its aim according to the assessment in the paper (i.e. if the analyses in the respective paper found that the intervention did not work), or having a harmful effect (i.e. resulting in increased discrimination or inequality).

The intervention being investigated could have been administered by any party, including expert advocates, government or non-government organisations (NGOs), social justice enterprises, or academic researchers. The research design did not need to include a comparator or control group, but must have incorporated a between-groups or pre-post comparison, or retrospective assessment of the impact, feasibility or acceptability of the intervention or program. The primary outcome for evaluation was any measure of actual or perceived level of, or change in, gender (in)equality, gender bias, or discrimination against women or girls. Secondary outcomes were the perceived level of inclusion, solidarity, awareness, empowerment, or equity. The research methods could include qualitative, quantitative, and mixed- or multi-methods. Eligible papers were published in peer-reviewed journals in English from 1990 to 2022. Whilst CEDAW was adopted in 1979, this timeframe was selected to ensure contemporaneity. A protocol for the review was developed a priori, but not registered.

Search Strategy and Eligibility Screening

As this was a review of research across multiple disciplines, three databases were used: Scopus, ProQuest, and psycINFO, in addition to reviewing reference lists and recommendations by experts. Search terms were adapted to each database. After screening the first search results it was evident that the terms were not broad enough, so a second search including additional terms was undertaken (see Supplementary Tables 1 and 2 for terms of both search strategies). All search results were uploaded to Covidence for eligibility screening and duplicate removal by reviewer one. Using Abstrackr, a second author screened a minimum of 10 percent of citations, consistent with rapid review methods (Plüddemann et al., 2018 ), or until < 50 percent of citations were predicted to be relevant. Abstrackr is a machine-learning program that generates predictions of the likely relevance of records based on judgements made by the reviewer (Wallace et al., 2012 ), which has been found to have excellent sensitivity and to generate significant workload savings (Giummarra et al., 2020 ). After titles and abstracts were screened, full text articles were assessed against the eligibility criteria, noting reasons for exclusion. Both reviewers met to discuss any conflicts; if consensus could not be reached a third author was consulted. The authors included experts in gender equality who provided significant input into the search strategy, identification of relevant literature, and synthesis.

Quality Assessment

The quality of research was assessed by the first author using a standard method (Kmet et al., 2004 ) with the added criterion of whether papers reported approval by a formally constituted human research ethics committee. Supplementary Tables 3–5 specify the quality criteria. Overall quality was classified as poor (studies meeting < 0.50 criteria), adequate (0.50–0.69), good (0.70–0.80), or strong (> 0.80) consistent with previous studies (Parsons et al., 2017 ).

Data Extraction and Synthesis

Data were extracted in three categories: The authors and publication year of the paper ; research aims, theoretical approach, methods, sample size, eligibility criteria, and sample characteristics; and, the intervention , aim, type, sector, geographic region, description, duration, targeted outcomes, effects, and short- and long-term impacts. Figures to summarise the proportion of studies from different geographic regions were generated using www.sankeymatic.com/build/ . Ten percent of the full-text articles were randomly selected, stratified by research method, for independent data extraction by a second author, consistent with rapid review methods (Plüddemann et al., 2018 ). The data extracted from both reviewers was cross-checked for accuracy and completeness. Sources of heterogeneity were noted, particularly variation in study samples, settings, contexts and intervention designs or aims. Given the heterogeneity of the interventions and the research, meta-analysis and meta-synthesis were not appropriate. Therefore, the findings were thematically synthesised according to intervention sector (e.g. education, employment etc.) and context (i.e., micro, meso and macro levels).

A total of 7,832 records were screened for eligibility with the last search conducted on 18 July 2022 (Fig.  1 ). Seventy-eight papers, each reporting a single intervention and using qualitative (n = 36), multi (19), or quantitative (23) methods, met the inclusion criteria. The characteristics of qualitative, quantitative, and multi-methods studies are summarised in Supplementary Tables 6, 7, and 8, respectively. The intervention effects for each study are summarised in Supplementary Tables 9 and 10.

Preferred Reporting Items for Systematic review and Meta-Analysis Protocol (PRISMA) Flow Diagram

Five interventions were at the microlevel, 37 were at the mesolevel, and 17 were at the macrolevel. The final 19 interventions straddled micro-meso, meso-macro, or micro–macro. No intervention covered all three levels or took a systems thinking approach.

The overall quality of each paper is detailed in Supplementary Tables 6–8, and ratings for each quality domain are in Supplementary Tables 3–5. Studies using quantitative methods (range 0.58–1.00; median = 0.92, Q1 = 0.82, Q3 = 1.00) had significantly higher quality than qualitative (range 0.41–0.91; median = 0.73, Q1 = 0.67, Q3 = 0.79; χ2(1) = 13.71, p  < 0.001) and multi-method studies (range 0.48–0.94; median = 0.76, Q1 = 0.63, Q3 = 0.82; χ2(1) = 21.96, p  < 0.001). There was no difference in the quality of qualitative and multi-methods studies ( p  = 0.97).

All quantitative studies articulated the research question and reported the results adequately. Randomisation and blinding were used in most studies. While estimates of variance and controlling for confounding were not consistently reported, 18 studies using quantitative methods were considered to be strong quality, and seven had a perfect score.

In reports of qualitative studies, the study design, context, and conclusion were generally addressed well. However, only six studies used verification processes (see Table 1 for definition). No qualitative study received a perfect score; 20 studies were considered to be good quality.

For multi-method studies, the objective, context, data collection, analysis, and conclusion were generally reported well. Blinding was not applicable, and estimates of variance and control of confounding were generally not reported. No multi-method study received a perfect score although the quality of six of multi-methods papers was assessed as good.

Corresponding authors were contacted to confirm ethics approval; authors of two papers confirmed that the study did not receive ethics approval, and authors from 16 studies did not respond or confirm whether they had ethics approval. The omission of evidence of ethical approval is concerning and should be addressed in all future research with humans. The 18 studies with respect to which we either could not confirm ethics approval or did not receive ethics approval were all published in highly ranked journals. Furthermore, it was not, in general, clear in the majority of papers which agency or organisation conducted the intervention or undertook the study (e.g. government agency, NGO, academic researchers) making it difficult to assess reflexivity, and the prospect of future implementation.

Included Interventions

Intervention sectors.

Interventions were implemented and evaluated in various sectors: education (26 interventions); politics (10); employment (8); information, communications, and technology (6); legal (5); economics (6); health (3); sustainable development and land rights (3); sport (3); and women’s and girls’ rights (2). Interventions in the areas of conflict and of water, sanitation, and hygiene were reported in one paper each.

Intervention Settings

Interventions were set evenly throughout the Global South (35 papers) and the Global North (39 papers). Interventions were evaluated in Africa (15), Europe (12), North America (19), Asia (10), Latin America (6), the Middle East and North Africa (4), the United Kingdom (6), and the Pacific (4). Just under half of the Global South interventions were conducted in rural settings (16/35), whereas Global North interventions tended to be urban (22/39) (Fig.  2 ).

Settings for interventions in Global North and South Countries

Research Participant Characteristics

Twenty-seven interventions included both women and men as participants, 30 included only women, and one intervention included only men. Thirteen studies did not report the gender of the sample, and in seven studies gender of the sample or population was not applicable (e.g. intervention sought to affect a broad population approach irrespective of gender, such as a new law that applied to the whole population in order to improve gender equality, or a collective political party that sought to influence gender issues in parliament). Thirty papers did not report other participant demographic characteristics. Where sample characteristics were reported, participants were 10–80 years of age, with education level ranging from none to post-graduate.

Study Characteristics

All papers but one (Devasia, 1998 ) were published after 2005. Most papers reported data gathered across years, with twelve interventions taking place over hours or weeks. The timeframe did not appear to be associated with whether or not the intervention had a significant beneficial effect on the aims of the intervention. For example, McGregor and Davies’ ( 2019 ) two year study of the effects of a pay equity campaign achieved its aim (legislation was enacted), but Hayhurst’s ( 2014 ) girls’ entrepreneurship study that ran for several years had harmful effects (girls income was taken by men). Similarly, Zawadzki et al., ( 2012 ) board game intervention that takes 60–90 min achieved its aims but Krishnan et al. ( 2014 ) conditional cash transfer study over a month had no effect on social change.

In the qualitative and multi-method studies, theoretical frameworks were rarely reported. The few papers that did report theoretical frameworks used feminist standpoint theory, post-structuralist feminist theory, or social constructivist theory. Qualitative data collection methods were diverse: interviews (41 studies), focus groups (19), document analysis (18), observations (15), case studies (2), and visual techniques (e.g. PhotoVoice) (2). Quantitative and multi-method studies predominantly used surveys and questionnaires (22), with one study each using of the following tools: Gender Equitable Men’s Scale (Gottert et al., 2016 ), the Knowledge of Gender Equity Scale, the Empathy Questionnaire (Spreng et al., 2009 ), the Feminist Identity Scale (Rickard, 1989 ), and the Gender Related System Justification scale (Jost & Kay, 2003 ).

Few interventions aimed to achieve gender equality per se. Rather, they aimed to achieve components of gender equality (see Table 1 for definition), which ranged from gender neutrality through to striving towards a feminist revolution. Overall aims included greater awareness, inclusion, empowerment, parity, equity, and substantive equality (Supplementary Tables 6–8, column 3). The evaluation of whether interventions achieved their aims was usually assessed through surveying participants. The most common aim was to enhance “empowerment” (n = 18), which was generally not clearly defined. The interventions had various levels of effectiveness, with 37 studies having a significant beneficial effect on the aim of the intervention (i.e., they achieved their aims); 31 having a partial beneficial impact on the aim of the intervention; four studies having no beneficial or harmful impact on the aim of the intervention; and six studies having a harmful effect on the aim of the intervention (e.g., the intervention led to increased discrimination, inequality, or abuse). Examples of harmful effects include the ‘Girl Effect’ program in Uganda which resulted in participants being abused or robbed of the money they had earned (Hayhurst, 2014 ), and a girls’ resiliency program in the USA that resulted in increased abuse from male peers (Brinkman et al., 2011 ).

Intervention Design and Effectiveness by Sector

Education and training interventions.

Evaluations of education and training interventions were reported in 18 papers (6 qualitative, 6 quantitative, 6 multi-methods). Education interventions covered a range contexts (3 micro-meso, 11 meso, 3 meso-macro, 1 macro). Most interventions (14) used awareness-raising workshops targeting individual change, and reported only partially achieving the aim of the interventions. Five workshops were assessed in randomised controlled trials. Two qualitative studies targeted increasing girls’ enrolment in formal education in Morocco (Eger et al., 2018 ) and India (Jain & Singh, 2017 ), both of which achieved the aims of the interventions. One qualitative study in the Democratic Republic of Congo targeted behaviour change in men only (Pierotti et al., 2018 ), which had a partial beneficial effect because men increased their willingness to contribute to household chores but maintained control over the broader gender system. This intervention was an eight-week long mesolevel men’s discussion group focused on “undoing gender” through social interaction (e.g. promoting a more equal division of labour in the household, improving intra-household relationship quality, and questioning existing gender norms).

Gender parity in schools did not signal an end to, or transformation of, gender inequities in the schools or communities studied (Ralfe, 2009 ). To bring about education policy reform, Palmén et al. ( 2020 ) found that top-down institutional commitment to gender equality was essential to create change. However, bottom-up strategies were also needed as teachers had to foster cooperative learning that encouraged working together and valuing different abilities across genders (Sánchez-Hernández et al., 2018 ). Sufficient resources, in addition to monitoring and evaluation of education initiatives, were found to be a key to intervention success (Palmén et al., 2020 ). Ultimately, social norms did not change beyond the school environment (Chisamya et al., 2012 ; Jain & Singh, 2017 ).

While interventions in traditional education contexts only partially achieved their aims, experiential learning was found to be a powerful process to deliver knowledge about gender equity in a nonthreatening way (Zawadzki et al., 2012a ). Zawadzki’s study was a mesolevel intervention that used a board game to teach participants the cumulative effect of subtle, nonconscious bias, to discuss how bias hinders women’s promotion in the workplace, and to find solutions for what can be done to reduce that bias. They found that the delivery of information was less effective when new knowledge did not promote self-efficacy or lead participants to resist perceived attempts to influence their beliefs or behaviours. Furthermore, they established that learning about gender inequity was not sufficient for knowledge retention. Rather, participants had to link the knowledge to their own experiences and be empowered to feel that they could act on that knowledge.

Awareness-raising interventions in education and training generally only partially achieved the aims of the interventions, and did not necessarily translate into behaviour change (Ralfe, 2009 ). In the strong quality (0.93) quantitative mesolevel study by Moss-Racusin et al. ( 2018 ), the Video Interventions for Diversity in STEM (VIDS) intervention was found to achieve significantly greater awareness of bias in participants compared to the non-intervention control condition; however, effects on behaviour were not assessed. This intervention presented participants with short videos about findings from gender bias research in one of three conditions. One condition illustrated findings using narratives (compelling stories), the second presented the same results using expert interviews (straightforward facts), and a hybrid condition included both narrative and expert interview videos.

A lack of awareness, knowledge, or understanding of women’s human rights was found to be a key barrier to the achievement of gender equality in education-based interventions (Murphy-Graham, 2009 ). Gervais ( 2010 ) reported that awareness-raising can have direct effects on participants by giving them confidence to speak up against violations of their rights, although they noted that this might anger violators. Similarly, education was found in some cases to enable women to negotiate power-sharing with their husbands, while other women were verbally abused and threatened because their husbands disapproved of the education program (Murphy-Graham, 2009 ). Similar to the study by Pierotti et al. ( 2018 ), Murphy-Graham ( 2009 ) sought to “undo gender” by encouraging students to rethink gender relations in their everyday lives (mesolevel). Including men together with women in education programs enabled women to gauge men’s reactions to social change in a safe environment (Cislaghi et al., 2019 ). Potential harmful effects of interventions are further summarised under the ‘The problem of hostile affect’ header below.

STEM Education

Among education interventions were a subset of Science, Technology, Engineering and Maths (STEM) education interventions. These specifically targeted secondary school girls as a pathway to tertiary STEM education, and were reported in eight papers (1 qualitative, 3 quantitative, 4 multi methods). The design of interventions varied from science clubs, outreach programs, after school sessions, residential camps and immersion days. Archer et al. ( 2014 ), however, took a multipronged approach. Their intervention included school excursions, visits from STEM Ambassadors and a researcher-in-residence, a STEM ‘speed networking’ event, and participation in a series of teacher-led sessions for girls aged 13–14 years. Despite this significant investment, the intervention did not significantly change students’ aspirations of studying science, although it did appear to have a beneficial effect on broadening students’ understanding of the range of science jobs.

All STEM education interventions were aimed at the mesolevel and were located in the urban Global North. While the long-term impact (e.g. increased enrolment of women into tertiary STEM education) were inconsistent among studies. Gorbacheva et al. ( 2014 ) found that secondary same-sex education had no influence on this objective. Alternatively, Hughes et al. ( 2013 ) found having role models was more critical than sex segregation. Finally, Lackey et al. ( 2007 ), Lang et al. ( 2015 ) and Watermeyer ( 2012 ) all established that a network of support (e.g. family, school, industry) made a positive difference to girls equality in STEM education.

Employment Interventions

Eight interventions focused on women’s employment: 4 qualitative, 2 quantitative, 2 multi-methods studies. They covered a range of contexts (1 micro/meso, 5 meso, 2 meso/macro). Three interventions addressed women’s promotion (Eriksson‐Zetterquist & Styhre, 2008 ; Grada et al., 2015 ; Smith et al., 2015 ). Two interventions evaluated microenterprise; one produced harmful effects (Hayhurst, 2014 ), and the other only partially achieved its aim (Strier, 2010 ). Hayhurst ( 2014 ) evaluated an intervention auspiced by the Nike Foundation and concluded that it had an unfair and deleterious effect by placing the burden of social change on girls. In this intervention, focusing on the mesolevel, girls were taught to be entrepreneurs to enable them to escape abuse, buy land, grow food, and work. In practice, this economic empowerment strategy led to increased abuse by men who wanted to take the girls’ money to pay their own taxes and fines. This study was good quality (0.73). Participants in the study by Strier ( 2010 ) thought that microenterprise promised self-realisation and escape from the slavery of the labour market, but they found it to be a false promise, characterising the informal sector as both a disappointment and a fraud. Overall, employment interventions led to unreliable and inconsistent outcomes.

Economic Interventions

Six interventions (1 qualitative, 2 quantitative, 3 multi-methods studies) addressed various contexts (1 micro, 1 micro/macro, 2 meso/macro, 2 macro interventions) that targeted economic empowerment. Overall, the interventions partially achieved their aims. For microfinance interventions, women benefited less than men because they were given smaller loans for less lucrative businesses (Haase, 2012 ). Krishnan et al. ( 2014 ) conducted a good quality (0.79) multi-method study of a micro–macro level intervention that provided conditional cash transfers in India, and found minimal positive effects from the implementation of this scheme to address social behaviours related to valuing girls. In this study, parents had to register the birth of their daughter in order to receive financial benefit, but this did not transform the social mindset that daughters are a burden. In another study, the size and frequency of cash transfers directly influenced outcomes: large but infrequent payments enabled investment that could facilitate economic transformation (Morton, 2019 ). Lump-sum payments also challenged stereotypes about what women could invest in, and could transform the gender asset gap. Institution of a social protection floor (e.g. welfare benefits) enhanced women’s power and control over household decision-making in financial matters and household spending in South Africa (Patel et al., 2013 ). While a social protection floor had benefits for women’s empowerment at the microlevel, it did not transform unequal and unjust gendered social relations of power at the macrolevel.

Legal Interventions

Five interventions (3 qualitative, 2 quantitative studies) in two contexts (1 meso/macro, 4 macro) reported on legal interventions. In Zartaloudis’s ( 2015 ) qualitative macrolevel study of an employment strategy in Greece and Portugal, legislation was found to have an important but not transformative effect on gender equality in employment. Three other studies found that changes in law must be accompanied by incentives and penalties in order to be effective (Kim & Kang, 2016 ; Palmén et al., 2020 ; Singh & Peng, 2010 ). While the decline in levels of discrimination was at first sharp after enacting anti-discrimination legislation, its implementation plateaued over time, calling into question the long-term sustainable effects of law reform without adequate enforcement mechanisms. In this macrolevel study by Singh and Peng ( 2010 ), the Ontario Pay Equity Act was effective because it was proactive in persuing pay equity, rather than being complaint based.

Legal opportunity and litigation were strategic choices in campaign strategies in one study, playing an important role in effecting change to prevent discriminatory pay for work typically performed by women (McGregor & Davies, 2019 ). The strong quality (0.92) macrolevel study by Mueller et al. ( 2019 ) increased access to legal services in order to improve legal knowledge in rural Tanzania. It found that, despite increased access to legal services, women still had moderate to low knowledge of marital laws, and only 2.7 percent of women would refer someone to a paralegal for problems with a widow’s assets, divorce, or marital disputes. Mueller et al. ( 2019 ) concluded that an increased investment in access to justice needed to be made through informal channels (mesolevel change) in addition to the macrolevel law reform.

Political Interventions

Ten papers (4 qualitative, 3 quantitative, 3 multi-methods studies) that covered a variety of contexts (1 micro/meso, 2 meso, 2 meso/macro, 5 macro) reported assessments of political interventions. Electing women to council increased other women’s access to councillors because women had greater heterosocial networks (i.e., comprising women and men), but did not affect men’s access to councillors (Benstead, 2019 ; Levy & Sakaiya, 2020 ). However, increasing the number of women in public office did not necessarily improve equality (McLean & Maalsen, 2017 ). For example, an evaluation of gendered outcomes of Hon. Julia Gillard’s tenure as Prime Minister of Australia saw increased gender-based denigration and vilification of her leadership (McLean & Maalsen, 2017 ).

A qualitative macro study using interviews and ethnography to explore the impact of political gender quotas in Mali (Johnson, 2019 ) found that savings groups, together with political gender quotas, were important for catalysing the first steps towards social and political transformation. In Mali, gender quota laws required political parties to field a minimum of 30 percent women candidates, and to include a woman within the first three places on a party’s candidate list. In this context, savings and credit associations developed women’s self-efficacy and increased their confidence to become political candidates (Johnson, 2019 ).

