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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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Gender equality through school: providing a safe and inclusive learning environment

Credit: Khumais

Boys and girls must feel welcome in a safe and secure learning environment. Governments, schools, teachers and students all have a part to play in ensuring that schools are free of violence and discrimination and provide a gender-sensitive, good-quality education (Figure 16). To achieve this, governments can develop nondiscriminatory curricula, facilitate teacher education and make sure sanitation facilities are adequate. Schools are responsible for addressing school-related violence and providing comprehensive health education. Teachers should follow professional norms regarding appropriate disciplinary practices and provide unbiased instruction. And students must behave in a non-violent, inclusive way.

FIGURE 16: Who is responsible for what in ensuring gender equality through school

NATIONAL AND SCHOOL POLICIES SHOULD TARGET SCHOOL-RELATED VIOLENCE

School-related violence is a pervasive issue in some countries. Violence can be physical, psychological or sexual; it can occur on school grounds, in transit or in cyberspace; and it may include bullying, corporal punishment, verbal and emotional abuse, intimidation, sexual harassment and assault, gang activity and the presence of weapons among students. It is often perpetrated as a result of gender norms and stereotypes and enforced by unequal power dynamics. It was estimated that, globally, approximately 246 million girls and boys experienced some form of school-related violence in 2014 (UNGEI, 2017).

While the vast majority of teachers are caring professionals who put the best interest of their students first, some abuse their position of power. In West and Central African countries, sexual abuse and exploitation by teachers, school staff and others in position of authority is common practice (Antonowicz, 2010). Sexual violence happens frequently in many schools in South Africa but crimes are rarely investigated and prosecution rates are low (HRW, 2016). In the United Republic of Tanzania, over half of girls and boys who had experienced physical abuse identified a teacher as an abuser (HakiElimu, 2017). In Samoa, 41% of children surveyed in 2013 indicated that they had experienced violence at the hands of their teacher (Office of the Ombudsman and NHRI Samoa, 2015).

Some countries, including Chile, Fiji, Finland, Peru, the Republic of Korea and Sweden, have passed legislation on violence in educational institutions (UNESCO, 2015c, 2017b). The 2013 Anti-Bullying Act in the Philippines requires all schools to adopt policies to prevent and address acts of bullying. It explicitly refers to gender-based bullying, which is described as any act that humiliates or excludes a person on the basis of perceived or actual sexual orientation and gender identity. Yet in the following year just 38% of schools had adopted child protection or anti-bullying policies. The low rate highlighted a lack of communication and a weak monitoring framework.

The Department of Education responded by issuing a memorandum to clarify submission requirements and is working to build implementation capacity (UNESCO, 2015c). Teacher education and codes of conduct can help change teacher attitudes and behaviours. In South Sudan, the UNICEF Communities Care programme engaged with teachers to challenge norms that enable sexual violence and brought about some shifts in teacher attitudes and behaviours (UNGEI, 2017). The Doorways programme in Burkina Faso, Ghana and Malawi trained upper primary and lower secondary school teachers on children’s rights and responsibilities, alternative teaching practices, basic counselling and listening skills, awareness of sexual harassment at school and teacher code of conduct (DevTech Systems, 2008; Queen et al., 2015). The Communication for Change project trained teachers in the Democratic Republic of Congo to act as first responders when they witnessed school-related gender-based violence. The share of participating teachers who were aware of how to prevent gender-based violence in school increased from 56% to 95% after the intervention (C-Change, 2013). Teacher codes of conduct are generally written by teacher unions to guide their members. They promote professional accountability by giving peers a way to hold each other to account for adhering to norms (Poisson, 2009). A recent survey by Education International found that teacher codes of conduct were present in 26 of 50 countries surveyed (EI, 2017). A separate review of 24 countries found that over half of teachers believed the code of conduct had a very significant impact in reducing misconduct (McKelvie-Sebileau, 2011).