An example of discursive change based on political activism was found by Cowell-Meyers’ ( 2017 ) multi-method study examining the impact of a new feminist political party in Sweden. Near consensus by political parties that gender equality needed to be tackled through government intervention was achieved through the efforts of the small women’s rights party. However, another multi-method mesolevel study examining the effects of Transnational Advocacy Networks (TANs) in Europe found that they either ignored or subverted gender mainstreaming language (S. Lang, 2009 ). Gender mainstreaming policy interventions were found to have only partially achieved their aims, but were successful when law and policy detailed specific roles and responsibilities for action (Kim & Kang, 2016 ). Policymakers in two other studies were found to avoid the responsibility of implementation not because they opposed gender mainstreaming itself, but because they objected to being forced into it (Hwang & Wu, 2019 ; Kim & Kang, 2016 ). Therefore, the attitude of bureaucrats (microlevel) was considered to be an important factor in implementing gender equality initiatives at the macrolevel.

The strong (perfect quality score) quantitative study by Saguy and Szekeres ( 2018 ) reported on the effect on gender-based attitudes (microlevel) following exposure to the 2017 Women’s March across the US and worldwide in response to Donald Trump’s inauguration. The research found that large-scale collective action had a polarising effect on those exposed to it. Over time, men who identified more closely with their own gender increased the degree to which they justified gender inequality after exposure to the protests, suggesting a backlash reaction (mesolevel). People who were found to be positively affected by collective action were already in favour of the protesters’ cause. The backlash found for high-identifying men was explained by reactance theory (Brehm, 1966 ) whereby people become motivationally aroused by a threat to or elimination of a behavioral freedom (Brehm, 1989 ).

Barriers to Achieving Gender Equality: The Problem of Hostile Affect

No study accounted for men’s and boys’ emotions (microlevel change) as part of the aim and design of the intervention, but their significance became apparent in the results of several studies. Men and boys reported feeling hostility, resentment, fear and jealousy when social norms were challenged. Attempts at addressing gender inequality were found to threaten men’s sense of entitlement, and it was theorised that boys expected to be the centre of attention (Brinkman et al., 2011 ). In the meso study by MacPhail et al. ( 2019 ) that evaluated a men’s participation program in South Africa, participants reported equality as a zero-sum game that meant respecting women equated to disrespecting men. In that intervention, activities included intensive small group workshops, informal community dialogue through home visits, mural painting to stimulate discussions of key messages, informal theatre, soccer tournaments, and film screenings. In another study, women’s oppression was maintained by men because they feared losing control of ‘their’ women (Devasia, 1998 ). In several studies, men shared their fear of being perceived as weak or feminine in front of their peers or community (Bigler et al., 2019 ; McCarthy & Moon, 2018 ; Murphy-Graham, 2009 ; Pierotti et al., 2018 ; Singhal & Rattine-Flaherty, 2006 ). Male participants in the study by Pierotti et al. ( 2018 ) believed that allowing women to be leaders in households would disintegrate society. They believed that upholding men’s lack of accountability and position as ‘boss’ was important to maintaining the fabric of society.

In contrast, Cislaghi ( 2018 ) found that men in Senegal did not resist increased political participation of women. And a radio program in Afghanistan that addressed gender equality was found not to offend men’s cultural or religious beliefs, and ultimately succeeded in changing attitudes and behaviours towards women and girls (Sengupta et al., 2007 ). The outcome included changes in the community, such as giving permission to women to leave their home alone, to vote, to go to school, and to reject child marriage. While participants expressed increased empowerment (micro), they also acknowledged that they may have their rights, but can never make decisions pertaining to their rights (Sengupta et al., 2007 ). For example, women may have the right to vote (macro), but they cannot go to vote or decide who to vote for without male guardianship (meso). In that study, 15 h of civic education material was promoted by radio, focusing on peace, democracy, and women’s rights. At the community level, interviews and focus groups with participants revealed that there was no resistance to listening to the radio program from men or families. However, the Sengupta et al. study was not longitudinal and had a relatively small sample of 115 people (72.2% women), and the women in the study may not have been in a position that allowed them to admonish the men in their community.

It was found in one study that resistance and backlash can be ameliorated by including men and boys in the development and delivery of interventions (Sengupta et al., 2007 ). Behaviour change in men required an increase in empathy to achieve the aim of gender equality (Becker & Swim, 2011 ). Hadjipavlou ( 2006 ) and Vachhani and Pullen (2019) found that empathy was a viable alternative feminist strategy. In their qualitative study, Hwang and Wu ( 2019 ) in Taiwan found that trust-building between civil servants and advocates reduced resistance and hostility. Activists in this intervention used four strategies: (1) Giving praise and encouragement instead of criticism and blame; (2) Engaging civil servants on a personal level to create bonding; (3) Appeasing fears about being blamed by offering assistance; (4) Attempting to invoke their identification with the values of gender mainstreaming through informal educational efforts, all of which are mesolevel strategies.

Promoting Social Change to Reduce Gender Inequality

There was a wide array of types of change in different aspects of gender equality, with interventions varying in their success across settings and contexts. Table 2 summarises the types of change (e.g. legal, financial, behaviour, social) and the context (i.e., micro, meso, macro) that were identified and whether interventions aims were fully or partially achieved, or were not achieved, or had a harmful effect. Physical change, such as increased physical presence of women through inclusion or solidarity (meso) was the most consistently achieved beneficial outcome. Interventions targeting macrolevel social change, however, predominantly failed to achieve their aims or had harmful effects, reflecting how hard it is to realise social change, especially from a single, usually localised, intervention. Quotas could perhaps achieve their aim, although this finding was derived mostly from one good quality study (Johnson, 2019 ). The largest group of interventions were those implemented in education-based contexts, but these generally only partially achieved their aims, and focused mostly on physical changes (e.g., inclusion, solidarity). Most gender mainstreaming interventions did not achieved their aims.

Altogether, the findings confirm that social transformation is not automatic, easy, nor necessarily sustainable (Murphy-Graham, 2009 ). Furthermore, economic transformation is constrained if it is not supported by concurrent social transformation (Haase, 2012 ). One researcher, reporting a good quality meso-macro multi-method educational study in rural Bangladesh, claimed to have achieved social transformation (Sperandio, 2011 ). The appointment of women into roles that are traditionally occupied by men (in this case, teaching) led to widespread acceptance and normalisation of women in other non-traditional roles in a conservative village. Because the researcher did not interview or survey members of the community in which the intervention was evaluated, it is not clear whether broader social change was achieved.

It was found in several studies that dialogue was key to creating change in gender norms (Hwang & Wu, 2019 ; MacPhail et al., 2019 ; McGregor & Davies, 2019 ; Murphy-Graham, 2009 ; Sánchez-Hernández et al., 2018 ). However, Matich et al.’s ( 2019 ) qualitative study of the #freethenipple campaign and Boling’s ( 2020 ) study of the #ShePersisted campaign found that small steps bring about only small changes. For instance, in the #freethenipple campaign, women took control of how they were represented (microlevel) in order to challenge patriarchal gender norms (macrolevel). The authors noted that, despite good intentions, a hashtag cannot erase stereotyping. Pierotti et al. ( 2018 ) also found that small changes (micro) in quotidian tasks (e.g., participation in household chores) did not lead to substantive social change (macrolevel change). That is, while changes in tasks occurred with relative ease, social transformation through the cumulative effect of small steps towards egalitarianism did not occur.

In comparison, the qualitative study by McCarthy and Moon ( 2018 ) examined a women’s program in Ghana and found that changing everyday practices did matter, but becoming cognisant of the need for revolution led people to become overwhelmed and immune to change efforts. The researchers found that a key challenge in achieving social transformation was the need to bring about changes in daily interactions. For instance, one participant stated that if a person is not empowered at home, no matter how much money you give them, they are going to need more (McCarthy & Moon, 2018 ).

All genders need to participate to achieve a re-socialisation (Brinkman et al., 2011 ). Sengupta et al. ( 2007 ) concluded that their radio program would have alienated men if it had targeted only women. By including all genders, potential resistance to change can be neutralised (Devasia, 1998 ). In summary, social transformation is possible, but transformation is not likely to be universal or successful across all contexts (Sánchez-Hernández et al., 2018 ), particularly from any single monistic intervention. Holistic responses that take account of system thinking may create the change needed.

Overall, despite concerted effort, it seems that in the past thirty years we have not uncovered the keys to social change in order to enhance gender equality and non-discrimination against girls and women. Perhaps the reviewed interventions did not achieve macrolevel change because they did not simultaneously and explicitly address meso and micro change. Whilst CEDAW seeks the ‘elimination of all forms of discrimination’, achievement of that aim is far from complete, although it is not surprising that no single intervention could catalyse social change that achieves CEDAW’s objective. This review demonstrates that it will take time and a variety of endeavours to achieve gender equality.

To summarise the substantive lessons from this systematic review, we offer the following distillation as a summary of the findings to date. This distillation includes definitive statements that should be viewed only in the context of this review and may not generalise across all efforts towards gender equality in all societies.

What is Ineffective in Promoting Gender Equality

Small changes do not lead to big changes. Small concessions are granted to maintain peace, while big changes are often denied to maintain power.

Men and boys can feel the micro effects of fear, hostility, resentment, and jealousy when meso-macro gendered social norms are challenged.

Increased confidence, agency, empowerment, or individual leadership (micro) is not sufficient to promote the structural changes required to increase gender equality (macro).

A lack of change in mindsets (micro) and poor enforcement can mean that laws (macro) are not realised or have little effect at the community level (meso).

The overall focus on women ignores the real problem, and the need to engage with all members of society.

Education and awareness-raising may establish the right to education but do not necessarily create gender equality.

Raising awareness alone does not translate into behaviour change (meso to micro).

Transnational advocacy networks are not effective.

Protests in western democracies can have a polarising and backlash effect.

Gender mainstreaming efforts generally fail to achieve positive outcomes.

Economic transformation does not automatically lead to social transformation.

What is Effective in Promoting Gender Equality

Eliciting positive affect in interventions garners positive outcomes.

Empathy is a viable feminist strategy, although evidence is limited.

All genders need to participate in re-socialisation of gender norms.

Dialogue is a key to success.

A large number of women must behave differently for new behaviours to be accepted (micro to meso).

Experiential learning is a powerful way to embed knowledge about gender equity in a nonthreatening, lasting way.

Investment in access to justice must include informal channels of the justice system.

Social transformation can be achieved in households through daily interactions (meso to macro).

Enabling environments (macro) are more effective than individual empowerment (micro), but should include top-down and bottom-up approaches.

Quotas are effective.

Laws must be proactive as well as reactive or complaint based.

The contextual levels of analysis developed by Pettigrew ( 2021 ) has also been adapted from these lists into Fig. 3 . These distillations challenge our thinking about how to achieve gender equality and therefore require greater discussion amongst feminist activists, advocates, and the general population for ecological validation. The key findings of this review have implications for policy and practice because they call into question the type of change sought by feminist movements, the type of intervention used to achieve that change, and whether that intervention is likely to be effective in practice. Overall, this review gives pause for thought. We hope it will inform future decisions about how to achieve gender equality.

Contextual levels of analysis for this review, adapted from Pettigrew ( 2021 )

Strengths and Limitations

Our broad inclusion criteria identified relevant interventions across a range of political, economic, social and cultural contexts, published over a thirty year period. Consistent with the recommendations by Garritty et al. ( 2021 ) we used rapid review methods; this may have led to the omission of some eligible studies. However, the use of a machine learning approach by reviewer two to rapidly screen a sample of the records predicted to be most relevant helped to limit the omission of relevant studies. Moreover, our restriction of literature to 1990 onwards may have omitted some studies conducted since the adoption of CEDAW in 1979. Given that only one study was published from 1990–2000, however, it is unlikely that this restricted timeframe had a significant impact on the review. Excluding papers not published in English is a limitation, and may have led to the omission of studies in some settings. We urge those who have non-peer-reviewed evaluations to submit them to peer-reviewed journals for future inclusion in reviews like the present one. The results of the large number of studies included in the review are difficult to generalise given the heterogenous study methods, intervention designs, populations, and settings. Because of a lack of reflexivity in most qualitative and multi-method studies, it is impossible to discern (for example) whether research undertaken in the Global South was conducted by Global North researchers. Moreover, there was no evidence of the ethical conduct of 16 studies and two studies did not have ethics approval. Together, these limitations may indicate potential problems with informed consent and implicit racial or other biases, although none were explicitly identifiable. There was insufficient evidence to assess whether and how culture played a part in attempts to achieve gender equality. Furthermore, while 86 percent of interventions predominantly or partially achieved their aims, this may inflate the effectiveness of such interventions because of reporting biases that favour publication of positive results (Sengupta et al., 2007 ; Sperandio, 2011 ).

This review has taken stock of successes and failures in seeking to promote gender equality. The findings reveal that undue reliance has been placed on the presumed efficacy of awareness raising, and that the race to achieve gender parity has not yet catalysed the desired social transformation. Entrepreneur programs can be exploitative, and legal actions have had limited effects, potentially failing because of men’s feelings about change. This review has shown that men can be fearful, resentful, jealous, and angry towards acts that disrupt the status quo . Until we adequately address these emotions and biases, the change that women (and potentially all genders) want, and the equality we all need will not be realised. Social context and systems thinking have shown us the importance of holism when tackling systemic discrimination. In this context, to be fully human is to be emotionally fulfilled. Ergo , human rights will be realised when there is dignity, humanity and positive emotionality among genders. Only then is the promise of CEDAW likely to be fulfilled.

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Open Access funding enabled and organized by CAUL and its Member Institutions. MJG was supported by an Australian Research Council Discovery Early Career Research Award (DE170100726). MG was supported by a Monash University Research Training Program stipend.

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Guthridge, M., Kirkman, M., Penovic, T. et al. Promoting Gender Equality: A Systematic Review of Interventions. Soc Just Res 35 , 318–343 (2022). https://doi.org/10.1007/s11211-022-00398-z

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Addressing workplace gender inequality: Using the evidence to avoid common pitfalls

Michelle k. ryan.

1 Global Institute for Women's Leadership, The Australian National University, Canberra Australian Capital Territory, Australia

2 Faculty of Business and Economics, University of Groningen, Groningen The Netherlands

In this Landmark article I outline four common missteps that are made when designing and implementing workplace gender equality initiatives: (1) when we don't go beyond describing the numbers; (2) when we try to ‘fix’ women rather than fix systems; (3) when we are overly optimistic about the progress we have made; and (4) when we fail to recognise the intersectionality of the experiences that women face. I will briefly consider each of these missteps in term, presenting research that suggests alternative ways of approaching gender equality initiatives.

INTRODUCTION

Despite much progress in the past 50 years, workplace gender inequality remains a persistent problem. Worldwide, women only occupy about 37 per cent of leadership roles (World Economic Forum,  2022 ), the pay gap sits at approximately 20 per cent (International Labour Oragnisation, 2022 ), and women remain concentrated in low‐status, low‐paid jobs (UN Women,  2022 ). There are countless initiatives designed to address workplace gender equality—those that try to attract women to certain professions and roles where they are under‐represented, those that try to support women's career trajectories, and the those that try to retain women in the workforce. While the impetus behind these initiatives is generally positive, many of these interventions are not based on evidence, in terms of their design, their implementation or in the evaluation of their efficacy.

Most infamous in this space are those initiatives that build on an understanding that much gender discrimination (but certainly not all) is a result unconscious bias. The research most cited to underpin unconscious bias training is work on implicit prejudice and implicit associations (e.g. Devine,  1989 ; Greenwald et al.,  1998 ; Greenwald & Banaji,  1995 ). While there has been theoretical, methodological and psychometric debate about the utility of implicit tests such as the IAT (e.g. Blanton & Jaccard, 2006 ; Nosek & Sriram, 2007 ; see also Jost,  2019 ) what is of more interest here is the utility of unconscious bias training itself. While unconscious bias training is good at awareness raising, it is less effectual at achieving behaviour change or increased gender equality (e.g. Atewologun et al.,  2018 ; Bezrukova et al.,  2016 ; Kalev et al., 2006 ) and has been shown to have unintended negative consequences such as backfiring or feelings of false progress (e.g. Dover et al.,  2020 ; Leslie,  2019 ).

In my current role, as the Director of the Global Institute for Women's Leadership at The Australian National University, I have three key responsibilities (1) to conduct research to better understand gender inequality, (2) to work with organizations and government to translate the evidence base into effective policy and practice and (3) to advocate for social change and gender equality. It is at the nexus of these three endeavours that I can see where we get it right, and where we, unfortunately, get it wrong.

In this Landmark article I outline four common missteps that are made when designing and implementing workplace gender equality initiatives: (1) when we do not go beyond describing the numbers; (2) when we try to ‘fix’ women rather than fix systems; (3) when we are overly optimistic about the progress we have made; and (4) when we fail to recognize the intersectionality of the experiences that women face. I will briefly consider each of these missteps in term, presenting research that suggests alternative ways of approaching gender equality initiatives. 1

WHEN NUMBERS JUST AREN'T ENOUGH

One of the first steps in many gender equality action plans is to do an audit of the representation of women. How many women are in the organization? How many women are in decision‐making roles? How many women are there in senior management and on the boards of directors? This number crunching extends to describing other inequalities: How big is the gender pay gap? How many women were promoted in the last promotions round? What is the success rate of female job applicants? This approach is common in many internal organizational gender equality plans (Ely & Thomas,  2020 ), and as part of many external accreditation programmes (e.g. Rosser et al.,  2019 ). Understanding representation and understanding key metrics of gender equality are a necessary part of achieving gender equality—but they are not sufficient. Such numbers are a great starting point as they identify problem areas to be rectified. But they do not tell the whole story.

In this section, I will outline a body of research on women in leadership and the glass cliff (Haslam & Ryan,  2008 ; Ryan & Haslam,  2005 , 2007 ) that illustrates why we cannot just stop at descriptive numbers. This work suggests that it is not enough to know whether women are in leadership positions, but when they are in leadership positions. It also illustrates the importance of looking at women's experiences in such positions. And finally, it illustrates the importance of understanding the psychological processes behind the appointment of women to leadership positions.

This body of research builds on the metaphor of the glass ceiling, that describes the under‐representation of women in leadership positions, to examine the conditions under which women are likely to be appointed to leadership positions. Almost 20 years of research has demonstrated the phenomenon whereby women are more likely to be appointed to leadership roles during times of crisis (see Morgenroth et al.,  2020 , & Ryan et al.,  2016 , for meta‐analyses and an overview). With the extension of the glass ceiling metaphor—the glass cliff—we hoped to capture the riskiness and precarity of such leadership positions: to give a sense of occupying a position up on high, yet of teetering on the edge.

The phenomenon of the glass cliff was first uncovered as a reaction to a newspaper article in The Times (Judge, 2003 ). This article presented evidence that companies that had more women on their boards of directors, had poorer share prices, and thus the increasing number of women on UK corporate board was ‘wreaking havoc’ on corporate Britain (p. 21). In response, Ryan and Haslam ( 2005 ) proposed an alternative analysis, whereby rather than women causing poor company performance, it was poor company performance that led to women being appointed to boards of directors. We conducted nuanced analysis of board appointments and monthly changes in company share prices that showed that this alternative explanation was indeed the case—(the small number of) women who were appointed to boards of directs, were appointed after a prolonged period of poor share price performance. Share price afterwards did not differ from their male counterparts.

Since this first discovery of the phenomenon, a global body of research on the glass cliff has emerged, one that uses multiple methodologies (archival analyses, experimental studies, case studies, qualitative work) to demonstrate the nuance and underlying processes associated with the glass cliff phenomenon (Morgenroth et al.,  2020 ; Ryan et al.,  2016 ). The glass cliff is not restricted to corporate settings, and has also been found in (a) the political sphere (e.g. Kulich et al.,  2015 ; Ryan et al.,  2010 )—as illustrated by all three of the UK's female Prime ministers: Thatcher (1980s recession), May (Brexit) and Truss (energy crisis and spiralling inflation); (b) sporting contexts (e.g. Wicker et al.,  2019 ); and (c) in non‐government, third sector organizations (e.g., Bogacz‐Wojtanowska et al.,  2018 ).

The importance of the glass cliff here is that it points to the necessity of looking beyond simply the number of women in leadership positions, to understand the circumstances under which women are likely to be appointment to such positions. If we just take the proportion of women in leadership roles as a measure of gender equality, then glass cliff appointments may be seen as an example of progress towards gender equality. But in reality, the opposite may be the case.

The context in which the glass cliff occurs can lead to such positions representing a new and subtle form of sexism or gender discrimination. Such a poisoned chalice potentially sets women up for additional scrutiny, stress and risk of failure. Indeed, the very risk and precarity experienced by those in glass cliff positions may hinder progress towards gender equality. Women in glass cliff positions are likely to face greater challenges in their leadership roles, such as (a) being blamed for negative conditions that were set in train long before they were appointed (Ryan & Haslam,  2005 ), shorter tenure (Glass & Cook,  2016 ) or (c) stress and burnout (Ryan et al.,  2009 ). These additional difficulties may contribute to the stagnation of women's representation in leadership positions, reinforcing stereotypes that women are not suited to leadership.

The glass cliff is just one example where the complexity of gender equality might be hidden behind the top‐line numbers. Understanding the subtlety and nuance behind the numbers gives us a truer sense of our progress towards gender equality. We can think of these in terms of who, when, why and where questions. For example, who bears the brunt of gender inequality—we know that gender inequality is fundamentally intersectional, being exacerbated by other group memberships (see Section ‘ When we are overly optimistic ’, below). When and where does inequality occur. And the big question for us as psychologists, is the why —what are the processes sitting behind the numbers, what drives inequality, and in turn, what do we need to do to help mitigate it.

Exploring beyond the numbers can also help inform us of the most effective ways to attack those problems. In the case of the glass cliff, looking beyond the number of appointments raises a whole new set of research questions to be asked (and answered). Are women preferentially selected by others for leadership in times crisis (yes, according to Haslam & Ryan,  2008 )? Are women appointed because we think they are good at dealing with crisis (no, according to Kulich et al.,  2015 ; Ryan et al.,  2011 ). Do women select these positions because they like a challenge (also no, according to Rink et al.,  2012 )?

WHEN WE TRY TO FIX WOMEN

The question of whether women self‐select into glass cliff positions leads us nicely into our next misstep—the tendency to focus on women when trying to solve the problem of gender inequality. Many of the approaches to improving gender equality recognize that the issues arise from inequalities embedded in our social and organizational structures and systems. Key here are the traditional gender stereotypes about what women and men are like (Ellemers,  2018 ) and what they should be like (Heilman, 2012 ). In particular, many workplace inequalities arise because the societal view of women's warmth is incompatible with societal views of leadership and success that prioritize notions of agency and competence (e.g. Koenig et al.,  2011 ; Schein,  1973 ). Importantly our social and organizational structures and systems are predicated on these gender norms and stereotypes (Eagly et al.,  2000 ), including recruitment, promotion and reward practices; parental leave and childcare policies; and educational systems.

However, this acknowledgement of systemic basis of gender equality often dissipates when it comes to actually implementing interventions and initiatives. There is a relatively consistent underlying assumption within these initiatives that gender inequalities can be addressed with a focus on individual competencies. From this perspective, we can narrow the gender equality gaps by providing women with additional skills and training. For example, initiatives to encourage girls and women in science, technology, engineering and maths (STEM) are often focused on boosting their engagement and ambition (Liben & Coyle,  2014 ). Leadership training courses often focus on teaching women ‘girl boss’ leadership skills (Atir,  2022 ) and encouraging them to take greater risks and make bigger sacrifices, overcome impostor symptom, be authentic at work and negotiate the next promotion or pay rise (Hackworth et al.,  2018 ). This approach is epitomized by the ‘lean in’ approach to gender equality (Sandberg, 2013 ), which seeks to encourage women to make the right choices and have the right mindset.

All of these approaches have, as their implicit theory of change, an understanding that women are in some way broken and not up to the task. The solution is, therefore, seen to be to ‘fix’ them—to change their behaviours, address their skills deficit, remedy their mindset. But the evidence is very clear on this point—it is not women that need fixing, but the deeply entrenched systems of gender inequality that structure our organizations and structure society more broadly.

Below I outline some illustrative research that demonstrates that women's engagement and belonging, their feelings of impostor syndrome and their willingness to take risks are not individual‐level problems that renders them needing to be fixed. Rather, these issues are a direct product of organizational and societal systems, and their experiences in these systems and thus require structural solutions.

Engagement and belonging

One area in which this approach is highly visible is trying to attract and retain girls and women in male‐dominated sectors, such as STEM, finance and construction. Many of initiatives designed to increase gender inequality in these spaces focus on trying to increase girls' and women's interest for and engagement with these sectors (McKinnon,  2022 ), such as the heavily criticized campaign—Science: It's a Girl Thing—from the European Commission, which featured women in fashionable PPE making lipstick (Grosu, 2013 ). What is implicit here is that there is some sort of inherent lack of enthusiasm in women, that needs to be addressed, rather than the fact that women and girls are responding to very real cultural and normative barriers that exclude them (Saucerman & Vasquez,  2014 ).

In a series of studies looking at women in surgery—where women make up less than 25% per cent of the profession—Peters et al. ( 2012 ) examined whether the under‐representation of women may be explained, at least in part, by women's perceptions of, and experiences within, the profession. Across two studies we demonstrated that female surgical trainees perceived a lack of fit between themselves and the prototypical masculine surgeon. In turn, this perceived lack of fit was associated with a reduction in identification with the profession and an increased desire to opt out of the profession.

Similarly, work by Meeussen et al. ( 2022 ) demonstrate than in male‐dominated careers, such as surgery and the veterinary profession, women (compared to men) report less career engagement because of their more frequent experiences of gender discrimination and lower perceived fit with those higher up the career ladder. In turn, these barriers predicted reduced expectations of success in their field and expected success of their sacrifices, which in turn predicted lower willingness to make sacrifices.

Together, these studies suggest the role that external barriers, such as experiences of discrimination and perceptions of fit, play in women's career decision making in male‐dominated professions. Thus, trying to attract and retain women in these spaces by focusing on women themselves is unlikely to be fruitful. Rather, interventions need to address the root of the problem, discriminatory environments and a lack of role models if they want women to come and women to stay (see Casad et al.,  2018 ).

Imposter syndrome

Another area in which has received a lot of attention when it comes to women in the workplace are initiatives that seek to address impostor syndrome. This concept is used to describe individuals who express doubts about their self‐worth, failing to take credit for their successes or attributing their successes to luck. Such individuals worry that others will see them as impostors or frauds. The very use of the term ‘syndrome’ suggests that this experience is an individual‐level problem—a condition that requires diagnosis and treatment and fixing. And indeed, there will be no surprise to find out that there are many initiatives out there that are designed to help individuals, and in particular women, to overcome ‘their’ impostor syndrome. For example, such interventions seek to increase women's confidence, reduce their perfectionism and change their mindsets (Chandra et al.,  2019 ).

However, as Feenstra et al. ( 2020 ) argue, rather than being seen as a personal problem that plagues individual women, it is critical to acknowledge the role that the social and organizational context plays in eliciting feelings of impostorism (see also Kark et al.,  2022 ). Indeed, a series of studies by Begeny et al. ( 2022 ) demonstrate that impostor feelings can be seen as is a direct response to how one is treated by others. In a longitudinal study, we showed that that experiencing fewer expressions of distinctive treatment, such as being asked for advice, resulted in a significant increase in impostor feelings over time. Moreover, in experimental studies we showed that when individuals experience positive distinctive treatment from work colleagues, this significantly reduces impostor feelings.

In this way, characterizing impostor feelings at an individual level is unlikely to be useful, both in terms of running the risk of pathologizing these feelings and in terms of understanding where they come from. Thinking of impostor feelings as a context‐dependent outcome of workplace experiences has clear implications for how we ‘treat’ impostor syndrome. Rather than putting the onus on employees, particularly women, to overcome their own impostor feelings—being more confident and ‘faking it until you make it’—we need to implement more systemic approaches, creating cultures where colleagues are valued and treated with respect.

Risk taking

One common explanation for the persistence of workplace gender inequalities is that women are less willing to take career‐enhancing risks, such as asking for a pay rise or taking on a new position (Byrnes et al.,  1999 ). Indeed, women's risk aversion is a persistent aspect of gender stereotypes, with many arguing that this is an innate difference aspect of gender (Bem, 1974 ). Such an analysis has a number of issues, including the assumption that risk taking is inherent desirable and necessarily career enhancing, and because it fails to recognize the types of risks that women do take in everyday life (Morgenroth et al.,  2018 ). But nonetheless, a key facet of the lean in approach to fixing women is encouraging women to take more risks, including memetic advice such as ‘if you are offered a seat on a rocket ship, do not ask what seat, just get on’ and ‘fortune does favour the bold, and you never know what you are capable of if you do not try’ (Sandberg, 2013 ).

However, research demonstrates that far from being innate, women's willingness to take risks is dependent of their experiences in the workplace. Research conducted by Morgenroth et al. ( 2022 ) looks at gender differences in risk taking through a lens of the anticipated and experienced consequences of risk taking. Across three studies, there was no evidence for gender differences in initial risk taking or in the anticipation of consequences for the risks with which women and men had no prior experience. However, when we looked at actual experiences of risk taking in the workplace—such as taking on a difficult task, speaking up or quitting your job for a new job—men reported more positive consequences for taking risks than women, and as a result, anticipated having a greater likelihood of taking the same risks in the future.

Studies like this question the assumption that it is women's innate risk aversion that underlies workplace gender inequalities. Rather they demonstrate that any aversions women have are likely to be a consequence of their workplace experiences, and indeed, are likely to be informed by the gendered, negative experiences they have when attempting to take risks. For this reason, gender equality initiatives that focus on encouraging women to take more risks are unlikely to succeed, and it is the gendered costs and benefits for risk that need to be addressed.

Taken together, this exploration of some of the common ways in which initiatives target gender equality issues—engagement, impostor syndrome and risk taking—suggest that framing these as individual‐level problems is unlikely to be fruitful. At best, such an approach may provide those individual women who are targeted by such initiatives, usually women that hold a certain amount of privilege (see Section 4) with a short‐term advantage. At worst, such attempts to fix women reinforce the stereotypes and norms that form the basis of structural gender inequalities and become yet another demand on women's time. Interventions should, instead, target the foundational causes of inequality: organizational systems and culture.

WHEN WE ARE OVERLY OPTIMISTIC

If we compare where we are now on the workplace gender equality front, compared to where we have been historically, it is clear that there have been many positive changes—better gender representation, safer working conditions and more equality in terms of pay. But such changes are not linear, and neither are they inevitable. Indeed, over more recent time periods we have seen stagnation in these advances, in in some cases even backsliding (Word Economic Forus,  2022 ). Indeed, current forecasts suggest it will be at anywhere between 132 (Word Economic Forus,  2022 ) and 300 (UN Women,  2022 ) years before we reach global gender equality.

Part of the tension here lies in the degree to which we recognize and celebrate our gender equality accomplishments, and to what extent are we realistic about how much we still have to achieve. This decision is not just about whether or not one wants to be an optimistic person. An understanding of the degree to which gender inequalities persist, and in particular the denial of gender inequality, forms a key aspect of sexist attitudes, such as those captured by the modern sexism scale (Swim et al., 1995 ). Indeed, there are a number of very real consequences of failing to acknowledge the persistence of gender inequality.

Begeny et al. ( 2020 ) looked at what happens when traditionally male‐occupied professions, such as the veterinary profession, attract more women. While having a greater representation of women is clearly progress, some may take it as an indication that the discrimination is no longer a problem. We demonstrated that despite women being the majority of veterinary students and junior vets, female vets still report experiencing discrimination. In a follow‐up experimental study, we illustrated one way in which this discrimination manifests itself. Vets with managerial responsibilities evaluated a male vet as more competent and suggested paying him 8 per cent more than an equally qualified female vet. Key here, these discriminatory evaluations were evident primarily among those who believed women no longer face discrimination in the profession. Thus, even when positive change occurs, discrimination persists, ironically perpetuated by those who believe it is no longer a problem.

Research also demonstrates that progress towards gender equality may be hampered by those who overestimate the rate of progress. A study by Begeny et al. ( 2022 ) surveyed doctors in the United Kingdom who were asked to estimate the representation of women across a number of roles in the medical profession. Both male and female doctors consistently overestimated the number of women in medicine. However, while those women who over‐estimated female representation still supported gender‐equality initiatives, such as initiatives run by the Royal College of Surgeons and the General Medical Council, those men who were over‐optimistic about progress showed significantly lower levels of support. Thus, men who overestimated progress towards gender equality were at highest risk of undermining it (see also Coffé & Reiser, 2021 ).

Recognizing and celebrating progress towards gender equality is important for a sense of hope and collective efficacy, both necessary for continued motivation for change (e.g. Cohen‐Chen & Van Zomeren,  2018 ; Van Zomeren,  2013 ). However, studies like these suggest that there is potentially a fine line between optimism and a failure to recognize persistent inequalities. If we are to close the gap, and it would be nice if we could do so in less than a century, we need a healthy dose of realism and we need to acknowledge what still remains to be done.

WHEN WE AREN'T INTERSECTIONAL

A final common misstep that is taken when trying to address gender inequalities is to treat women as if they are a monolithic, homogenous group. There is often a ‘one size fits all’ approach to interventions and change (Tzanakou,  2019 ). But the experiences within women—between individuals and between different groups of women—are often more varied than the experiences between women and men. There is a need to understand this variety in women's experiences, and how this is determined by other intersecting identities, especially those that are marginalized or stigmatized (e.g. Crenshaw,  1991 ).

What is most troublesome about the one size fits all approach, is that gender interventions and initiatives are most often based on the experiences of the dominant group—such as those women who are white, middle‐class or straight. This is problematic, both because the experiences of such women are by no means universal, and because women not included in this group—for example culturally and linguistically diverse women, working‐class women, and LGBTQI+ women and gender diverse people, often face the greatest inequalities.

For example, research by Opara et al. ( 2020 ) identified that Black and minoritized women's workplaces experienced were very much influenced by their racial identities, including having stereotypes and expectations imposed upon them. Indeed, research demonstrates that Black women are treated on the basis of negative stereotypes that question their competence and their legitimacy (e.g. Williams & Dempsey,  2014 ) or see them as aggressive and masculine (Hall et al.,  2019 ). In contrast, Asian women may be affected by the model minority myth (Cheng et al.,  2017 ) and be seen as hyper‐competent (Liang & Peters‐Hawkins,  2017 ), but at the same time face stereotypes of low agency (Ghavami & Peplau,  2013 ) and hyper‐femininity (Mukkamala & Suyemoto,  2018 ).

These differential experiences mean that homogenous workplace gender equality initiatives are unlikely to be effective. Indeed, Wong et al. ( 2022 ) argue that diversity interventions tend not to take into account the wide variety of women's experiences. Across three studies we demonstrate that women who are racially marginalized need different things from their diversity interventions than do White women. More specifically we found that while White women focused on the needs of initiatives address issues of women's agency, Black women overtly reported the need for initiatives to take into account intersectional differences, such as racialized gender stereotypes where Black women are seen as pushy or overly assertive. Similarly, Asian women reported the need to address challenges to their authority which stem from racialized stereotypes of Asian women as passive and submissive. Importantly, our textual analysis of gender equality websites showed that organizations were less likely to represent the needs of Black and Asian women—a form of intersectional invisibility (Purdie‐Vaughns & Eibach,  2008 )—such that their gender equality advocacy tended to focus on (White women's) issues of agency, rather than issues of racialized stereotyping reported by Black and Asian women.

These findings suggest that if gender equality initiatives are going to be successful, they must take into account the wide variety of women's experiences and needs. Catering for just one group of women is unhelpful, particularly if that group of women as a whole are likely to experience less disadvantage. Interventions need to overtly address the issues faced by all women, not just those in the majority or those with the most privilege. This points to the importance of understanding the intersectional nature of gender inequality—taking into account that these inequalities are exacerbated and qualified by multiple forms of oppression, such as those based on race, ethnicity, class, sexuality, disability, age and linguistic diversity.

CONCLUSIONS

While the majority of gender equality initiatives are founded on good intentions, this in and of itself is not enough to bring about significant and lasting change. As we have seen above, interventions need to be based on a clear evidence base, one that (1) looks beyond the top line numbers to the complexity and nuance of gender inequality; (2) aims to fix the things that actually needs fixing (systems and structures) rather than trying to fix women; (3) celebrates change while at the same time being realistic about the challenges that are to come; and (4) understands the inherently intersectional nature of gender inequality.

The good news is that social psychology is perfectly situated to rise to all of these challenges. First, we are well placed to understand the processes and contexts that sit behind the top line numbers. For example, as we have seen, social psychological theories can help us understanding the gendered stereotypes than underlie our social and organizational policies and practices (e.g. Eagly et al.,  2000 ; Ellemers,  2018 ; Heilman, 2012 ; Koenig et al.,  2011 ). They can also help us understanding how workplace experiences can affect gendered workplace choices (e.g. Begeny et al.,  2022 ; Meeussen et al.,  2022 ; Morgenroth et al.,  2022 ).

Second, within our theories we have the ability to ensure we are asking the appropriate questions and that we are framing our questions at the right level of analysis—at the level of the individual, the group or at a societal level—and an understanding that the individual level is not always the most appropriate. For example, the social identity approach (Tajfel & Turner,  1979 ; Turner et al.,  1987 ) provides a clear framework to examine how our group memberships, and the contexts in which we are embedded, may impact upon our attitudes and behaviours, particularly at work (Haslam,  2004 ).

Third, through concepts like modern sexism (Swim et al., 1995 ), social psychology can provide an understanding of the perniciousness of the denial of sexism and the subsequent outcomes, such as continued gender discrimination and a lack of support for gender equality initiatives (see Begeny et al.,  2020 , 2022 ). This is particularly important as such views provide a strong basis to the backlash that is levelled against gender equality initiatives (Flood et al.,  2021 ). Indeed, more recent theories of sexism, such as the belief in sexism shift (Zehnter et al., 2021 ), indicate that there are increasingly prevalent views that men are now the key victims of sexism (Ryan & Zehnter,  2022 ), a view that is likely to exacerbate resistance to change.

Finally, while not yet an integrated part of social psychology, there are some excellent examples of how to make our research more intersectional (Bowleg,  2017 ; Cole,  2009 ; Rosenthal,  2016 ). This intersectionality can be implemented in terms of the types of research questions we ask and the make‐up of our samples (Purdie‐Vaughns & Eibach,  2008 ; Remedios & Snyder,  2015 ) and even the way we do open science (Sabik et al.,  2021 ). Importantly, while much of the intersectional advances have been made at the intersection of gender and race; there is still much to be done in acknowledging other intersectional identities, such as those based on age, class, disability and sexuality.

Taken together, while the evidence shows us that there have clearly been missteps on the way, the evidence also demonstrates that social psychology is in an excellent position to play an important role as we stride forward towards gender equality.

CONFLICTS OF INTEREST

All authors declare no conflict of interest.

ACKNOWLEDGEMENTS

Landmark articles are, by tradition, single authored papers, but of course the work that is discussed in the paper could only have been conducted in collaboration. Thanks to all my terrific colleagues with whom I've had the pleasure to work with, in particular to Thekla Morgenroth, Chris Begeny, Alex Haslam and Kim Peters whose work contributed significantly to the ideas in this paper. This paper was supported in part by a European Research Council consolidator Grant (725128).

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1 This Landmark Article builds on a short opinion piece I wrote for Nature: Ryan ( 2022 )

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• Previous Article

This paper identifies five key issues that are important for the continued efforts to tackle gender inequality: (i) gender inequality needs to be distinguished from gender gaps. Not all gender gaps necessarily reflect gender inequality as some gender gaps are not driven by the lack of equal rights, responsibilities and opportunities bywomen and girls, and this has important implications on policy designs to address gender inequity. However, the literature has paid little attention to this issue, often using gender inequality and gender gaps interchangeably; (ii) the evolving focus of gender inequality suggests there is still a long way to go to fully address gender inequality. Particularly gender inequality is taking more subtle and implicit forms, though the social and economic benefits from addressing the remaininggender inequality is still likely to be substantial; (iii) addressing gender inequality benefits everyone, not just women. Thus, the entire society should work together, even for each individual’s own interest; (iv) both general policies and targeted gender policies can help address gender inequality.However, as gender inequality becomes more subtle and implicit, targeted gender policies will likely need to play an increasing role, which also makes separating gender inequality from gender gaps all that more important; and (v) addressing gender inequality does not need to start with policies targeted at its root causes, but needs to end with eliminating the root causes. Only then, any remaining gender gaps would only reflect preference and comparative advantage between men and women. The paper concludes by discussing gaps in the literature and policy challenges going forward.

• I. Introduction

Gender gaps have been observed in a broad range of social and economic dimensions and well-documented in the literature. Here gender gaps refer to the observed differences between men and women or between boys and girls in the relevant indicators. For example:

Gender gaps in nutritional intake have been often reported as a result of intra household allocation of resources in South Asia, with also evidence in sub-Sahara Africa ( Pal, 1999 ; World Bank, 2006 ; Hadley and others, 2007 ; Dasgupta, 2016 ; Hafeez and Quintana-Domeque, 2018 ).