Teacher codes of conduct can be effective in reducing school-related gender-based violence if they explicitly refer to violence and abuse and include clear breach reporting and enforcement protocols. Mongolia’s Teachers Code of Ethics for General Education Schools and Kindergartens contains a section on teacher ethical norms, which specifies that teachers should protect student’s health and well-being, including from sexual abuse, and should ensure equal participation without discrimination, including on the basis of sex (Steiner-Khamsi and Batjargal, 2017). Kenya has a range of penalties for breach of professional conduct, including suspension and interdiction. Teachers convicted of sexual offences against students are deregistered (Kenya Teachers Service Commission, 2013). However, even when they exist, these codes are not always successfully disseminated.

The implementation of Ethiopia’s Code of Conduct on Prevention of School-Related Gender-Based Violence in Schools has been patchy. Some school staff reportedly lacked commitment to or a sense of ownership of the code (Parkes et al., 2017). Students are also responsible for ensuring their behaviour does not impinge on others’ right to education (UNICEF and UNESCO, 2007). Schools are increasingly implementing prevention-oriented models to teach students acceptable strategies for interacting with their peers (Horner et al., 2010). These models set clear guidelines for students and define consistent instruction, record-keeping and follow-up procedures for teachers and other adults, such as administrative and custodial staff, playground supervisors, cafeteria workers and parent and community volunteers (Lewis et al., 2014).

Students are more likely to show positive social behaviours and reduce negative behaviours after the implementation of such programmes (Durlak et al., 2011). There is also increasing evidence linking improved social skills to academic achievement (Horner et al., 2010). While these codes of conduct are mostly used in Europe and North America (Sklad et al., 2012), Asian countries such as Singapore have also begun adopting them (Durlak et al., 2011).

GENDER-SENSITIVE FACILITIES CAN INCREASE THE TIME GIRLS SPEND IN SCHOOL

Inadequate sanitation facilities for girls during menstruation can have a negative effect on school attendance. Among 145 countries with data, primary school access to basic sanitation facilities was below 50% in 28 countries, 17 of them in sub-Saharan Africa. Only limited data are available on whether girls have separate facilities, let alone whether the facilities are functional or well maintained. In only 9 of 44 countries did more than 75% of primary schools have single-sex facilities; in Benin and Comoros, under 5% of schools had single-sex facilities. An estimated one in ten African girls miss school during menstruation (HRW, 2016).

Regulations requiring separate toilet facilities for boys and girls can help. Yet analysis of regulations in 71 education systems by the GEM Report team shows that only 61% required sex-separate facilities for public schools and 66% for private schools (UNESCO, 2017a). Regulations alone are not sufficient to ensure facilities are available. Although separate sanitation facilities are mandated by regulations in Bangladesh, a survey found that in 2014 only 12% of girls reported access to female-only toilets with water and soap available. Combined with a lack of waste bins, the poor facilities contributed to girls missing school during menstruation. Two in five girls were absent during menstruation for an average of three days during each cycle (Alam et al., 2014). Girls in Haiti have reported having to go home to change the materials they use to manage their menstruation, resulting in lost instructional time (HRW, 2016).

School inspections play a key role in ensuring that schools adhere to regulations. However, inspections do not always take gender issues into account. In Sweden, the school inspectorate takes gender equality into consideration (Heikkilä, 2016) and in the United Kingdom inspectors evaluate equal opportunities in the classroom and whether the school provides an inclusive environment for boys and girls (Rogers, 2014). By contrast, gender issues are rarely included in inspections in Bangladesh, with sex-separate sanitation facilities only occasionally observed (Chatterley et al., 2014). In any case, inspectorates are severely constrained by human resource shortages in many poor countries. For instance, in Mvomero district, United Republic of Tanzania, although 80% of schools are supposed to be inspected annually, only one in five schools were inspected in 2013 (Holvoet, 2015).

GENDER EQUALITY IN EDUCATION REQUIRES UNBIASED CURRICULA AND TEXTBOOKS

To facilitate gender-responsive instruction, curricula and textbooks should be free from gender bias and promote equality in gender relations. How students perceive themselves and how they project their role in society is shaped to some extent by what they experience at school, including by how they are represented in textbooks.

Comprehensive sexuality education

School-based comprehensive sexuality education programmes equip children and young people with empowering knowledge, skills and attitudes. In many contexts, programmes focus almost exclusively on HIV as a motivator to encourage students to delay sexual activity and have fewer sexual partners and less frequent sexual contacts (Fonner et al., 2014). However, international guidelines and standards, along with emerging evidence about factors influencing programme effectiveness, increasingly stress the value of a comprehensive approach centred on gender and human rights (Ketting and Winkelmann, 2013). A review of 22 studies showed that comprehensive sexuality education programmes that addressed gender power relations were five times more likely to be effective in reducing rates of sexually transmitted infections and unintended pregnancy than those that did not (Haberland, 2015).

In 2009, UNESCO and other UN agencies published the revised International Technical Guidance on Sexual Education to provide an evidence-based, age-appropriate set of topics and learning objectives for comprehensive sexuality education programmes for students aged 5 to 18 (UNESCO, 2009). In 2010, the International Planned Parenthood Federation adopted a rights-based approach in its Framework for Comprehensive Sexuality Education, and the WHO Regional Office for Europe produced Standards for Sexuality Education in Europe as a framework for policy-makers and education and health authorities (WHO Regional Office for Europe and BZgA, 2010). Nearly ten years after the original report, UNESCO’s revised guidance expands coverage to both school-based and out-of-school programmes with a strong focus on human rights, gender equality and skills building. The guidance can act as both an advocacy and accountability tool for programme implementers, NGOs, and youth (UNESCO, 2018).

A 2015 review of the status of comprehensive sexuality education in 48 countries found that almost 80% had supportive policies or strategies. Despite this political will, a significant gap remained between policies and implementation (UNESCO, 2015b). In western and central Africa, UNESCO’s Sexuality Education Review and Assessment Tool was used to assess 10 out of 13 national sexuality education programmes. Fewer than half the curricula met global standards for required content for all age groups, with gender and social norms identified as the weakest areas (Herat et al., 2014; UNESCO and UNFPA, 2012).

Recent studies in Ghana and Kenya provided evidence of gaps in content and delivery. The Kenya study covered 78 public and private secondary schools. While 75% of teachers reported teaching all topics of a comprehensive sexuality education programme, only 2% of students reported learning all topics. Only 20% learned about types of contraceptive methods, and even fewer learned how to use and where to get them (Figure 17). In some cases, incomplete and sometimes inaccurate information was taught. Almost 60% of teachers incorrectly taught that condoms alone were not effective in pregnancy prevention (Sidze et al., 2017). Moreover, 71% of teachers emphasized abstinence as the best or only method to prevent pregnancy and sexually transmitted diseases, and most depicted sex as dangerous or immoral for young people.

FIGURE 17: In Kenya, only one in five students reported learning about contraceptive methods

Barriers to effective implementation of comprehensive programmes include lack of well-trained teachers, poor support of schools, weak regulation and supervision of policy implementation, opposition from religious and conservative groups, and culturally imposed silence about sexuality. In the Ghana study, 77% of teachers reported lacking resources or teaching materials. A smaller share reported conflicts, embarrassment or opposition from the community or students on moral or religious grounds (Awusabo-Asare et al., 2017).

Textbooks increasingly cover gender issues but progress is insufficient

Self-reporting from governments in Cuba, Estonia, Finland, Mexico, Nicaragua, Slovenia and Spain indicates that gender equality is integrated into national school curricula (UN Human Rights Council, 2017). The Ministry of Education, Culture, Science equality as one of the key values in its new core curriculum (Steiner-Khamsi and Batjargal, 2017).

Over the past 50 years, mentions of women and women’s rights in textbooks have increased (Bromley et al., 2016; Nakagawa and Wotipka, 2016). Nevertheless, in many countries women remain under-represented or, when included, are relegated to traditional roles such as housework and childcare (UNESCO, 2016a). Women accounted for only 37% of images in primary and secondary school textbooks in the Islamic Republic of

Iran in 2006–2007 (Paivandi, 2008) and across nine Jordanian secondary school history books only 21% of images were female. From Sweden to the Syrian Arab Republic, despite governments explicitly identifying the importance of gender equality in textbooks, women and men were still routinely portrayed in a stereotypical manner (Bromley et al., 2016).