In developing countries, while gender gaps in school enrollment have been narrowing rapidly over the recent decades, particularly for preprimary, primary and secondary education, considerable gaps still remain for tertiary education and there are large variations across countries ( Demery and Gaddis, 2009 ; Duflo, 2012 ; Austen and others, 2013 ; Evans and others, 2021 ). Furthermore, significant differences exist in the field of study between male and female students, likely in nearly all countries but with most evidence from advanced economies ( OECD, 2017 ; Cook and others, 2021 ).

Empirical studies, based on subjective self-reporting of unmet healthcare needs, find that women are more likely to report healthcare access related issues (Socías and others, 2016; Daher and others, 2021 ).

Access to formal financial services is generally lower for women than for men. Over time, access to financial services has increased worldwide, but significant gaps remain by gender, and both saving and borrowing services are more accessible to men than to women ( Demirgüç-Kunt and others, 2015 ; Sahay and others, 2020 ).

Differences between male and female labor force participation rates have narrowed, but the gaps remain high in most of the world, with large variations across regions and countries ( Field and others, 2010 ; Alesina and others, 2013 ; Bernhardt and others, 2018 ; Jayachandran, 2021 ). Even when women participate in the labor market, they tend to be overrepresented in certain sectors, often characterized by low status and low pay ( OECD, 2012 ; ILO, 2012 ). Particularly, women are strongly under-represented in corporate managerial positions and political leadership ( Profeta and others, 2014 ; OECD, 2017 ). Even for the same jobs and with similar qualifications, women tend to be paid less ( OECD, 2012 ; OECD, 2017 ; NSF, 2021 ).

Women are subject to more violence at home, in commuting, and at work ( Jayachandran, 2021 ). In addition, legal barriers to women’s rights and opportunities remain pervasive. Women on average have only three-quarters of the legal protections given to men during their working life, ranging from bans on entering some jobs to a lack of equal pay or freedom from sexual harassment ( World Bank, 2021 ).

Many research and policy work often equates gender gaps with gender inequality without clearly defining them. According to UN Women ,

“ Equality between women and men (gender equality) refers to the equal rights, responsibilities and opportunities of women and men and girls and boys. Equality does not mean that women and men will become the same but that women’s and men’s rights, responsibilities and opportunities will not depend on whether they are born male or female. Gender equality implies that the interests, needs and priorities of both women and men are taken into consideration, recognizing the diversity of different groups of women and men. ”

This suggests that not all gender gaps necessarily reflect gender inequality, as defined above. This has important policy implications, that is, policies should focus on eliminating gender inequality, not on achieving an equal gender share or fully closing all gender gaps.

The urgency to address gender inequality stems from its substantial social and economic consequences. First and foremost, gender inequality is a matter of fairness and concerning the wellbeing of women. 1 For example, some gender inequality reflects direct harmful actions against women —such as violence, harassment, and the resulting fear—or restrictions on women’s behaviors, legal or social. More generally, as gender inequality is the result of gender bias and social norms that restrict women’s rights and opportunities, it leads to lower welfare for women. Furthermore, as women account for half of the population, gender inequality means potentially a substantial misallocation of human capital, including both investment in women and utilization of women talent. A growing body of literature shows that reducing gender inequality can help foster better household decision-making, improve firm/institution performance, and generate substantial macroeconomic benefits, through boosting productivity and economic growth, strengthening macroeconomic and financial stability, and lowering income inequality ( Kochhar and others, 2017 ; Sahay and others, 2018 ; Cihák and Sahay, 2020 ; Gonzales and others, 2015 b).

There is clear evidence that gender inequality narrows as countries develop and new technologies, such as labor-saving household appliances, are being developed and widely adopted ( Jayachandran, 2015 ; Tewari and Wang, 2021 ). However, the interrelationships between women empowerment and economic development are probably too weak to be self-sustaining, and because of the social and economic significance of gender inequality, policy actions are needed to speed up the process ( Duflo, 2012 ). For example, around 82 percent of 40-year-old inventors are men, and while this gender gap in innovation is shrinking gradually, at the current rate of convergence, it will take another 118 years to reach gender parity ( Bell and others, 2019 ).

One of the United Nation’s Sustainable Development Goals (SDGs) is to achieve gender equality and empower all women and girls. 2 Many efforts have been taken over the past decades, particularly after the establishment of the SDGs in 2015, to tackle gender inequality. For example, public investment in education has nearly erased the gender gaps in primary and secondary school enrollment; legislative reforms have led to reductions in discrimination; countries have enacted reforms to boost women’s economic opportunities; countries have enacted laws or introduced policies to end child and early marriage, provide paternity and parental leave, reduce the gender wage gap, address violence against women including sexual harassment, and promote women in leadership ( World Bank, 2021 ; OECD, 2014 ; OECD, 2017 ). 3

While globally important progress has been made in some areas (e.g., enrollment in primary and secondary education), substantial gender inequality still remains in many other areas (e.g., enrollment in tertiary education, labor force participation, wages, and leadership positions). Furthermore, the COVID-19 pandemic has disproportionately affected women, further exacerbating pre-existing gender inequality, for example, as women shouldered more burden in taking care of young children when schools were closed ( Albanesi and Kim, 2021 ; Bluedorn and others 2021 ; Fabrizio and others, 2021 ; WEF, 2021 ).

Thus, much work still lies ahead to achieve gender equality, with some forms of gender inequality still existing in nearly all countries and often in relation to the SDGs. As countries seek to step up their efforts to address gender inequality, many questions remain for policymakers. This includes: (i) what are the main forms of gender inequality for countries at different stages of development? (ii) what are the economic benefits from continued efforts to reduce gender inequality, are the benefits diminishing as some gender inequality is being eliminated, and who would benefit from lower gender inequality? (iii) What policies are most effective in addressing gender inequality, what are the tradeoffs of adopting different types of policies, and are some of the policies more about ticking a box rather than making a real difference? And (iv) what are the roles of different types of policies at eliminating gender inequality, given the root causes of gender inequality is often social and cultural?

The literature on the economic impacts of gender inequality and the policies to address gender inequality has been growing rapidly over the recent decades. In addition, many countries have adopted policies to tackle gender inequality for many years, and there is a lot to learn from their experiences. This paper intends to draw on the vast literature—which tends to focus on specific aspects of gender inequality and policies —and the diverse country experiences to provide a holistic view of gender inequality and shed light on some of the key policy questions that can help countries approach gender issues in a more systematic manner. More specifically, the paper identifies five key lessons:

Gender inequality versus gender gaps . Gender inequality differs from gender gaps in important ways, and this has important policy implications. However, the literature often equates gender inequality with gender gaps and use them interchangeably. This paper defines gender gaps as the observed differences between men and women or between boys and girls in the various social and economic indicators, and gender inequality refers to the part of gender gaps that are driven by gender bias and unequal gender rights and opportunities. The rest of the gaps are driven by preference/comparative advantage between men and women. Therefore, policies should be targeted at reducing gender inequality, which does not necessarily mean to fully close all gender gaps.

The evolving focus of gender inequality . Gender inequality extends to nearly every dimension of social and economic activities. The policy focus often varies by country, depending on their circumstances and level of development. There appears to be a shift toward more subtle and implicit forms of gender inequality, as gender reforms deepen, for example, from school enrollment to quality of education and field of study and from labor force participation to distribution of employment across sector s and pay. However, this does not mean that the social and economic impacts of the remaining gender inequality are smaller. In fact, the literature has shown that they could have substantial economic consequences. Furthermore, for countries that are still at the early stage of addressing gender inequality, this suggests that they should learn from the experiences of other countries, and it may be more effective and efficient to tackle different forms of gender inequality simultaneously. For example, countries could consider policy measures to simultaneously address gender inequality in tertiary enrollment and field of study, rather than tackling gender imbalances in field of study only after gender inequality in enrollment is eliminated.

The benefits of reducing gender inequality go beyond women . Gender equality may be seen by some as a zero-sum game, from an economic point of view. Less unpaid work at home and higher labor force participation by women would mean more unpaid work at home and lower labor force participation for men. Better representation at leadership positions by women would mean less for men. It is, however, important to recognize that better gender equality benefits not just women, but it enlarges the economic pie and benefits everyone, through several potential channels: (i) women tend to make better decisions regarding children; (ii) gender-mixed teams are more productive; and (iii) lower gender inequality can bring important macroeconomic benefits to everyone, with stronger economic growth and financial stability, more jobs, and less income inequality.

Policies and their designs matter . Large variations in gender gaps among countries with a similar level of development and in the same region suggest that policy interventions and their designs can make a difference, and this is further illustrated with an econometric analysis of gender laws and regulations and selected gender gaps. In addition, the literature provides strong evidence that a broad range of policy reforms can help reduce gender inequality and ultimately improve social and economic outcomes. However, not all policy interventions work under all circumstances, and policy tradeoffs are often involved. The paper compares general policies and targeted gender policies and discusses some considerations in their designs and implementation.

Policy actions do not have to start with those targeted at the root causes . While gender inequality shows many symptoms, the root causes are typically traced to gender bias and social norms. Ideally, reforms should be directly targeted at the root causes. However, this appears difficult with limited policy options (e.g., educational programs, information campaign, and legal reforms to ensure women’s rights and opportunities), and it takes time to change people’s views and beliefs. Instead, policies have focused on reducing gender inequality in different areas such as education, labor market, and financial access. Not only do these policies have immediate impacts on gender inequality, but they could also help change social norms. While policies may not need to start with the root causes of gender inequality, fully eliminating gender inequality requires eventually addressing the root causes.

The rest of the paper is organized as follows. Section II to VI in turn take on the five key lessons discussed above. Section VII concludes with a discussion on the gaps in the literature and on some considerations in addressing gender inequality going forward.

• II. Gender gaps and gender inequality: definitions and drivers

Gender gaps are defined here as the observed differences between men and women or between boys and girls in the various social and economic indicators. Gender gaps can be considered to consist of two components, one that is caused by unequal rights, responsibilities, and opportunities for women and girls 4 and the other that is driven by women’s preference 5 or comparative advantage between men and women. 6 The former is what is defined in this paper as gender inequality, and the latter is the result of efficient allocation of human capital. For example, for school enrollment in primary and secondary education, it would be expected that most, if not all, of the gender gaps reflect gender inequality. For tertiary education in advanced economies, female enrollment rate is about 25 percent higher than that of male ( Figure 1 ). This gap, however, would not be expected to reflect gender inequality, that is, boys are facing less rights and opportunities. Instead, this likely reflects preference and choices (e.g., girls have comparative advantage in brain-based sectors and the returns to education are higher in such sectors ( Pitt and others, 2012 )). On the other hand, males represent a very small share of employment in registered nurses, some of which may indeed reflect social norms that hinder male’s entry into this profession. 7

Distinguishing between gender gaps and gender inequality has important policy implications. For the part of gender gaps that reflect preference/comparative advantage between men and women, there would be no need for policy intervention as there is no welfare loss from such gaps. For example, in many advanced economies where female tertiary enrollment rate is higher than that of male, there appears no need for policy interventions to further increase male tertiary enrollment rate to close the gap. On the other hand, there is a clear need to address gender inequality as it hurts women’s wellbeing, leads to distortions, and reduces overall social welfare. In many developing economies where female tertiary enrollment rate is lower than that of male due to gender bias, if it is left unaddressed, there would be an underutilization of women’s talent. Recognizing the difficulties often in separating gender inequality from gender gaps, Section V discusses some implications on policy designs.

Better understanding the drivers of gender inequality and gender gaps helps formulate effective policies. Both the theoretical and empirical literature offers evidence on the main drivers of gender gaps and gender inequality, particularly in the context of economic development:

Comparative advantage improves for women as countries develop. Women have a comparative advantage in mentally intensive tasks while men in physical intensive tasks; the process of development entails a growing capital stock and thus reduces the female-male wage gap, which in turn causes female labor force participation to increase ( Galor and Weil, 1996 ). 8 As brain-based sectors grow, if the returns to education are higher in brain-based than in brawn-based occupations, girls’ schooling could overtake that of boys ( Pitt and others, 2012 ). Gender differences in labor productivity as a driver of gender gaps are also supported by empirical evidence ( Qian, 2008 ; Alesina and others, 2013 ; Carranza; 2014 ). This strand of literature highlights the mechanism through which gender gaps narrow as countries develop, by largely reducing the part of gender gaps that reflect preference/comparative advantage between men and women.

Economic development is associated with better physical infrastructure and more advanced technology, making home production more efficient and less labor intensive. Because women perform the lion’s share of household chores, advances in home production technologies mainly free up women’s time and lead to an increase in female labor force participation ( Greenwood and others, 2005 ; Dinkelman, 2011 ; Tewari and Wang, 2021 ). As women performing much home production likely reflects both preference/comparative advantage between men and women and gender bias/social norms, better physical infrastructure and more advanced technology help reduce both components of gender gaps. 9

Gender bias and cultural barriers to women’s rights and opportunities are major drivers of gender gaps ( Jayachandran, 2015 ; Jayachandran, 2021 ; Alesina and others, 2013 ; Bernhardt and others, 2018 ). For example, Fernandez and Fogli (2009) show that whether a female second-generation immigrant in the United States works is strongly influenced by the female employment and fertility norms in her ancestral homeland. One form of barriers is the lack of basic legal rights, preventing women from joining the formal labor market or becoming entrepreneurs in many countries. Women are sometimes legally restricted from heading a household, pursuing a profession, or owning or inheriting assets. Such legal restrictions significantly hamper female labor force participation and pose a drag on female entrepreneurship (World Bank, 2015). Limiting gender bias and cultural barriers helps close gender gaps through reducing gender inequality.

Figure 1 illustrates conceptually the interrelationship between gender gaps, gender inequality, their drivers, and policy interventions to address them:

The root causes of gender inequality are gender bias and social norms that restrict women’s rights and opportunities, which, together with preference /comparative advantage between men and women, are the root drivers of gender gaps.

Gender bias/social norms and preference/comparative advantage between men and women interact with other factors (e.g., development, technological advances, and public policies) in determining gender gaps and gender inequality in different areas such as education, labor market and financial access. In other words, the root causes of gender inequality are gender bias and social norms; gender inequality in different areas are just symptoms of the root causes. This means that while some policies can help reduce gender inequality in some of these areas, fully addressing gender inequality would require the elimination of the root causes, gender bias/social norms.

As discussed above, development, technological advances, and public policies can affect gender bias/social norms and preference/comparative advantage between men and women.

Furthermore, interventions to lower gender inequality in different areas could also in turn alter gender bias/social norms. For example, as women become more educated and more women participate in the labor market, attitude toward women’s education and work may start to shift (see section VI for additional discussions).

Gender inequality, gender gaps and their causes

Citation: IMF Working Papers 2022, 232; 10.5089/9798400224843.001.A001

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III. The evolving focus of gender inequality: still a long way to go

Progress on gender equality has continually been made and differs substantially by country, particularly in relation to their stage of development. Consequently, the focus of gender inequality also varies by country and continue to evolve as some gender gaps are closed while others emerge and attract the attention of the public and policymakers. In general, the focus of gender inequality is shifting from gender gaps that are more explicit and visible to the public and policymakers to those that are more subtle and implicit. Given that gender inequality exists in broad areas, this section focuses on education, labor market, financial access, and legal barriers, as examples.

• A. Education

The focus of gender inequality in education appears to be shifting from access to education (e.g., school enrollment) to quality of education and field of study.

For emerging and developing economies as a group, the gender gaps in access to preprimary, primary and secondary education are being closed, though some countries are still lagging behind; however, there are still gaps for tertiary education ( Appendix Figure 1a-1d ). As a result, many emerging and developing economies are still trying to achieve gender equality in access to education, particularly for tertiary education ( Demery and Gaddis, 2009 ; Duflo, 2012 ; Austen and others, 2013 ; Evans and others, 2021 ).

Advanced economies, instead, have been focusing on gender equality in quality of education, including gender distribution by field of study, as they have largely achieved gender equality in access to preprimary, primary and secondary education decades ago and to tertiary education since mid-2000s. For example, across the OECD, boys outperformed girls in mathematics by an average of eight points in 2015 —equivalent to around one-fifth of a year of schooling—and by 5 points in 2018; on the other hand, girls significantly outperform boys in reading in all countries and economies that participated in PISA 2018 ( OECD, 2017 ; OECD, 2019 ).

One area that has received increasing attention is the large differences in field of study between boys and girls, with girls particularly underrepresented in the fields of science and engineering and overrepresented in social science related fields ( Appendix Figure 2 ). The distributions are remarkably similar between more developed economies and the rest of the world, indicating that this is an issue common for all economies ( Appendix Figure 2a shows the global distribution and Appendix Figure 2b shows the distribution for OECD countries during a similar period). For example, college-educated women in the United States have sorted into majors that systematically lower their potential wages relative to men; to what extent women choose a major in anticipation of future family demands, based on individual preferences, under the burden of restrictive social norms, or for any other reason remains an unanswered question ( Sloane and others, 2021 ).

Women appear to be particularly under-represented in science, technology, engineering, and math (STEM). In the United State, in 1970, only 9 percent of all doctorates in the science and engineering fields, including social sciences, were awarded to women; by 2018, that share was nearly 47 percent. A closer look indicates that a large part of this is driven by high shares of women in psychology and social sciences. Despite the progress, persistent barriers to women pursuing degrees in STEM fields abound (Cook and others, 20 21).

• B. Labor market

When it comes to the labor market, while efforts are continued to reduce gender inequality in labor force participation, narrow the gender wage gap, and boost the representation of women in political leadership, increasing attention is given to the large gaps in the sectoral distribution of female and male employment, women’s role in innovation, and women’s share in corporate management positions.

The differences between male and female labor force participation rates remain high, although the gaps have been narrowing over the past decades ( Appendix Figure 3a ). The gaps are smaller and also closing more rapidly in advanced economies. The gender gaps in emerging economies, in fact, have widened over the past two decade, and this is almost entirely driven by the declining female labor force participation in China and India. In China, the likely underlying factors include structural changes in the Chinese economy where households can afford to have only one wage earner, reduction in state childcare support, and rising gender-biased hiring practices; in India, the decline may reflect the declining employment in agriculture, safety concerns and the lack of transportation infrastructure for women to join the urban labor force , and the U-shaped relationship between education and labor force participation as education level improves for women ( Li, 2019 ; Zhang and Huang, 2020 ; Gupta and Bhamoriya, 2020 ; Hare, 2016 ). Excluding China and India, the gender gaps in labor force participation rates in emerging economies are still larger than those in developing economies, which partially reflects the large gaps in emerging MENAP countries. Low labor force participation, particularly for women, has been a major policy concern for many advanced economies and some emerging economies, as they face an aging population. As women in these economies tend to be well educated, it would be a considerable waste if they do not fully engage in economic activities.

There are also large gaps in the sectoral distribution of female and male employment, likely reflecting the differences in field of study. In advanced economies, women are less likely to work in the agriculture and industry sectors and more likely to work in the service sector; but there is a shift in the trend around 2018 from the service sector to the industry sector. Emerging and developing economies share broadly similarly trends over the past decade or so: relatively larger shares of women work in the agriculture sector; and women are moving rapidly from the agriculture and industry sectors to the service sector ( Appendix Figure 3b-3d ). In OECD countries, female employment in the service sector accounts for 80 percent of employed women, compared with 60 percent for men. Within this sector, women fill a disproportionately high share of occupations in health and community services, followed by education ( OECD, 2012 ). ILO (2012) finds that women are overrepresented in sectors characterized by low status and low pay.

Gender gaps in occupations within the science and engineering (S&E) field have been a particular concern. In the United States, by 2019 women made up 29 percent of the S&E workers, but female scientists and engineers are more likely to work in non-S&E occupations than in S&E occupations ( Cook and others, 2021 ). In 2019, 70 percent of psychologists were women, but just 14 percent of engineers and 29 percent of the workforce in computer and mathematical sciences were women. Women often start their careers working in the innovation economy, but then leave for various reasons, including the need to provide childcare, the lack of family-leave policies, and poor workplace climate ( Cook and others, 2021 ).