Both governments and civil society can act to reduce textbook biases. The Human Rights Council has made it clear that ‘states have an obligation to periodically review and revise curricula, textbooks, programmes and teaching methods to ensure that they do not perpetuate harmful gender stereotypes’ (UN Human Rights Council, 2017). Some states include an explicit gender analysis as part of their textbook and review process. In Viet Nam, the National Strategy on Gender Equality for 2011–2020 specifies that textbook content should be reviewed for gender stereotypes (UNESCO, 2016c). In Ghana, the Textbook Development and Distribution Policy for Pre-tertiary Education included gender sensitivity as one of the main criteria for evaluating textbook proposals (Ghana MOE, 2001). By contrast, the Pakistan National Textbook and Learning Materials Policy and Plan of Action does not mention gender as a criterion of textbook review, referring instead to ‘quality of content, presentation, language and specific provincial coverage’ (Pakistan MOE, 2007).

Textbook monitoring by parents and civil society can be effective. In South Africa, a parent’s question posted on Facebook in July 2016 inspired a petition that ultimately led the textbook publisher to amend and issue an apology for content that promoted blaming the victim for sexual assault (Davies, 2016).

TEACHER EDUCATION CAN HELP ADDRESS UNDERLYING GENDER BIASES

Aside from the influence of official curricula and textbooks, teacher practice in the classroom is partly shaped by their assumptions and stereotypes about gender, which in turn affects students’ beliefs and learning. In Australia, female teachers felt particularly responsible for boys’ underachievement relative to male teachers (Hodgetts, 2010). In the United States, anxiety expressed by female mathematics teachers was associated with female students’ belief in the stereotype that boys are better at mathematics (Beilock et al., 2010).

Teacher education can assist teachers to reflect on and overcome their biases. Formal initiatives in teacher education with a focus on gender have taken place in Italy, the Republic of Moldova and Sudan (OHCHR, 2015). In Spain, the University of Oviedo requires teacher candidates to complete a mandatory course on gender and education (Bourn et al., 2017). In Ankara, Turkey preservice teachers that took a semester long course on gender equity in education developed more gender sensitive attitudes (Erden, 2009).

In low and middle income countries, teacher education programmes are often externally funded. The UNESCO Regional Bureau in Bangkok has recently funded a five-year project, Enhancing Girls’ and Women’s Right to Quality Education through Gender Sensitive Policy Making, Teacher Development and Pedagogy, which focuses on training participants from Cambodia, Myanmar, Nepal, Sri Lanka and Uzbekistan to conduct gender assessments in teacher education (UNESCO, 2016b).

In Karamoja region, Uganda, the UNICEF Gender Socialization in Schools programme trained over 1,000 primary school teachers to enhance their knowledge, attitudes and practices related to gender equality promotion and conflict resolution. The initial training lasted for two days and was followed by two refresher training sessions. A subset of teachers received reinforcing text messages reminding them of examples of good practice. However, while the programme improved teachers’ knowledge and attitudes on gender equality, classroom practices did not become more gender-responsive (American Institutes for Research and UNICEF, 2016; El-Bushra and Smith, 2016).

Nigeria updated its teacher education curriculum in 2012, in part to address gender issues (Unterhalter et al., 2015). While a policy is in place to ensure minimum standards on gender equality, a survey of 4,500 student teachers in 2014 showed that very few had an in-depth understanding of what gender equality in education might mean, while many were hostile to women’s participation in public life and any form of social engagement. Among respondents employed following graduation, teachers reported receiving no professional development on gender, a point echoed by other colleagues at the schools where they taught. Teachers who had the most egalitarian ideas about gender reported themselves the most frustrated of respondents and said that they were unable to put their ideas into practice (Unterhalter et al., 2017).

The examples from Uganda and Nigeria highlight some of the challenges in changing teacher practices. To be effective, teacher education and training need to be continuous to recognize the time it takes for such practices to change. They also need to incorporate other stakeholders to help build a more supportive environment.

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Gender Stereotypes and Discrimination: How Sexism Impacts Development

Affiliations.