Increasing attention is also paid to women’s role in innovation, widely viewed as a central driver of productivity and economic growth. Gender inequality persists at every state of innovation, from education and training, to the practice of invention, and to the commercialization of those inventions ( Cook, 2019 ; Cook and others, 2021 ). Women hold only 5.5 percent of commercialized patents and represent just 10 percent of US patent inventors and only 15 percent of inventors in the life sciences. This in part reflects women’s underrepresentation in jobs involving development and design ( Hunt and others, 2013 ). In addition, discriminatory practice leads to inequality in patenting outcomes, even without discriminatory laws. Patent applications by women inventors were found to be more likely to be rejected than those of men, and those rejections were less likely to be appealed by the applicant teams. Conditional on being granted, patent applications by women inventors had a smaller fraction of their claims allowed, on average, than did applications by men. Further, those claims allowed had more words added during prosecution, thus reducing their scope and value. The granted patents of women inventors also received fewer citations than those of men and were less likely to be maintained by their assignees ( Cook and Kongcharoen, 2010 ; Jensen and others, 2018 ).

What has received particular attention is the underrepresentation of women in politics and corporate management positions. Representation of women in politics has improved substantially across all economies, with the proportion of seats held by women in national parliaments about doubled over the past two decades, likely due to the high public visibility; the gender gap, however, remains large ( Appendix Figure 4a ). For senior and middle management positions, there has been, however, little progress over the past two decades ( Appendix Figure 4b ). It appears that the success in political leadership has not been trickled down to the corporate world, highlighting the challenges to make changes in less visible areas. Across the 27 EU countries, only 25 percent of business owners with employees are women, and the low share of women had only marginally grown over 2000-2010 in EU27, Canada and United States ( OECD, 2014 ). A number of countries have enacted legislation requiring a set quota of female representation on corporate boards , the effectiveness and efficacy of such policy, however, has been intensely debated ( Kuzmina and Melentyeva, 2021 ; Greene and others, 2020 ; Lleras-Muney and others, 2019 ; Levi and others, 2014 ; Gregory-Smith and others, 2014 ; Strøm and others, 2014 ).

The gender wage gap has declined in most countries where data are available over the past two decades. Significant gap, however, still persist, averaging around 11 percent, and the gap varies substantially across countries ( Appendix Figure 5 ). While a large part of the gender gap in earnings can be explained by women working fewer hours in the labor market than men, women’s work force interruptions, gender differences in occupations and industries, a significant part of the gender pay gap remain unexplained, suggesting that factors such as discrimination and gender differences in psychological attributes and noncognitive skills are also important contributors to the gender pay gap ( OECD, 2017 ; Blau and Kahn, 2017 ). For example, using a personnel dataset from a large Chinese company, Chen and others (2021a) find that the gender wage gap is small in the early stages of careers and becomes increasingly evident when female employees get married and have children. Whereas the short-term peak around childbirth can be explained by women’ reduced working hours, the long-term trend is caused by women’s concentration in lower-level jobs.

• C. Financial access and legal barriers

More attention is gradually drawing to access to credit by female entrepreneurs, as to financial access by females as individuals.

On account ownership at a financial institution/with a mobile-money-service provider, advanced economies have largely closed the gender gap; emerging economies have been making steady progress, with the gap narrowing from 23 percent in 2011 to 7 percent in 2021; little progress, however, has been seen in low-income developing countries over the last decades, with the gap staying at around 27 percent ( Appendix Figure 6a ).

The evidence on whether fintech can help close gender gaps in financial access, particularly in developing and emerging economies, still appears limited. Sahay and others (2020) find that gender gaps are lower on average in digital financial inclusion than in traditional financial inclusion, but there are significant variations across and within geographical regions. Chen and others (2021b) find a large fintech gender gap: while 29 percent of men use fintech products and services, only 21 percent of women do. Various factors contribute to the gender gap in fintech, including financial and digital literacy and socio-culture factors, suggesting that fintech by itself may only have limited impacts in reducing gender inequality in financial access, and policies to address more fundamental drivers of gender inequality are essential ( Khera and others, 2022 ; Chen and others, 2021b ).

On entrepreneurship financing, a significant gender gap still exists, even in advanced economies. Women are less likely than men to report that they can access the financing needed to start a business in all countries except for Mexico and the United States, with an average gap of eight percentage points in OECD countries ( Appendix Figure 6c ).

On legal barriers to gender equality, substantial progress has been made in all country groups, but effective implementation of the enacted laws and regulations remain a challenge in some countries. According to the Women, Business and Law Index, advanced economies have removed almost all the legal barriers to gender equality; significant gaps, however, still exist in emerging and developing economies ( Appendix Figure 6b ). 10 The impact of adopting gender equality legislation, however, would be limited if they are not fully implemented and enforced. For example, there is evidence from Ghana that reforms to inheritance laws led to few positive changes in terms of women’s inheritance ( Gedzi, 2012 ); a positive legal change in Pakistan has not allowed women to claim their entitled inheritances because of factors such as lack of education, patriarchal behaviors, and forced marriages ( Ahmad and others, 2016 ). Furthermore, cultural and economic factors may pose challenges to women exerting their rights, as in the case of reforming gendered land ownership laws in Kenya, Rwanda, and Uganda ( Djurfeldt, 2020 ).

• D. Policy considerations

The literature suggests that there is still a long way to go to achieve gender equality for most economies:

Gender inequality remains large. While advanced economies have largely closed gender gaps in access to education and individual access to financial services, and removed legal barriers to gender equality, gender gaps in leadership positions, labor force participation, and pay remain sizable. Furthermore, more subtle gender gaps still persistent, such as in quality of education including field of study, sectoral distribution of employment, entrepreneurship financing, and innovation. 11 Emerging and developing economies faces additional challenges to achieve equality in access to tertiary education, individual access to financial services, and legal rights.

Closing the remaining gender inequality will likely be more challenging, as countries move to address gender inequality that is more implicit and subtle. This is because such inequality may be less visible to the public and thus may face less social pressures; with the difficulties in distinguishing preference/comparative advantage between men and women from gender bias/cultural barriers for such inequality, effective and efficient policies may be lacking; and addressing such inequality may require changing people’s mindset, which tends to be more difficult.

The social and economic impact of further reducing gender inequality is likely substantial. The more implicit and subtle nature of gender inequality does not necessarily mean less social and economic benefits from removing such forms of inequality. For example, in the case of United States, 94 percent of doctors and lawyers were white men in 1960; by 2010, the fraction was just 62 percent; similar changes in other high-skilled occupations have occurred throughout the U.S. economy during the last 50 years; given that the innate talent for these professions is unlikely to have changed differently across groups, the change in the occupational distribution since 1960 suggests that a substantial pool of innately talented women and black men in 1960 were not pursuing their comparative advantage ; it is estimated that between 20 and 40 percent of growth in aggregate market output per person during the period can be explained by the improved allocation of talent ( Hsieh and others, 2019 ). In a study of PhDs, GDP per capita could be 0.6 to 4.4 percent higher if women and African Americans were able to participate more fully in the innovation economy ( Cook and Yang, 2018 ).

One potential lesson, particular for emerging and developing economies, is that in addressing gender inequality, it may be more effective and efficient for policy designs to consider the whole spectrum of gender inequality, including both the highly visible ones and the more implicit and subtle ones. For example, in closing the gender gap in access to tertiary education, countries should also be mindful about the gender differences in field of study and actively help remove any barriers that may hinder the ability of female students in pursuing STEM fields. Another example would be to pay full attention to both the adoption and the implementation of gender equality laws.

• IV. The benefits of reducing gender inequality go beyond women

The literature has documented broad social and economic benefits from lowering gender inequality, including the increasing emphasis on its macroeconomic effects ( Kolovich and others, 2020 ). Reducing gender inequality affects not only women, but everyone.

First and foremost, women benefit from lower gender inequality. This includes, for example, better career development, higher pay, and less violence, less discrimination and more equal rights, through improvements in human capital development, job opportunities including in leadership positions and as entrepreneurs, access to finance, and legal and regulatory environment.

Second, children benefit from lower gender inequality and women’s empowerment. Women’s choices appear to emphasize child welfare more than those of men, and children seem to be better off when their mothers control relatively more of their family’s resources. For example, Miller (2008) presents evidence on how suffrage rights for American women helped children to benefit from the scientific breakthroughs of the bacteriological revolution, with child mortality declining by 8–15 percent (or 20,000 annual child deaths nationwide), through large increases in local public health spending. Leight and Liu (2020) document that more-educated mothers appear to compensate for differences between their children, investing more in children who exhibit greater noncognitive deficits, while no such effect is found for men. Pitt and others (2003) find that women’s access to credit has a large and statistically significant impact on two of three measures of the child health, but no such effect is found for men.

Third, reducing gender inequality could potentially help increase the productivity of teams and improve the performance of firms and other institutions. This is primarily through the diversity channel, in the sense that mixed-gender teams are more productive and creative and tend to make better decisions ( Rock and Grant, 2016 ; Ozgen, 2021 ). Cook and Kongcharoen (2010) find that all-male and all-female patent teams commercialize their patents less than mixed-gender patent teams, with a similar finding from Østergaard and others (2011 ). Herring (2009) finds that gender diversity is associated with increased sales revenue, more customers, and greater relative profits. A number of studies find that gender quotas at corporate board are associated with improvements in firm performances, though there is still no consensus in the literature ( Strøm and others, 2014 ; Levi and others, 2014 ; Kuzmina and Melentyeva, 2021 ; Owen and Temesvary, 2018 ; Green and others, 2020 ). 12

Fourth, lower gender inequality can bring important macroeconomic benefits to everyone, with stronger economic growth and financial stability, more jobs, and less income inequality ( Kochhar and others, 2017 ; Sahay and others, 2015; Sahay and others, 2018 ; Cihak and Sahay, 2020 ).

Better matching female talent to human capital development and employment, including as corporate and political leaders and entrepreneurs, can substantially boost economic growth and strengthen economic and financial stability. For example, higher female labor force participation can substantially boost economic growth ( Kochhar and others, 2017 ; Kolovich and others, 2020 ). As discussed earlier, between 20 to 40 percent of growth in aggregate market output per person between 1960 and 2010 in the United States can be explained by improved allocation of talent ( Hsieh and others, 2019 ). Innovation is widely viewed as a central driver of productivity growth and output, and gender inequality hinders innovation at every state of the process, particularly as a growing literature is showing better outcomes of more diverse and mixed-gender teams ( Rock and Grant 2016 ; Cook, 2019 ; Cook and others, 2021 ). The literature also finds positive association between financial inclusion and economic growth, and reducing gender inequality in financial access, including through fintech, can thus help increase economic growth, particularly in countries with low levels of financial inclusion (Sahay and others, 2015; Sahay and others, 2020 ). There is also evidence that female leadership, including as financial regulators, is associated with financial and political stability ( Sahay and others, 2018 ; Caprioli, 2005 ).

Reducing gender inequality could also help lower income inequality and, in turn, improve social stability and economic growth ( Gonzales and others, 2015b ). Gender wage gaps directly contribute to income inequality. Conversely, policies to address gender inequality benefit females in low-income households the most, also reducing income inequality. For example, reducing gender gaps in school enrollment means that girls from poor households are more likely to receive education , thereby increasing their lifetime earnings potential ( Demery and Gaddis, 2009 ). In addition, financial inclusion of women is found to have a strong link to lower income inequality; this is because, while financial inclusion benefits everybody, the gains for women are quantitatively larger (Aslan and others, 2017; Cihák and Sahay, 2020 ).

V. Policies and their designs matter: general versus targeted policies

There is strong evidence from the literature that government policies and their designs matter for gender gaps and gender inequality. The key question, however, is how government policies can be designed to achieve gender equality while minimizing their efficiency cost (or maximizing the efficiency benefit).

• A. The role of policies in closing gender gaps

A broad range of government policies and programs can affect gender gaps, such as public investment to improve access to education and healthcare, childcare subsides, paid parental leave, eliminating tax penalties for secondary earners, and laws and regulations to ensure women’s rights and opportunities ( Rim, 2021 ; Ruhm, 1998 ; Dustmann and Schönberg, 2012 ; Heath and Jayachandran, 2018 ; Evans and Yuan, 2022 ; Bick and Fuchs-Schündeln, 2017 ; Olivetti and Petrongolo, 2017 ; Gonzales and others, 2015 a; Hyland and others, 2020 ). For example, Rim (2021) finds that banning gender discrimination in admissions was successful in reducing gender disparity in graduate education. Sometimes, the policy interventions involve tradeoffs between different gender gaps. For example, Ruhm (1998) finds that parental leave is associated with increases in women’s employment, but with reductions in their relative wages at extended durations. Lalive and others (2014) find that, for parental leave, a system that combines cash benefits with job protection dominates other designs in generating time for care immediately after birth while maintaining mothers’ medium-term labor market attachment.

In addition to the large variations in gender gaps by level of development as shown in Section III, gender gaps also vary substantially among countries at a similar level of development and in the same region, for several selected gender gap measures ( Appendix Figure 7 ). Assuming countries in the same region have similar gender social norms, this suggests that government policies potentially play an important role in explaining cross-country variations in gender gaps.

As an illustration, here we estimate the effects of laws and regulations that ensure equal opportunities for women (measured by Women, Business and the Law Index) on five gender gaps (these gaps are selected as they are key measures of women’s economic opportunities, tend to present in many countries, and are widely reported). 13 The estimates are based on a fixed effects specification with a time trend and lagged key independent variable. The model uses per capita GDP in purchasing power parity (PPP) terms to control for level of development, country fixed effects to control for time-invariant factors (e.g., social norms), and a time trend to control for global trends. 14 The results suggest that gender laws and regulations are associated with lower gender gaps in some areas (e.g., account ownership at a financial institution /with a mobile-money-service provider and proportion of seats held by women in national parliaments). The estimates on gender gaps in labor force participation, female share of senor and middle management, and pay are not statistically significant ( Appendix Table 1 ). One likely explanation is that the introduction of gender equality laws and regulations helps raise awareness and can lead to changes that face relatively less barriers (e.g., financial access) or are highly visible by the public (parliament seats). More fundamental changes, however, may take time (e.g., labor force participation, senior and middle management, and pay).

• B. General versus targeted policies

The effects of government policies on gender inequality and economic efficiency would depend on their specific designs and country-specific social and economic structures and conditions, and thus should be assessed on a policy-by-policy basis. There are, however, also commonalities among government policies, and it would be useful to understand their advantages and disadvantages. For example, gender-sensitive government policies can be broadly classified into two groups: general policies that apply to all genders indiscriminately but affect one gender more than the other and targeted policies at a specific gender.

By definition, nearly all macro policies—including fiscal policies, monetary policies, and exchange rate policies as well as macro-financial and macro-structural policies—belong to general policies, as they are primarily intended to boost economic growth and employment and achieve macro and financial stability. This, however, does not necessarily mean that macro policies are gender neutral. In fact, many of these policies have implications on gender gaps and gender inequality, because they affect different segments of the economy differently, and the distributions of female and male population also differ across these segments of the economy. For example, on fiscal policies, family-based income taxation implicitly raises the marginal tax rate for the income of secondary earners—who tend to be women—and contributes to the gender inequality in labor force participation ( Bick and Fuchs-Schündeln, 2017 ); while public education and health spending on average may still favor boys, the benefits from additional spending tend to be captured more by poor girls, as they are more likely to be still lacking access to education and healthcare ( Demery and Gaddis, 2009 ). On financial sector policies, while financial inclusion benefits everyone, the gains for women are quantitatively larger ( Cihák and Sahay, 2020 ). Monetary, exchange rate policies and macro structural policies have also been found to have gender implications. 15

Micro policies refer to government programs that target specific entities such as firms and households, and thus gender-sensitive micro policies can be either general or targeted policies. This includes a variety of programs such as (un)conditional cash transfers, hygiene promotion and water treatment, educational programs on gender equality for students, legal reforms to enhance women’s rights, conditional cash transfers for dropped out girls, reservation of subway cars exclusively for women, and gender quotas on corporate boards or political seats. Many of these programs have been shown to improve outcomes for women or girls ( Hahn and others, 2018 ; Harari, 2019 ; Beaman and others, 2012 ).

In general, targeted gender policies conceptually are less efficient as they exclude males who may be better suited for the opportunities. However, with the presentence of gender inequality (e.g., gender bias and social norms that hinder women’s rights and opportunities), general programs can also be inefficient in the sense that preference may be given to less qualified males. Because gender gaps can be driven by gender inequality or preference/comparative advantage between men and women or most likely both, and empirically it is difficult to separate the two effects, the key challenge for targeted gender policies is how to set the policy target s, as fully closing gender gaps may not be appropriate. Below are a few considerations:

It is not even clear that targeted gender policies are more effective in closing gender gaps. For example, from 267 educational interventions in 54 low- and middle-income countries, general interventions deliver average gains for girls that are comparable to girl-targeted interventions in improving access and learning ( Evans and Yuan, 2022 ). However, the most effective programs may not be the most cost-effective. Due to the lack of cost data, the cost-effectiveness of the programs could not be assessed.

There is evidence that some gender targeted policies may have unintended consequences or lead to inefficiencies. For example, the findings from a program that reserves subway cars exclusively for women in Mexico City suggest that while the program seems to be successful at reducing sexual harassment toward women, it also increases aggression incidents among men ( Aguilar and others, 2021 ). While the policy of setting gender quotas on corporate boards is still intensely debated, some studies find that the policy is associated with negative returns, and the negative effect is less severe for firms with a greater supply of female candidates, and for those that can more easily replace male directors or attract female directors ( Green and others, 2020 ). This appears to indicate that this policy may indeed lead to less qualified women being selected in some circumstances. Furthermore, there is also evidence that the policy has very little discernible impact on women in business beyond its direct effect on the women who made it into boardrooms ( Bertrand and others, 2019 ). This suggests that the policy may be more of ticking a box exercise. Afridi and others (2017) find short-term costs of gender-affirmative action policies for political leadership positions, but that once initial disadvantages recede, women leaders are neither more nor less effective local politicians than men. 16 While this does not mean that these policies should not be pursued, it does raise the need for careful designing such programs, particularly as its long-run or economy-wide impact may be difficult to identify in the studies. 17

For some policies, there is less ambiguity on their efficiency implications. For example, legal reforms to provide equal rights to women, by definition, is addressing gender inequality directly. This may be one potential reason for the rapid progress in removing legal gender barriers. Another example is educational programs on gender inequality, it is in fact more effective to be targeted to both genders , as reducing gender inequality requires the active participation by men as well ( Dhar and others, 2022 ). In some instances, preference/comparative advantage between men and women are expected to play a limited role, such as access to basic education (e.g., preprimary, primary and secondary) and healthcare. In such cases, fully closing the gender gaps would unlikely introduce any major distortions.

General policies tend to introduce less gender-specific distortions, although they can only address gender inequality, often in a more gradual manner. For example, conditional cash transfer programs can help improve school attendance of both boys and girls and benefit girls more than boys because more girls lack access to education in the absence of the programs. However, on the margin, boys are likely still less qualified than girls, even if the programs have helped narrow the gap. With this in mind, general policies may be particularly useful in circumstances where it is difficult to assess to what extent that the gender gaps are due to gender inequality. One potential area is formal labor force participation for which it is unclear how much of the lower labor force participation for women is due to gender inequality and how much is due to preference. In such a case, targeted policies such as wage subsidies for women may not be advisable, while general policies such as childcare subsidies may be more appropriate. 18

In areas where only targeted gender policies may be effective (e.g., in situations where men and women compete with each other), it would make sense to be conservative, by setting the gender quotas low initially and gradually increase them as more evidence becomes available. For example, only targeted gender policies are likely effective in promoting female leadership (e.g., gender quotas on corporate boards), as the number of leadership positions is fixed, and more female leaders mean fewer male leaders. This appears to be the case in some countries that have adopted policies to set gender quotas on corporate boards, through it is unclear if the design is indeed driven by such a consideration. For example, Malaysia’s publicly traded firms must have at least one-woman director on their boards from September 1, 2022; and California requires public companies headquartered in California to have at least one female director by the end of 2019 and at least two (three) female directors on five (six or more) member boards by the end of 2021.

• VI. Policy actions do not have to start with those targeted at the root causes

As discussed in Section II, the root causes of gender inequality are gender bias/social norms that restrict women’s rights and opportunities. Only until the root causes are eliminated, gender equality can be fully achieved; some gender gaps may still remain but are driven by preference /comparative advantage between men and women. Before that, it is unlikely that gender inequality in different areas such as education, labor market, and financial access can be fully removed. With the difficulties in separating gender inequality from efficient allocation, general policies may have difficulties in fully eliminating gender inequality, while targeted gender policies run the risk of either not fully addressing gender inequality or introducing additional gender distortions. With these constraints, how should policies be designed? Should policies only focus on those that are directly targeted at gender inequality (e.g., removing legal barriers) and its root causes (e.g., educational programs and information campaigns)?