• 1 University of Kentucky, Lexington, KY, United States. Electronic address: [email protected].
• 2 University of Kentucky, Lexington, KY, United States.
• PMID: 26956071
• DOI: 10.1016/bs.acdb.2015.11.001

In this chapter, we summarize and integrate some of the latest developmental science research on gender stereotypes and discrimination in childhood and adolescence. We focus on five forms of sexism: (a) stereotypes and discrimination against boys regarding their school behaviors and disciplinary actions; (b) stereotypes and discrimination against girls in science, technology, engineering, and mathematics (STEM) domains; (c) stereotypes and discrimination in sports; (d) peer gendered harassment, including sexual harassment and teasing because of gender atypicality or nonconformity; and (e) sexualized gender stereotypes that sexually objectify girls and assume boys are sexually voracious. First, we document each type of sexism and examine children's awareness and perceptions of that bias, including their own self-reports and attributions. We examine the implications of this sexism for children and adolescents' developmental health (i.e., social, academic, and psychological well-being). We then draw connections between these various areas of research, focusing on how these different forms of sexism interact to reduce equity and justice among children and negatively impact positive developmental outcomes. The chapter concludes with suggestions for future research.

Keywords: Discrimination; Gender stereotypes; STEM; Sexual harassment; Sexualization.

© 2016 Elsevier Inc. All rights reserved.

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The Literature Review of Gender Discriminations in Schools, Families, and Workplaces

• Published in Proceedings of the 2nd… 20 June 2021
• Proceedings of the 2021 2nd International Conference on Mental Health and Humanities Education（ICMHHE 2021）

17 References

Feminist organizing around gender discrimination lawsuits in higher education, gender discrimination and the workplace: an examination of rational bias theory, unequal depression for equal work how the wage gap explains gendered disparities in mood disorders., gender discrimination, victimisation and women's mental health., effects of the one-child family policy on second and third births in hebei, shaanxi and shanghai, son preference in anhui province china., gender of children, bargaining power, and intrahousehold resource allocation in china, failing at fairness : how our schools cheat girls, gender: psychological perspectives, one quarter of humanity: malthusian mythology and chinese realities, 1700-2000, related papers.

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A new generation: 25 years of efforts for gender equality in education

2020 Gender Report

Credit: Johanna de Tessières / HI

KEY MESSAGES

Over the past 25 years, girls’ access to education has dramatically improved, closing a four percentage point gap in enrolment ratios. In addition, girls have reached or overtaken boys in terms of learning outcomes in reading and mathematics.

However, girls, particularly those with intersecting disadvantages in terms of poverty or disability, still face the worst forms of acute exclusion in the world’s poorest countries.

Education is a critical lever for women’s rights. A focus on education, particularly that of girls, can break the cycle of disadvantage between generations, as children tend to acquire more education than their parents. At the same time, the extent to which parental education determines children’s education, while declining slowly, is still high,which calls for interventions to prevent inequality from persisting.

Gender equality in education cannot be achieved by the education sector alone.Residual negative gender norms in society bring gender bias in education, influencing teachers’ attitudes, subject and career choices, and affect women’s opportunities later in life.

Countries need to focus on making schools more inclusive for all students, whatever their background, ability or identity. This requires better sanitation facilities in schools,greater attention to school-related gender-based violence, including online, and policies encouraging pregnant girls to go back to school. The message of inclusion resonates strongly at a time when COVID-19 has exacerbated inequality.

Inside the Report

• Introduction
• Laws and Policies
• Partnerships

Key findings

There has been a generational leap in access to education for girls over the past 25 years.„.

• Since 1995, the number of girls enrolled in primary and secondary school has risen by 180 million.„
• Globally, equal numbers of girls and boys were enrolled in primary and secondary education in 2018, whereas in 1995 around 90 girls were enrolled for every 100 boys; significant increases in Southern Asia, and India in particular, drove this growth.„
• Female enrolment tripled in tertiary education; at the country level, gender disparity at men’s expense exists in 74% of the countries with data.„
• Between 1995 and 2018, the percentage of countries with gender parity in education rose from 56% to 65% in primary, from 45% to 51% in lower secondary and from 13% to 24% in upper secondary education.„
• Among the 56 countries with data for 2000–18, primary completion rates improved faster for girls than boys. In one-third of the 86 countries with 2013–18 data, girls were more likely to complete primary school than boys.