This paper argues that addressing gender inequality does not have to solely rely on policies that are targeted at gender inequality and its root causes, and other general and targeted policies can still play a key role in addressing gender inequality, for several reasons:

First, while social norms evolve as countries develop (e.g., higher income, better education, and technological advances), this is often slow, almost by definition. There is evidence that some interventions can help change social norms. This includes educational programs on gender inequality and exposure to (female) role models. For example, an intervention in India that engaged adolescent girls and boys in classroom discussions about gender equality for two years, aiming to reduce their support for societal norms that restrict women ’s and girls’ opportunities, is shown to have persistent effects and leads to shifts in behavior, more so for boys than girls ( Dhar and others, 2022 ). The findings from Bell and others (2019 ) suggest that if girls were as exposed to female inventors as boys are to male inventors in their childhood commuting zones, the current gender gap in innovation would shrink by half. 19 The scope for policies directly targeting gender inequality (e.g., removing legal barriers) also appears limited.

Second, policies to reduce gender inequality in different areas such as education and labor market can be effective, with substantial immediate benefits for women and for the entire society, as discussed throughout the paper and particularly in Section IV. Examples include general policies and targeted gen der policies to improve access to education (e.g., public investment in education and conditional cash transfers for girls) and boost labor force participation (e.g., childcare subsidies and eliminating tax penalties for secondary earners).

Third, policies to address gender inequality in different areas can also indirectly influence gender bias and social norms, the root causes of gender inequality. For example, policies that help narrow the gender inequality in education in turn also help shape gender attitude, as it increases women’s income and bargaining power at home ( Le and Nguyen, 2021 ). Gender quotas in political leadership can help influence adolescent girls’ career aspirations and educational attainment—reflecting primarily a role model effect of female leadership—and reduce gender discrimination in the long-term ( Beaman and others, 2012 ; Pande and Ford, 2012 ). A program to enhance financial inclusion of women—under which rural Indian women received bank accounts, training in account use, and direct deposit of public sector wages into their own (versus husbands ’) accounts— incentivizes women to work and helps liberalize women’s own work-related norms and shift perceptions of community norms ( Field and others, 2021 ).

While addressing gender inequality does not have to start with and solely focus on policies that are targeted at the root causes of gender inequality, it would need to end there, as fully eliminating gender inequality would require addressing the root causes of gender inequality, and policies aiming at reducing gender inequality in different areas can only go so far. Only then, while some gender gaps may still exist, the allocation of human capital would be fully efficient, reflecting preference /comparative advantages between men and women.

• VII. Discussions

This paper identifies five key issues that are particularly important for the continued efforts to tackle gender inequality:

It is critical to clearly define gender inequality and distinguish it from gender gaps. This has important implications on the policy designs to address gender inequity. However, the literature has paid little attention to this issue, often using gender inequality and gender gaps interchangeably. This paper defines gender gaps as the observed differences between men and women or between boys and girls in the various social and economic indicators, and gender inequality refers to the part that is driven by gender bias and unequal gender rights and opportunities. However, empirically estimating the corresponding gender inequality for each gender gap remains a challenge and requires more efforts on data collection and methodological developments.

The focus of gender inequality has been evolving over time. As some gender gaps are closed, other gender gaps are emerging (not necessarily new, but attracting the attentions of the public and policymakers). This suggests that there is still a long way to go to fully addressing gender inequality. Particularly, gender inequality is getting more subtle and implicit, though the social and economic benefits from addressing the remain gender inequality is still likely to be substantial. This highlights the need to apply a gender lens to a broad range of policies and practices to understand their potential implications on gender inequality. Such efforts help develop a comprehensive strategy, instead of a piece-meal approach with which only some gender inequality is addressed at a time.

Addressing gender inequality benefits everyone, not just women. Thus, the entire society should work together, even for each individual’s own interest. Lower gender inequality not only benefits women, but also benefits children—as women trend to emphasize child welfare more than men—and the entire economy through the positive productivity externality from more balanced gender roles, and improved economic growth, financial stability, and income inequality. In addition to further strengthening the empirical evidence in these areas, there is an urgent need for the findings to be incorporated into policy designs and decision-making.

Policies and their designs can help accelerate the decline of gender inequality from economic development and technological advances. Both general policies and targeted gender policies can play a role, and the pros and cons of such policies should be carefully assessed. As gender inequality becomes more subtle and implicit (e.g., in field of study, the distribution of employment across sectors, and mid-level management positions), general policies will typically not work, unlike for school enrollments and labor force participation. Thus, targeted gender policies will need to play a bigger role. More analytical work is needed on what programs work and under what conditions. Also, this means that analytical work geared at separating gender inequality from gender gaps is all that more important.

While fully addressing gender inequality requires the elimination of the root cause s of gender inequality (e.g., gender bias and social norms), this does not mean that policies are not targeted at the root causes of gender inequality do not have a role. In fact, they can still be effective, as they can generate immediate social and economic benefits and indirectly affect gender bias and social norms. Policies directly targeted at the root causes of gender inequality would be generally preferred but appear limited, and research to expand the policy toolkit would be particularly useful.

One general issue in the efforts to address gender inequality is the lack of gender disaggregated data. Great progress has been made. For example, The IMF’s Financial Access Survey (FAS) is a unique source of annual supply-side data on access to and use of basic financial services by gender. The World Development Indicators (WDI) from the World Bank now present many statistics by male and female separately. Missing data, however, are still widespread, particularly in low-income countries. Therefore, continued efforts are still needed to further expand data availability in terms of both coverage and quality.

Another important issue the paper only marginally touches upon is the challenge of turning policy designs into practices. The analysis of Women, Business, and the Law index on several gender gaps suggests that it is not automatic that laws and regulations to promote gender equality will lead to immediate improvements in gender outcomes. Implementation remains a challenge for many countries, particularly developing economies with limited administrative capacity. For example, as reported in Evans and Yuan (2022) , many similar policy interventions have substantially different impacts across countries. Conditional cash transfer in South Africa is the best intervention among the 267 educational interventions in 54 low- and middle-income countries, while conditional cash transfer in the Philippines is one of the ten worst interventions. Thus, the importance of effective implementation cannot be overstated.

Gender Gaps in Education

Gender Gaps in Field of Study

Gender Gaps in Labor Force Participation and Employment by Sector

Gender Gaps in Leadership Positions

Gender Wage Gap in Selected Economies

Gender Gaps in Financial Access and Legal Barriers to Gender Equality

Large Variations in Gender Gaps across Countries

Alternative Specifications on the Effects of Laws and Regulations on Selected Gender Gaps

Afridi Farzana , Vegard Iversen , and M. R. Sharan , 2017 , “ Women Political Leaders, Corruption, and Learning: Evidence from a Large Public Program in India ,” Economic Development and Cultural Change, Volume 66 , Number 1 : 1 – 30 .

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Strøm , Reidar , Bert D’Espallier , and Roy Mersland , 2014 , “ Female Leadership, Performance, and Governance in Microfinance Institutions .” Journal of Banking and Finance 42 : 60 –75.

Tewari , Ishani , and Yabin Wang , 2021 , “ Durable Ownership, Time Allocation, and Female Labor Force Participation: Evidence from China’s “Home Appliances to the Countryside” Rebate ,” Economic Development and Cultural Change , Volume 70 , Number 1 : 87 - 127 .

World Economic Forum (WEF) , 2021 , “ Global Gender Gap Report 2021 ,” World Economic Forum , Geneva .

World Bank , 2006 , “ Repositioning Nutrition as Central to Development: A Strategy for Large Scale Action ,” World Bank , Washington DC .

World Bank , 2021 , Women, Business and the Law 2021 , World Bank , Washington DC .

Xiao , Pengpeng , 2021 , “ Wage and Employment Discrimination by Gender in Labor Market Equilibrium ,” Working Paper 144 , VATT Institute for Economic Research .

Zhang , Eva , and Tianlei Huang , 2020 , “ The Gender Gap in Labor Force Participation Is Widening in China While Narrowing in Other Parts of the World ,” PIIE Charts , Peterson Institute for International Economics ( https://www.piie.com/research/piie-charts/gender-gap-labor-force-participation-widening-china-while-narrowing-other-parts ).

In the rest of the paper, the discussions typically center around gender inequality against women, but the same arguments can be made for gender inequality against men when applicable.

The global commitment to achieving gender equality an d accelerating efforts to end gender inequality is reflected in the 2030 Sustainable Development Goal 5 , which includes nine targets covering discrimination and violence against women, child marriage, unpaid care and domestic work, leadership role, access to reproductive health, rights to economic resources, and technology use to promote women empowerment. In addition, achieving other SDGs could also have important implications for gender equality, for example, under Sustainable Development Goal 4 on quality education .

For example, a number of countries have mandated gender diversity on corporate boards of directors, including Austria, Belgium, Finland, France, Germany, Iceland, India, Israel, Italy, Kenya, Netherlands, Norway, Pakistan, Portugal, Spain, Quebec of Canada, and California of United States. Malaysia is one recent case and mandates its publicly traded firms to have at least one-woman director on their boards from September 1, 2022.

This includes both taste-based and statistical discrimination; taste-based discrimination refers to less favorable attitudes and prejudice towards women, while statistical discrimination refers to the use of perception or statistics on women as a group in decision-making when information on a specific woman is lacking; for example, firms may make employment and pay decisions, based on average leave days taken and average job turnover rates for women and men; studies have found that statistical discrimination plays an important role in gender gaps , such as in wages and employment ( List, 2004 ; Xiao, 2020; Cordoba and others, 2021 ).

It should be noted that preference here refers to choices made in the absence of gender inequality. This is important as gender inequality and the associated social norms often operate through affecting the willingness of men and women in making certain choices.

For example, the comparative advantage of women often refers to the innate advantage of women in brain versus brawn jobs in the literature.

According to the Bureau of Labor Statistics, around 13 percent of registered nurses in the United States are male in 2021.

The empirical observation of U-shaped female labor force participation over the course of economic development reflects other factors that also influence the decision of women entering the labor market ( Jayachandran, 2021 ). This includes the less need for a second income earner in a household, women’s comparative advantage in rearing children, the need to balance employment with household responsibilities, and social/cultural norms on “suitable” jobs for women, for example, between manufacturing jobs and service sector jobs.

While there is little empirical evidence on to what extent unpaid work is driven by preference and social norms, it is generally recognized that both play a role ( Alonso and others, 2019 ).

The index measures laws and regulations that affect women’s economic opportunities, based on eight indicators structured around women’s interactions with the law as they move through their careers: mobility, workplace, pay, marriage, parenthood, entrepreneurship, assets, and pension. Although it is critical to ensuring women’s economic inclusion, implementation of laws is not currently measured. Instead, Women, Business and the Law identifies legal differences between men and women as one step toward a better understanding of where women’s economic rights may be restricted in practice ( World Bank, 2021 ).

While the paper focuses on education, labor market, financial access and legal barriers, similar patterns are also observed in other areas. For example, in advanced economies, while there are little gender differences in health insurance and the ability to seek healthcare, a growing body of evidence suggests that female patients—relative to male patients—receive less healthcare for similar medical conditions and are more likely to be told by providers that their symptoms are emotionally driven rather than arising from a physical impairment; recent evidence also shows that there are large gender gaps in receiving benefits from social insurance programs that rely on medical evaluations ( Cabral and Dillender, 2021a ). For example, Low and Pistaferri (2019) show that female applicants for Social Security Disability Insurance are 20 percentage points more likely to be rejected than similar male applicants. The gender imbalance in the physician workforce can explain a large part of the gap ( Cabral and Dillender, 2021b ).

The literature of broad diversity (e.g., gender, race, and age) on firm productivity and team performance also yields mixed effects (see OECD (2020) for a review).

The study sample covers all countries between 1990 and 2019, when data are available.

Please see Appendix Table 1 for alternative specifications. Without including a time trend, the estimates are larger, more statistically significant, and have the expected signs for all five gender gaps, including labor force participation. Gonzales and others (2015a) and Hyland and others (2020 ; 2021) do not include a time trend and show similar results. The results from a random effects specification often lie somewhere in between.

See, for example, Bergman and others (2022) on the gender employment implication of the Federal Reserve’s recent move from a strict to an average inflation targeting framework; Erten and Metzger (2019) on currency undervaluation and female labor force participation ; and Kim and Williams (2021) on the effects of the minimum wage on women’s intrahousehold bargaining power.

Beaman and other (2012) , however, find that quota policies for female leadership helps improve adolescent girls’ career aspirations and educational attainment.

For example, the studies typically do not consider the impact of gender quotas on reducing gender bias in the broad society.

One example of targeted policies at gender inequality in employment is a payroll tax cut for female hires, introduced in 2012 in Italy to spur female employment and to stimulate business activity by reducing labor costs. The preferential tax rate is only available in occupations with large gender employment gap and has requirement for length in unemployment, which varies by age, whether in economically disadvantaged areas, and occupation. In addition, the preferential payroll tax scheme is valid for up to 12 months for temporary jobs and 18 months for permanent jobs. Firms can use the payroll tax cut only if overall employment would not decrease with respect to past employment. The complex eligibility criteria highlight the challenges in designing targeted gender policies while limiting their efficiency cost. Rubolino (2022) finds that payroll tax cut generates long-lasting growth in female employment with little effect on net wages and without crowding out male employment. However, the efficiency implication of the reform is not fully analyzed, as it is unclear what would have happened had the tax cut not been gender targeted,

See also Cook and others (2021) and Becker and others (2016) , which show that targeted mentoring programs can have significant and long-lasting effects on inclusion in STEM careers, where income, race, and gender gaps in acquiring education have been due to a lack of mentoring and exposure to science and innovation careers rather than differences in ability.

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What are the origins of gender inequality?

Author: guest contributor.

In honor of International Women's Day (March 8th) we're highlighting the expertise and experience of a few of our female authors whose own research investigates topics related to gender equality. Here we're sharing a guest blog from Marja Aartsen, a research professor, working at NOVA -Norwegian Social Research of Oslo Metropolitan University. Plus, explore Springer Nature's new SDG5 hub for more discussions around gender equality.

Written by Marja J. Aartsen, PhD

The most comprehensive answer probably comes from life course theories, originally formulated by Glen Elder. In short, according to this theory, the disadvantaged position of women should be understood as the outcome of a life-long process and an interplay between the individual’s preferences and resources, the lives of other people to whom they are linked, the timing of decisions, norms and values about gender, and opportunities or barriers created by the society. In other words, the creation of gender inequality is a subtle, life-long and partly unconscious process, fuelled among others by implicit cognitions about the role of men and women in society, and gendered stereotypical pictures.

While gender inequalities exist in nearly all countries of the world, there is a huge variation across countries. Nordic countries are doing relatively well, with a gender gap in labour participation of approximately 4% compared to 12% on average in OECD countries and 20% in Italy. Different policies unmistakably contributed to this gender equality, such as the dual earner/dual career model and paid parental leave for mothers and fathers. There are more subtle processes that stimulate gender equality in Nordic countries, such as images of women operating machines in advertisements of hardware stores and men taking care of toddlers and children in public spaces. Yet, only one out of three managers is femal e, even in the egalitarian Nordic countries. Breaking the vicious circle of the construction and reconstruction of gender inequality requires a growing awareness of all the structural and individual factors that create or amplify gender inequalities.

Unveiling factors contributing to these gender inequalities, however, is not easy task. It requires a careful comparison of nations and welfare states but cross-national studies addressing gender differences are scarce. One exception is the research project GENPATH , funded by the EU-Gender-Net Plus program to promote gender equality. GENPATH is a research collaboration between six European countries and Israel. In this research project, we aim at analysing the origin of gender differences in the prevalence and generation of exclusion from mainstream society, and consequences for health and wellbeing across European countries. Research so far suggests that differences between men and women are not clear-cut, as there are complex orders of advantage and disadvantage, oppression, and discrimination, which only certain (gender)-groups face, based on their location at the intersection of gender, age, ethnicity, sexuality, and economic background.   Research on the origins of gender inequality is valuable for the scientific debate and important for raising the awareness of the subtle processes enlarging the gender gap. While important, it is only the beginning of closing the gender gap. In order to reach sustainable solutions to enhance gender equality in the many facets of life and society, strategies should be multi-faceted. Sustainable solutions to reduce the gender gap should stimulate full autonomy and independence for women and men, by stimulating education and lifelong learning, equal rights to participate in society, equal sharing of family care and not in the least a paradigm shift in the stereotypical private and public images on the role of gender. Finally, for a more sustainable shift towards gender equality, policies should be gender-proof, i.e. checked for any potential gender discriminatory effect that could arise by the regulation. 

This helps to increase gender equality, not only as a “fundamental human right, but also as a necessary foundation for a peaceful, prosperous and sustainable world” (United Nations fifth Sustainable Developmental Goal).

Explore Springer Nature's new SDG5 hub dedicated to gender equality

About Marja J. Aartsen

Guest Contributors include Springer Nature staff and authors, industry experts, society partners, and many others. If you are interested in being a Guest Contributor, please contact us via email: [email protected] .

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One Cohort at a Time: A New Perspective on the Declining Gender Pay Gap

This paper studies the interaction between the decrease in the gender pay gap and the stagnation in the careers of younger workers, analyzing data from the United States, Italy, Canada, and the United Kingdom. We propose a model of the labor market in which a larger supply of older workers can crowd out younger workers from top-paying positions. These negative career spillovers disproportionately affect the career trajectories of younger men because they are more likely than younger women to hold higher-paying jobs at baseline. The data strongly support this cohort-driven interpretation of the shrinking gender pay gap. The whole decline in the gap originates from (i) newer worker cohorts who enter the labor market with smaller-than-average gender pay gaps and (ii) older worker cohorts who exit with higher-than-average gender pay gaps. As predicted by the model, the gender pay convergence at labor-market entry stems from younger men's larger positional losses in the wage distribution. Younger men experience the largest positional losses within higher-paying firms, in which they become less represented over time at a faster rate than younger women. Finally, we document that labor-market exit is the sole contributor to the decline in the gender pay gap after the mid-1990s, which implies no full gender pay convergence for the foreseeable future. Consistent with our framework, we find evidence that most of the remaining gender pay gap at entry depends on predetermined educational choices.

We thank Patricia Cortés, Gordon Dahl, Fabian Lange, Claudia Olivetti, Michael Powell, Uta Schönberg, as well as participants at various seminars and conferences for helpful comments. We thank Sergey Abramenko, Thomas Barden, Carolina Bussotti, Sean Chen, and Chengmou Lei for outstanding research assistance. The realization of this article was possible thanks to the sponsorship of the “VisitINPS Scholars” program. The views expressed in this paper are those of the authors only and should not be attributed to the Bank of Italy, the Eurosystem, or the National Bureau of Economic Research.

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Gender equality strategy 2022-2025.

• UNDP GENDER EQUALITY STRATEGY 2022-2025 (EN) PDF (18.3 MB)
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The United Nations Development Programme’s (UNDP) Gender Equality Strategy 2022-2025 has been created during turbulent times. Multiple crises and risks are threatening the world and we are witnessing an alarming backlash against women’s rights and gender equality. Since the COVID-19 pandemic hit, women have been nearly twice as likely to lose their jobs compared to men. Yet less than 20 percent of policy measures implemented by countries across the world addressed women’s economic insecurity. Gender inequality also takes a toll on men and other affected groups. For men, rigid gender norms can result in risky behaviour resulting in violence, poor health, and lower life expectancy.

At a time when progress towards achieving gender equality is often stalling or even reversing, this ambitious new Gender Equality Strategy will guide UNDP in its efforts to assist countries to move beyond piecemeal efforts towards portfolio approaches that shift power structures and the economic, social, and political systems that perpetuate discrimination.

The strategy is grounded in UNDP’s commitment to eradicating poverty...

The United Nations Development Programme’s (UNDP) Gender Equality Strategy 2022-2025 has been created during turbulent times. Multiple crises and risks are threatening the world and we are witnessing an alarming backlash against women’s rights and gender equality…

Achim Steiner, Administrator, United Nations Development Programme (UNDP)

...reducing inequalities and exclusion, and supporting the empowerment of all women. It describes how UNDP together with our partners, will pursue gender equality -- helping to make a difference to millions of people across the globe through our

six signature solutions, and three ‘enablers’: innovation, digital transformation, and financing for the Sustainable Development Goals (SDGs). That includes ending gender-based violence, tackling the gender dimension of poverty, expanding access to clean, affordable energy, public institutions reform, and helping to unlock additional public and private investment towards gender equality. Crucially, the strategy also asks UNDP to continue advancing gender equality within the organization. Leaders at every level of our organization are encouraged to innovate and seek incremental and breakthrough improvements to unlock the structural changes needed.

Every element of the new strategy draws on knowledge from UNDP’s longstanding engagement to advance gender equality in every corner of the globe. I am deeply grateful to the more than 1,000 colleagues and stakeholders whose contributions helped to produce a strategy that genuinely reflects the diversity and needs of the countries and territories where we operate.

I invite you to read the strategy and learn more. With the support and collaboration of our partners from the UN family -- including our close partnership with UN Women -- and beyond, UNDP will continue to take action with countries and communities to expand people’s choices and realize a just and more equal world.

The Gender Equality Strategy 2022-2025 has been written in unprecedented times. The COVID-19 pandemic has imperilled every dimension of our well-being and amplified a sense of fear across the globe, and there is an alarming escalation in armed violence. This strategy responds to reflections around two key concerns. First, why has progress towards gender equality been so slow and scattered, and even reversed? Second, what can UNDP best do in response?

• Assisting 80 countries to expand care services and redistribute care work.
• Supporting 250 million women to gain access to productive uses of clean energy.
• Helping 1 million more women to access and control digital assets.
• Leveraging and aligning over US$100 billion to contribute to gender equality through taxation systems, public spending, debt instruments and private capital investments.
• Certifying 500 public institutions and private companies with the Gender Equality Seal.

The global context: Crisis and opportunity

The world faces unprecedented planetary and social crises driven by human actions. The COVID-19 pandemic has raised acute questions about why progress continues to lag in many places, for many people, for so long. Development and other thought leaders, including many in feminist movements, have called for rethinking and rebalancing political, economic, social and environmental systems so that they become inclusive and sustainable. UNDP is ready to stand at the vanguard of this call for a new direction, including through this strategy for 2022-2025, recognizing that:

The COVID-19 crisis is eroding decades of progress while at the same time opening opportunities for innovative policies on gender equality.

Economic inequality is increasing, with a persistent uneven distribution of care.

Climate change has become a climate emergency, requiring a green transition that contributes to gender equality and human rights.

Governance is at stake, with polarization, democratic regression and serious pushbacks to gender equality.

Growing intersecting crises collide with gender norms to determine vulnerability, with war impacts and disaster fatality rates higher for the poorest women.

Rapid digitalization has impacts, with potential for widening inequalities but also with enormous power to help close gender gaps in access to and use of technology.

A mismatch between commitment and reality persists when it comes to investments, with a tension between collective ambition and financial resources for gender equality.

The Gender Equality Strategy 2022-2025 builds on the progress and lessons of the previous strategy. It draws on insights from assessments and evaluations, and from conversations with government leaders, prominent thinkers, feminist practitioners, civil society, the private sector, the United Nations system and UNDP staff worldwide.

The strategy responds to several key lessons, including that UNDP will:

Help countries to shift power relationships and cut the deep roots of gender inequality.

Be equipped with more sophisticated analysis to address the complexities of gender inequalities.

Integrate gender expertise across teams and invest adequate resources to scale up impact.

Partner with grassroots and women’s organizations to shift policy.

Mobilize financial resources for gender equality and women’s empowerment.

Our partnerships

Over the next four years, UNDP will foster collaborative leadership and learning, valuing diverse sources of knowledge and pursuing creative, emotionally engaging, and analytically sound collaborations. UNDP will pursue new partnerships for gender equality and deepen existing ones to advance longer-term advocacy and policy goals, including with:

UN Women and across the UN system

Civil society, including feminists’ organizations, women’s organizations and other groups advocating for rights

New partners who can help shift norms and behaviours to support gender equality, such as faith-based organizations, and networks of young women innovators and influencers

Academia and think tanks

Private sector

UNDP is uniquely capable of taking a whole-of-society approach and helping governments expand national development choices that work for all. During this strategy period and beyond, UNDP will be accompanying countries, driven by national development choices, in pursuing three directions of systemic change that are fundamental to gender equality.

Structural transformation

Working with countries to shift the underlying systems and power structures that determine development, UNDP will ask questions and hold difficult conversations, serving as a convener and advocate as much as, if not more than, a programme provider.

Leaving no one behind

To ‘reach the furthest behind first’, UNDP will address the multiple and intersecting forms of deprivation, disadvantage, and discrimination such as race, ethnicity, religion or belief, health, status, age, class, caste, and sexual orientation and identity.

Building resilience

Helping countries develop capacities to prevent, mitigate and respond to diverse risks and crises, UNDP will put gender equality at the centre of resilience building, including by fully involving women on equal terms and at all levels in decision-making.

Progress requires sustained action and investment over decades. UNDP will combine shorter-term incremental changes that reach individuals and communities with longer-term reductions in structural barriers that generate changes across social, economic and other systems.

UNDP will pursue gender mainstreaming across each of the five signature solutions of the Strategic Plan reflected in this section, along with stand-alone interventions summarized under signature solution 6.

Priorities represent accelerators where UNDP has demonstrated results and offers comparative advantages. They combine focused attention on closing historical inequities with interventions to achieve women’s empowerment, autonomy, and ability to make choices. With governments in a range of country situations as core partners, UNDP follows a contextualized, country-driven approach to implementing its priorities.

Signature solution 1

Poverty and inequality.

Contribute to gender-equal and sustainable economies:

• Universal and gender-responsive social protection and care services
• Fiscal policies that work for gender equality
• Expanded access to essential services, digital and other assets, and finance.

Signature solution 2

Help reinvigorate inclusive governance, participation and women’s leadership :

• Women's collective mobilization, voice and influence
• Towards genderresponsive States
• Achieving gender justice to realize rights.

Signature solution 3

Support equal societies to build resilience:

• Fully gender-responsive disaster risk reduction and management
• Resilient economic recovery to advance gender equality
• Women’s leadership and full participation in peace and recovery.

Signature solution 4

Environment.

Put gender equality at the heart of caring for people and the planet:

• Gender-responsive management of natural resources
• Implementing gender equality commitments in climate action plans
• Climate finance for gender equality.

Signature solution 5

Close gender gaps in access to modern energy:

• Energy access to unleash women’s economic empowerment
• Energy investments to reduce time poverty
• Galvanizing new knowledge on gender and energy.

Signature solution 6

Gender equality.

Accelerate the achievement of gender equality and the empowerment of women:

• Inclusive economies and women’s economic empowerment
• Equal power and representation
• Preventing and responding to gender-based violence
• Reversing the backlash against gender equality
• Better data and analysis for policy making
• Changing negative social norms.

Three enablers

Aligned with UNDP’s Strategic Plan, enablers are capacities and approaches to scale up development impact for country partners and within UNDP. To achieve this Gender Equality Strategy, UNDP will pursue three enablers: finance, digitalization and innovation.

Partnering with governments and the private sector to align public and private finance with gender equality commitments.

Digitalization

Supporting partners to close gender gaps in access to and uses of digital technology.

Empowering governments to use a more systemic and transformational lens to address multiple facets of gender inequality at the same time.

The Gender Equality Strategy 2022-2025 sets out an ambitious agenda to help countries embrace complexity and find new solutions, responding with flexibility and promoting learning instead of compliance or rigid responses to gender equality. At a pivotal moment for reimagining development, much depends on learning from the past to reframe strategies for our future. The following seven interconnected building blocks will help UNDP scale up impact and achieve transformative results for gender equality. The Gender Equality Seal will continue to be the UNDP global initiative for operationalizing this strategy.

Leaders foster listening and open spaces for self-reflection, pushing beyond comfort zones to change behaviours while modelling power-sharing in practice.

Composed of gender specialists, a gender architecture moves away from mechanical approaches to gender equality and works towards dismantling structural barriers.

New knowledge and innovation transforms how we develop solutions and generates frontier knowledge for gender equality.

UNDP continues to transform as a more inclusive, diverse and harmonious working organization.

Increase investments to achieve our ambition on gender equality and women’s empowerment.

Accountability mechanisms reinforce gender equality – for example, by establishing a Gender Data Powerhouse to provide reliable data on UNDP’s performance.

Communication for advocacy is employed across portfolios, including accessible messages to foster strategic dialogues with stakeholders.

Improving gender equality will help end violence against women, but it’s only part of the puzzle

Research Fellow, La Trobe University

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Stephanie Lusby is Research Manager with Respect Victoria.

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The spike in reports of women murdered by men this year has prompted widespread conversations across Australia about how we end gender-based violence . Much of this discussion has been about the importance of creating a more gender-equal society.

This then spurred conversations about the “ Nordic paradox ”. This theory questions why countries closer to achieving gender equality still report high rates of violence against women.

Countries such as Iceland elect more women to parliament, have more equitable parental leave policies and better pay parity, but have rates of violence similar to ostensibly less gender-equal countries.

At first glance, this seems an interesting contradiction. However, research informing Australian approaches is clear. These forms of gender parity are important, but they’re not enough to prevent violence against women on their own.

What is Australia doing?

In Australia, there’s a large focus on primary prevention, or stopping violence happening in the first place. This work happens alongside other prevention efforts that ensure perpetrators are helped to change their behaviour and keep survivors safe. This continuum is often talked about as fitting into three categories of effort : primary, secondary and tertiary prevention.

Primary prevention means changing the social conditions that allow gender-based violence to occur. This requires comprehensive effort across every setting where we live, work, play and learn, to address the gendered drivers of violence and the reinforcing factors that can make this violence more severe.

Secondary prevention, also called early intervention, aims to support people ( predominantly men ) who have used violence (or are at risk of doing so) from perpetrating further harm. Tertiary prevention is also referred to as crisis response. This category supports victim-survivors to get help, such as safe housing and emergency funds when escaping violence. It also includes men’s behaviour change programs and law and justice responses to perpetrators.

Work to address the gendered drivers of violence happens across all these categories. However, Australia’s National Plan to end violence against women rightly emphasises the importance of dedicated attention to primary prevention. Most primary prevention efforts in Australia draw on international evidence reviews , developed by Our Watch into a framework called Change the Story . This sets out four categories of gendered drivers of violence against women:

condoning of violence against women

men’s control of decision-making and limits to women’s independence in public and private life

rigid gender stereotyping and dominant forms of masculinity

male peer relations and cultures of masculinity that emphasise aggression, dominance and control.

Layers of complexity

Violence against women is a complex, multi-layered problem. These four categories overlap with drivers of other forms of structural discrimination. Ableism , colonialism and racism and heteronormativity and cisnormativity (building society around the idea that heterosexual and cisgender people are the norm) all add complexity.

Change the Story also highlights additional factors to consider, such as heavy alcohol use or backlash to gender equality.

Alone, these do not necessarily cause gender-based violence, but they do reinforce the likelihood that violence will occur or cause significant harm.

All these dynamics shape how gender-based violence is perpetrated and experienced by different cohorts of the community. Addressing these different needs, therefore, should be tailored and comprehensive.

This is already happening in many areas. Programs in faith-based organisations and different diasporic communities , women’s health networks and Aboriginal community-controlled organisations take this approach. So too do programs led by people with disability and those in LGBTQIA+ communities.

Measuring the wrong things

Primary prevention calls on everyone to help change social norms, while not losing sight of the need for broader structural change.

The multifaceted nature of these strategies means measuring success based only on the data used to construct the Nordic paradox is like critiquing a theatre performance purely on the set design. It’s important, but you must also consider the efforts of the playwrights, actors and directors when deciding whether the play is a success.

Studies used to inform the Nordic paradox report on measures of gender equality where progress is easier to track across more countries. Measures include who is accessing education and health services, who is going to work, who is in parliament, how much people are paid, and what laws are in place.

These play an important role in progressing efforts on the ground. Reducing structural barriers to things like women’s financial security, for example, makes a tangible difference.

However, such broad metrics can’t tell us how individual people react to such changes. They don’t provide insight into how reforms are administered and taken up. They don’t reveal whether men think violence against women is a problem or how people think they should behave in intimate relationships. Nor do they say anything about how men think about consent or pornography , or how men talk to each other about women.

Piecing the puzzle together

In Australia, there are different studies that build a more nuanced picture of progress to address all the drivers. These exist alongside tracking progress towards gender parity across measures considered in the Nordic paradox.

We measure change over time in attitudes towards gender equality and violence against women across Australia. There’s also work considering how men’s endorsement of harmful masculine norms shapes their attitudes towards women and gender-diverse people. This research provides crucial insight into where change is happening at a national level.

We also need to understand how and why progress is (or isn’t) made locally. We need to consider the effectiveness of all prevention initiatives, including respectful relationships education , equitable parenting initiatives and digital campaigns . We need more research to understand how, why and by whom violence is perpetrated .

We then need to bring all these separate pieces together to complete the puzzle. What’s the cumulative impact of all these programs and services, and how do they work together?

This kind of evaluation is a work in progress for Australia . However, we know from international examples that they can demonstrate powerful change .

Ending gender-based violence requires complex strategies informed by an evolving evidence base. This must include more than high-level gender parity measures.

• Domestic violence
• Gender inequality
• Violence against women
• Gender equality
• Family violence
• Gender-based violence
• Violence prevention
• Domestic violence support services

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Researcher: Improving gender equality will help end violence against women, but it's only part of the puzzle

by Stephanie Lusby, The Conversation

The spike in reports of women murdered by men this year has prompted widespread conversations across Australia about how we end gender-based violence . Much of this discussion has been about the importance of creating a more gender-equal society.

This then spurred conversations about the " Nordic paradox ". This theory questions why countries closer to achieving gender equality still report high rates of violence against women.

Countries such as Iceland elect more women to parliament, have more equitable parental leave policies and better pay parity, but have rates of violence similar to ostensibly less gender-equal countries.

At first glance, this seems an interesting contradiction. However, research informing Australian approaches is clear. These forms of gender parity are important, but they're not enough to prevent violence against women on their own.

What is Australia doing?

In Australia, there's a large focus on primary prevention, or stopping violence happening in the first place. This work happens alongside other prevention efforts that ensure perpetrators are helped to change their behavior and keep survivors safe. This continuum is often talked about as fitting into three categories of effort : primary, secondary and tertiary prevention.

Primary prevention means changing the social conditions that allow gender-based violence to occur. This requires comprehensive effort across every setting where we live, work, play and learn, to address the gendered drivers of violence and the reinforcing factors that can make this violence more severe.

Secondary prevention, also called early intervention , aims to support people ( predominantly men ) who have used violence (or are at risk of doing so) from perpetrating further harm. Tertiary prevention is also referred to as crisis response. This category helps victim-survivors to get help, such as safe housing and emergency funds when escaping violence. It also includes men's behavior change programs and law and justice responses to perpetrators.

Work to address the gendered drivers of violence happens across all these categories. However, Australia's National Plan to end violence against women rightly emphasizes the importance of dedicated attention to primary prevention. Most primary prevention efforts in Australia draw on international evidence reviews , developed by Our Watch into a framework called Change the Story . This sets out four categories of gendered drivers of violence against women:

• condoning of violence against women
• men's control of decision-making and limits to women's independence in public and private life
• rigid gender stereotyping and dominant forms of masculinity
• male peer relations and cultures of masculinity that emphasize aggression, dominance and control.

Layers of complexity

Violence against women is a complex, multi-layered problem. These four categories overlap with drivers of other forms of structural discrimination. Ableism , colonialism and racism and heteronormativity and cisnormativity (building society around the idea that heterosexual and cisgender people are the norm) all add complexity.

Change the Story also highlights additional factors to consider, such as heavy alcohol use or backlash to gender equality.

Alone, these do not necessarily cause gender-based violence, but they do reinforce the likelihood that violence will occur or cause significant harm.

All these dynamics shape how gender-based violence is perpetrated and experienced by different cohorts of the community. Addressing these different needs, therefore, should be tailored and comprehensive.

This is already happening in many areas. Programs in faith-based organizations and different diasporic communities , women's health networks and Aboriginal community-controlled organizations take this approach. So too do programs led by people with disabilities and those in LGBTQIA+ communities.

Measuring the wrong things

Primary prevention calls on everyone to help change social norms , while not losing sight of the need for broader structural change.

The multifaceted nature of these strategies means measuring success based only on the data used to construct the Nordic paradox is like critiquing a theater performance purely on the set design. It's important, but you must also consider the efforts of the playwrights, actors and directors when deciding whether the play is a success.

Studies used to inform the Nordic paradox report on measures of gender equality where progress is easier to track across more countries. Measures include who is accessing education and health services, who is going to work, who is in parliament, how much people are paid, and what laws are in place.

These play an important role in progressing efforts on the ground. Reducing structural barriers to things like women's financial security, for example, makes a tangible difference.

However, such broad metrics can't tell us how individual people react to such changes. They don't provide insight into how reforms are administered and taken up. They don't reveal whether men think violence against women is a problem or how people think they should behave in intimate relationships. Nor do they say anything about how men think about consent or pornography , or how men talk to each other about women.

Piecing the puzzle together

In Australia, there are different studies that build a more nuanced picture of progress to address all the drivers. These exist alongside tracking progress towards gender parity across measures considered in the Nordic paradox.

We measure change over time in attitudes towards gender equality and violence against women across Australia. There's also work considering how men's endorsement of harmful masculine norms shapes their attitudes towards women and gender-diverse people. This research provides crucial insight into where change is happening at a national level.

We also need to understand how and why progress is (or isn't) made locally. We need to consider the effectiveness of all prevention initiatives, including respectful relationships education , equitable parenting initiatives and digital campaigns . We need more research to understand how, why and by whom violence is perpetrated .

We then need to bring all these separate pieces together to complete the puzzle. What's the cumulative impact of all these programs and services, and how do they work together?

This kind of evaluation is a work in progress for Australia . However, we know from international examples that they can demonstrate powerful change .

Ending gender-based violence requires complex strategies informed by an evolving evidence base. This must include more than high-level gender parity measures.

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The Enduring Grip of the Gender Pay Gap

Table of contents, how the gender pay gap increases with age, mothers with children at home tend to be less engaged with the workplace, while fathers are more active, employed mothers earn about the same as similarly educated women without children at home; both groups earn less than fathers, progress in closing the gender pay gap has slowed despite gains in women’s education, gender pay gap differs widely by race and ethnicity, broader economic forces may impact men’s and women’s earnings in different ways, what’s next for the gender pay gap.

The gender pay gap – the difference between the earnings of men and women – has barely closed in the United States in the past two decades. In 2022, American women typically earned 82 cents for every dollar earned by men. That was about the same as in 2002, when they earned 80 cents to the dollar. The slow pace at which the gender pay gap has narrowed this century contrasts sharply with the progress in the preceding two decades: In 1982, women earned just 65 cents to each dollar earned by men.

There is no single explanation for why progress toward narrowing the pay gap has all but stalled in the 21st century. Women generally begin their careers closer to wage parity with men, but they lose ground as they age and progress through their work lives, a pattern that has remained consistent over time. The pay gap persists even though women today are more likely than men to have graduated from college. In fact, the pay gap between college-educated women and men is not any narrower than the one between women and men who do not have a college degree. This points to the dominant role of other factors that still set women back or give men an advantage.

One of these factors is parenthood. Mothers ages 25 to 44 are less likely to be in the labor force than women of the same age who do not have children at home, and they tend to work fewer hours each week when employed. This can reduce the earnings of some mothers, although evidence suggests the effect is either modest overall or short-lived for many. On the other hand, fathers are more likely to be in the labor force – and to work more hours each week – than men without children at home. This is linked to an increase in the pay of fathers – a phenomenon referred to as the “ fatherhood wage premium ” – and tends to widen the gender pay gap.

Related: Gender pay gap in U.S. hasn’t changed much in two decades

Family needs can also influence the types of jobs women and men pursue , contributing to gender segregation across occupations. Differential treatment of women, including gender stereotypes and discrimination , may also play a role. And the gender wage gap varies widely by race and ethnicity.

Pew Research Center conducted this study to better understand how women’s pay compared with men’s pay in the U.S. in the economic aftermath of the COVID-19 outbreak .

The study is based on the analysis of monthly Current Population Survey (CPS) data from January 1982 to December 2022 monthly files ( IPUMS ). The CPS is the U.S. government’s official source for monthly estimates of unemployment . For a quarter of the sample each month, the CPS also records data on usual hourly earnings for hourly workers and usual weekly earnings and hours worked for other workers. In this report, monthly CPS files were combined to create annual files to boost sample sizes and to analyze the gender pay gap in greater detail.

The comparison between women’s and men’s pay is based on their median hourly earnings. For workers who are not hourly workers, hourly earnings were computed as the ratio of usual weekly earnings to usual weekly hours worked. The samples include employed workers ages 16 and older with positive earnings, working full time or part time, including those for whom earnings were imputed by the Census Bureau . Self-employed workers are excluded because their earnings are not recorded in the CPS.

The COVID-19 outbreak affected data collection efforts by the U.S. government in its surveys, especially in 2020 and 2021, limiting in-person data collection and affecting the response rate. It is possible that some measures of economic outcomes and how they vary across demographic groups are affected by these changes in data collection.

“Mothers” and “fathers” refer to women and men 16 and older who have an own child younger than 18 living in the household.

The U.S. labor force, used interchangeably with the workforce in this analysis, consists of people 16 and older who are either employed or actively looking for work.

White, Black and Asian workers include those who report being only one race and who are not Hispanic. Hispanics are of any race. Asian workers include Pacific Islanders. Other racial and ethnic groups are included in all totals but are not shown separately.

“High school graduate” refers to those who have a high school diploma or its equivalent, such as a General Education Development (GED) certificate, and those who had completed 12th grade, but their diploma status was unclear (those who had finished 12th grade but not received a diploma are excluded). “Some college” include workers with an associate degree and those who attended college but did not obtain a degree.

Younger women – those ages 25 to 34 and early in their work lives – have edged closer to wage parity with men in recent years. Starting in 2007, their earnings have consistently stood at about 90 cents to the dollar or more compared with men of the same age. But even as pay parity might appear in reach for women at the start of their careers, the wage gap tends to increase as they age.

Consider, for example, women who were ages 25 to 34 in 2010. In that year, they earned 92% as much as men their age, compared with 83% for women overall. But by 2022, this group of women, now ages 37 to 46, earned only 84% as much as men of the same age. This pattern repeats itself for groups of women who were ages 25 to 34 in earlier years – say, 2005 or 2000 – and it may well be the future for women entering the workforce now.

A good share of the increase in the gender pay gap takes place when women are between the ages of 35 and 44. In 2022, women ages 25 to 34 earned about 92% as much as men of the same ages, but women ages 35 to 44 and 45 to 54 earned 83% as much. The ratio dropped to 79% among those ages 55 to 64. This general pattern has not changed in at least four decades.

The increase in the pay gap coincides with the age at which women are more likely to have children under 18 at home. In 2022, 40% of employed women ages 25 to 34 had at least one child at home. The same was true for 66% of women ages 35 to 44 but for fewer – 39% – among women ages 45 to 54. Only 6% of employed women ages 55 to 64 had children at home in 2022.

Similarly, the share of employed men with children at home peaks between the ages of 35 to 44, standing at 58% in 2022. This is also when fathers tend to receive higher pay, even as the pay of employed mothers in same age group is unaffected.

Parenthood leads some women to put their careers on hold, whether by choice or necessity, but it has the opposite effect among men. In 2022, 70% of mothers ages 25 to 34 had a job or were looking for one, compared with 84% of women of the same age without children at home. This amounted to the withdrawal of 1.4 million younger mothers from the workforce. Moreover, when they are employed, younger mothers tend to put in a shorter workweek – by two hours per week, on average – than other women their age. Reduced engagement with the workplace among younger mothers is also a long-running phenomenon.

Fathers, however, are more likely to hold a job or be looking for one than men who don’t have children at home, and this is true throughout the prime of their working years , from ages 25 to 54. Among those who do have a job, fathers also work a bit more each week, on average, than men who do not have children at home.

As a result, the gender gap in workplace activity is greater among those who have children at home than among those who do not. For example, among those ages 35 to 44, 94% of fathers are active in the workforce, compared with 75% of mothers – a gap of 19 percentage points. But among those with no children at home in this age group, 84% of men and 78% of women are active in the workforce – a gap of 6 points.

These patterns contribute to the gap in workplace activity between men and women overall. As of 2022, 68% of men ages 16 and older – with or without children at home – are either employed or seeking employment. That compares with 57% of women, a difference of 11 percentage points. This gap was as wide as 24 points in 1982, but it narrowed to 14 points by 2002. Men overall also worked about three hours more per week at a job than women in 2022, on average, down from a gap of about six hours per week in 1982.

Parenthood affects the hourly earnings of employed women and men in unexpected ways. While employed mothers overall appear to earn less than employed women without children at home, the gap is driven mainly by differences in educational attainment between the two groups. Among women with similar levels of education, there is little gap in the earnings of mothers and non-mothers. However, fathers earn more than other workers, including other men without children at home, regardless of education level. This phenomenon – known as the fatherhood wage premium – is one of the main ways that parenthood affects the gender pay gap among employed workers.

Motherhood does have important effects on the potential earnings of women. Women who experience breaks in their careers after becoming mothers sacrifice at least some of their earnings . Some mothers may never work for pay after having children, passing on earnings altogether. But it is difficult to know what the earnings of mothers might have been and, as a result, it is hard to know for certain what the full effect of motherhood is on women’s earnings. Estimates suggest that motherhood may account for much of the current shortfall in the earnings potential of women overall. 1

Among employed men and women, the impact of parenting is felt most among those ages 25 to 54, when they are most likely to have children under 18 at home. In 2022, mothers ages 25 to 34 earned 85% as much as fathers that age, but women without children at home earned 97% as much as fathers. In contrast, employed women ages 35 to 44 – with or without children – both earned about 80% as much as fathers. The table turns for women ages 45 to 54, with mothers earning more than women with no children at home. Among those ages 35 to 44 or 45 to 54, men without children earned only 84% as much as fathers.

But these patterns in the earnings of employed mothers and women with no children at home are influenced greatly by differences in education levels between the two. Among employed women ages 25 to 34, some 61% of women without children at home had a bachelor’s degree or higher level of education in 2022, compared with 37% of mothers. It follows that among women ages 25 to 34, those without children at home (a more highly educated group, on average) earned more than women with at least one child at home. Conversely, employed mothers ages 45 to 54 were more likely than other women to have at least a bachelor’s degree – 58% vs. 42%. For that reason, mothers ages 45 to 54 earned more than women without children. 2

When the earnings of mothers are compared with those of women without children at home who have the same level of education, the differences either narrow or go away. Among employed women ages 25 to 34 with at least a bachelor’s degree, both mothers and women without children at home earned 80% as much as fathers in 2022. Among women ages 25 to 34 with a high school diploma and no further education, mothers earned 79% as much as fathers and women with no children at home earned 84% as much. The narrowing of the gap in earnings of mothers and women without children at home after controlling for education level also extends to other age groups.

Thus, among the employed, the effect of parenthood on the gender pay gap does not seem to be driven by a decrease in mothers’ earnings relative to women without children at home. Instead, the widening of the pay gap with parenthood appears to be driven more by an increase in the earnings of fathers. Fathers ages 25 to 54 not only earn more than mothers the same age, they also earn more than men with no children at home. Nonetheless, men without children at home still earn more than women with or without children at home.

Although there is little gap in the earnings of employed mothers and women with no children at home who have the same level of education, there is a lingering gap in workplace engagement between the two groups. Whether they had at least a bachelor’s degree or were high school graduates, mothers ages 25 to 34 are less likely to hold a job or be looking for one. Similarly, younger mothers on average work fewer hours than women without children at home each week, regardless of their education level. The opposite is true for fathers compared with men without children at home.

The share of women with at least a bachelor’s degree has increased steadily since 1982 – and faster than among men. In 1982, 20% of employed women ages 25 and older had a bachelor’s degree or higher level of education, compared with 26% of employed men. By 2022, 48% of employed women had at least a bachelor’s degree, compared with 41% of men. Still, women did not see the pay gap close to the same extent from 2002 to 2022 as they did from 1982 to 2002.

In part, this may be linked to how the gains from going to college have changed in recent decades, for women and men alike. The college wage premium – the boost in earnings workers get from a college degree – increased rapidly during the 1980s. But the rise in the premium slowed down over time and came to a halt around 2010. This likely reduced the relative growth in the earnings of women.

Although gains in education have raised the average earnings of women and have narrowed the gender pay gap overall, college-educated women are no closer to wage parity with their male counterparts than other women. In 2022, women with at least a bachelor’s degree earned 79% as much as men who were college graduates, and women who were high school graduates earned 81% as much as men with the same level of education. This underscores the challenges faced by women of all education levels in closing the pay gap.

Notably, the gender wage gap has closed more among workers without a four-year college degree than among those who do have a bachelor’s degree or more education. For example, the wage gap for women without a high school diploma narrowed from 62% in 1982 to 83% in 2022 relative to men at the same education level. But it closed only from 69% to 79% among bachelor’s degree holders over the same period. This is because only men with at least a bachelor’s degree experienced positive wage growth from 1982 to 2022; all other men saw their real wages decrease. Meanwhile, the real earnings of women increased regardless of their level of education.

As women have improved their level of education in recent decades, they’ve also increased their share of employment in higher-paying occupations, such as managerial, business and finance, legal, and computer, science and engineering (STEM) occupations. In 1982, women accounted for only 26% of employment in managerial occupations. By 2022, their share had risen to 40%. Women also substantially increased their presence in social, arts and media occupations. Over the same period, the shares of women in several lower-paying fields, such as administrative support jobs and food preparation and serving occupations, fell significantly.

Even so, women are still underrepresented in managerial and STEM occupations – along with construction, repair and production, and transportation occupations – when compared with their share of employment overall. And there has been virtually no change in the degree to which women are over represented in education, health care, and personal care and services occupations – the last of which are lower paying than the average across all occupations. The distribution of women and men across occupations remains one of the drivers of the gender pay gap . But the degree to which this distribution is the result of personal choices or gender stereotypes is not entirely clear.

Looking across racial and ethnic groups, a wide gulf separates the earnings of Black and Hispanic women from the earnings of White men. 3 In 2022, Black women earned 70% as much as White men and Hispanic women earned only 65% as much. The ratio for White women stood at 83%, about the same as the earnings gap overall, while Asian women were closer to parity with White men, making 93% as much.

The pay gap narrowed for all groups of women from 1982 to 2022, but more so for White women than for Black and Hispanic women. The earnings gap for Asian women narrowed by about 17 percentage points from 2002 to 2022, but data for this group is not available for 1982.

To some extent, the gender wage gap varies by race and ethnicity because of differences in education, experience, occupation and other factors that drive the gender wage gap for women overall. But researchers have uncovered new evidence of hiring discrimination against various racial and ethnic groups, along with discrimination against other groups, such as LGBTQ and disabled workers. Discrimination in hiring may feed into differences in earnings by shutting out workers from opportunities.

Changes in the gender pay gap are also shaped by economic factors that sometimes drive men’s and women’s earnings in distinctive ways. Because men and women tend to work in different types of jobs and industries, their earnings may respond differently to external pressures.

More specifically, men’s earnings essentially didn’t change from 1982 to 2002. Potential reasons for that include a more rapid decline in union membership among men, a shift away from jobs calling for more physical skills, and global competition that sharply reduced employment in manufacturing in the 1980s. At the same time, women’s earnings increased substantially as they raised their level of education and shifted toward higher-paying occupations.

But in some ways, the economic climate has proved less favorable for women this century. For reasons that are not entirely clear, women’s employment was slower to recover from the Great Recession of 2007-2009. More recently, the COVID-19 recession took on the moniker “ she-cession ” because of the pressure on jobs disproportionately held by women . Amid a broader slowdown in earnings growth from 2000 to 2015, the increase in women’s earnings from 2002 to 2022 was not much greater than the increase in men’s earnings, limiting the closure in the gender pay gap over the period.

Higher education, a shift to higher-paying occupations and more labor market experience have helped women narrow the gender pay gap since 1982. But even as women have continued to outpace men in educational attainment, the pay gap has been stuck in a holding pattern since 2002, ranging from 80 to 85 cents to the dollar.

More sustained progress in closing the pay gap may depend on deeper changes in societal and cultural norms and in workplace flexibility that affect how men and women balance their careers and family lives . Even in countries that have taken the lead in implementing family-friendly policies, such as Denmark, parenthood continues to drive a significant wedge in the earnings of men and women. New research suggests that family-friendly policies in the U.S. may be keeping the pay gap from closing. Gender stereotypes and discrimination, though difficult to quantify, also appear to be among the “last-mile” hurdles impeding further progress.

What is the gender wage gap in your metropolitan area? Find out with our pay gap calculator

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Gender Disparities in Flexible Working Arrangements and Wage Inequality

41 Pages Posted: 25 Jun 2024

University of Essex - Institute for Social and Economic Research (ISER)

University of Essex - Department of Economics

Date Written: June 16, 2024

Flexible working arrangements (FWAs) have been proposed to narrow the gender wage gap, but our findings suggest a different story. Over the last decade in the UK, full-time employed males are more likely to transition from traditional to flexi-time working arrangements, possibly due to a lower transition wage penalty. In contrast, full-time employed females more frequently switch to term-time working, which may help them reduce the total working hours and better align with childcare responsibilities. Although it appears logical for male and female to choose different FWAs based on their preferences, the varying transition wage penalties among the FWAs inadvertently contribute to increasing the gender wage gap. Specifically, the transition wage penalty for females transitioning to termtime working is twice as large as the penalty for males transitioning to flexi-time working. Moreover, given the trend of males transitioning to high-skill flexi-time working without any transition wage penalty, and females filling low-skill term-time working with a substantial transition wage penalty of about 10%, the gender wage gap is further magnified.

Keywords: FWAs, Term-time working, Flexi-time working Gender Wage Gap, Labour Market

Suggested Citation: Suggested Citation

JINGYI LI (Contact Author)

University of essex - institute for social and economic research (iser) ( email ).

Wivenhoe Park Colchester CO4 3SQ United Kingdom

University of Essex - Department of Economics ( email )

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• Advancing research on gender inequality and energy transitions through international collaboration

Posted on June 13, 2024

Research teams from the University of Pretoria’s (UP’s) Energy Economics Research Unit in the Faculty of Economic and Management Sciences and Curtin University’s School of Accounting, Economics and Finance in the Faculty of Business and Law, as well as its Institute for Energy Transition in the Faculty of Science and Engineering, have embarked on a significant collaborative research initiative focused on gender equality, energy transition, and energy poverty.

This partnership aims to combine the strengths of both institutions to explore critical issues and foster mutual learning and advancement in these fields. The primary objective of this partnership is to deepen the understanding of gender disparities in the context of energy poverty and transitions. This research is particularly timely, as the world faces the challenges of achieving gender equality and sustainable energy solutions.

Preliminary findings from the collaboration indicate that gender inequality manifests differently in South Africa and Australia due to varied socioeconomic contexts and historical backgrounds.

In South Africa, numerous policies were developed to promote gender equality. One such policy is the Employment Equity Act of 1998 , which was designed to ensure equal opportunities for previously disadvantaged groups, including women. Such policies have proven to be crucial in a country such as South Africa, which is still grappling with the legacy of apartheid and deep inequalities. In Australia, the Workplace Gender Equality Act 2012 aims to address gender inequality with a special focus on corporate gender inclusion, equitable pay, and leadership representation, reflecting its distinct socio-economic landscape.

Drawing on similarities and progress in the gender equality efforts of both countries, the research details Australia’s significant progress in corporate inclusivity and economic participation and South Africa's gender equality efforts in combating gender-based violence and increasing women's economic involvement through targeted policies. The researchers note that both countries have valuable lessons to offer, and this collaboration will harness key insights to foster gender-inclusive economic growth in both contexts.

These ongoing research efforts also explore the interaction between gender inequality and energy poverty. Prof Roula Inglesi-Lotz, Head of the Energy Research Economics Unit at UP and member of the research teams, says that gender inequality worsens the impacts of energy poverty, particularly for women who often bear the burden of energy deficits in low-income households.

“Energy transitions present both opportunities and challenges for gender equality. Women, especially in rural areas, are disproportionately affected by energy poverty due to their roles in household energy management and limited access to resources and decision-making processes,” says Prof Inglesi-Lotz. She adds that the collaborative research aims to explore how the energy transition can be managed to mitigate these inequalities and ensure that women benefit equally from sustainable energy solutions.

Through this collaboration the research team, which includes UP’s Roula Inglesi-Lotz, Jessika Bohlmann, Anneri Oosthuizen, Heinrich Bohlmann, and Margaret Chitiga-Mabugu, and researchers from the Curtin University team, namely Helen Cabalu, Julian Inchauspe, Hiroaki Suenaga, Khuong Truong, and Bishal Bharadwaj, will also apply the Computable General Equilibrium (CGE) modelling to analyse the economic impacts of gender equality and energy policies.

Economic inequalities such as unequal distribution of wealth and wide income gaps are huge drivers of gender inequality and studying the economic impact of gender equality is imperative. “The CGE models are powerful tools that simulate how changes in policy, technology, or other external factors affect an economy. By incorporating gender-specific data and variables, we will be able to assess the broader economic implications of gender-focused policies and energy transitions, providing a framework for policymaking, and make a positive contribution towards gender parity in both countries,” says Prof Helen Cabalu from Curtin University.

The UP-Curtin University collaboration represents a significant step towards addressing gender inequality and energy transitions. By combining resources and expertise, the partnership aims to produce actionable insights and policy recommendations to drive meaningful change in South Africa and Australia. Demonstrating the commitment of both teams, a joint research proposal is being prepared for Australia Africa Universities Network funding to support the research efforts and strengthen the scientific ties between the two entities.

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Gender equality: Why is it still up for debate?

By Federica Dall’Arche | June 18, 2024

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Last week, reports emerged that the G7 leaders meeting in Italy were grappling with issues related to gender parity, including the recognition of abortion as a fundamental right. Unlike last year, when there was a clear and direct reference to “safe and legal abortion and post abortion care,” this year’s final statement did not include the word “abortion” and simply reiterated a general commitment to universal healthcare access for women, “including sexual and reproductive health and rights for all.”

This sad backtracking on women’s rights and gender issues is not unprecedented. Over the past few years, major multilateral fora, including those focused on nuclear issues, have seen unnecessarily protracted negotiations over the inclusion of gender-equality language in documents and resolutions.

For instance, during the 2023 Preparatory Committee of the Nuclear Non-Proliferation Treaty, countries spent hours debating the opportunity to insert paragraphs on gender balance, with some contending that encouraging the meaningful participation of women and minorities in negotiations was distracting and not pertinent to the discussion. A number of studies have already refuted this argument , demonstrating that the inclusion of women and minorities in negotiating processes brings more durable and effective results.

Similarly, during the International Atomic Energy Agency’s last General Conference in September 2023, Iran’s delegation held others hostage until 3:00 in the morning, refusing to adopt the resolutions being discussed unless all references to gender issues were removed. The situation became so absurd that, in desperation and exhaustion, the other delegations agreed to eliminate the references just to pass the resolutions, only to then take the floor and individually condemn this compromise as deplorable.

A similar scenario also played out recently at the International Conference on Nuclear Security 2024, where the same delegation opposed, this time unsuccessfully, the adoption of language relating to gender equality, language that had already been agreed to in the conference’s 2020 ministerial declaration .

Can nuclear negotiators still afford to waste time arguing over issues that are so fundamental that they should be undebatable and already considered set in stone? Is there really a need to approach topics like gender equality with “sensitivity,” fearing that any mention of female empowerment or gender diversity could be problematic? Shouldn’t negotiators already be at the point of discussing how to preserve and strengthen those few hard-won rights, with the aim of expanding them and making negotiation processes more inclusive for everyone’s benefit?

The mere fact that these issues remain contentious underscores a broader reluctance to fully embrace progressive values. This hesitation is not just a setback for minorities and women’s rights but for human rights overall. The broad, troubling pattern of regression in global commitments to gender equality is concerning and disheartening. The persistent reluctance to firmly endorse and promote gender parity and women and minorities’ rights undermines progress and casts a shadow over future diplomatic efforts. Equally dangerous is the willingness to accept blackmail and turn a blind eye to discrimination in order to pass a resolution.

And what to say when the leaders of the seven most powerful (and like-minded) nations are locked in negotiations over issues that should already be universally accepted? This sets a terrible, defeatist precedent.

The time for debating has passed. The international community must recognize that gender equality, in all its shapes and forms, is a non-negotiable issue and a fundamental right that should be unequivocally upheld. The world needs decisive actions and an unwavering commitment, not steps that take us back decades.

The international community must move beyond these regressive negotiations and recognize that gender equality is intrinsic to the health and progress of societies worldwide. It is high time for global leaders to demonstrate foresight, ensuring that issues of gender and women’s rights are integrated seamlessly into all facets of policy and diplomacy. This is not merely about women’s rights; it is about building a more just, equitable, and prosperous world for all.

Together, we make the world safer.

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Keywords: G7 , gender equality , women Topics: Nuclear Weapons , Opinion

Federica Dall’Arche

Federica Dall’Arche is a Senior Research Associate with the Vienna Center for Disarmament and Non-Proliferation (VCDNP) and a Policy Advisor to the... Read More

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