Girls’ learning outcomes are improving faster than boys’, but new gender gaps are developing in digital literacy skills and a majority of illiterate adults are still women.„

• Girls’ advantage over boys in reading widened in more than half of the 38 countries and territories that took part in PISA in both 2000 and 2018. Girls now perform as well as boys in mathematics in over half of countries and do better than boys in one-quarter of countries.„
• Disparity in ICT skills is emerging. Among 10 low- and middle-income countries with detailed data, women are less likely to have used a basic arithmetic formula in a spreadsheet in the 7 poorest countries, while parity exists in the 3 richest countries.„
• The share of women among illiterate youth has decreased since around 2005, especially in Eastern and South-eastern Asia. But the share of illiterate adult women has remained constant for the past 20 years at around 63%. And in 2018, fewer than 80 adult women were literate for every 100 adult men in 12 countries, most of them in sub-Saharan Africa.

Despite progress, girls continue to face the worst forms of exclusion.„

• Globally, three-quarters of children of primary school age who may never set foot in school are girls.„In 2018, fewer than 90 girls were enrolled for every 100 boys in 7 countries in primary, 14 countries in lower secondary and 23 countries in upper secondary education.„
• Fewer than 80 girls for every 100 boys completed primary in 4 countries, lower secondary in 15 countries and upper secondary in 22 countries.

Gender interacts with other disadvantages to exacerbate exclusion from education.„

• In at least 20 countries, hardly any poor, rural young woman complete upper secondary school.„
• In 24 countries participating in PISA 2018, over 70% of poor boys did not achieve the minimum reading proficiency level.„
• The most disadvantaged women are further left behind in terms of literacy skills. In 59 countries, women aged 15 to 49 from the poorest households are 4 times more likely to be illiterate than those from the richest households.„
• Women with disabilities tend to be particularly disadvantaged. In Mozambique, 49% of men with disabilities can read and write, compared with 17% of women with disabilities.

Some subjects are still male-dominated, which affects equality in work and adult learning opportunities.„

• Globally, the share of females in TVET enrolment declined from 45% in 1995 to 42% in 2018.
• Globally, the percentage of females studying engineering, manufacturing and construction or ICT is below 25% in over two-thirds of countries.„
• Gender segregation by field of study constrains girls’ choice of career. In OECD countries only 14% of girls who were top performers in science or mathematics expected to work in science and engineering, compared with 26% of top-performing boys. Women account for less than 1% of the applicant pool for technical jobs in artificial intelligence and data science in Silicon Valley.„
• Previous learning experience, personal disposition towards learning, life circumstances and structural barriers all have an impact on whether adults participate in education. Women in European countries are almost twice as likely as men not to participate in adult education for family-related reasons.

Policy interventions can reduce the chance of education disadvantage being passed to the next generation.„

• The gender gap in the share of children who have attained a higher education level than their parents – absolute intergenerational mobility – decreased for each 10-year cohort born from the 1940s to the 1980s. Globally, a slightly higher percentage of daughters (52%) than sons (51%) had higher education levels than their parents in the 1980s cohort, although mobility is still lower for girls in low- and lower-middle income countries.
• Children’s education relies less and less on the education of their parents – relative intergenerational mobility – although girls’ years of schooling are still more aligned to their parents’ than boys’, and particularly to that of their mothers.„
• Girls are more influenced by their mothers’ than their fathers’ education in low- and middle-income countries. In the cohort of girls born in the 1980s, an extra year of maternal education leads to seven extra months of education in low-income countries.„
• Policy interventions can reduce the extent to which education disadvantage is passed on to the next generation. Potentially successful interventions include quotas in tertiary enrolment for vulnerable groups, scholarships and cash transfers, and removal of user fees in primary education. The correlation between mothers’ education and their children’s fell by 12.5% when user fees were lifted.

Increasing numbers of laws and policies promotes gender equality in education on paper, but still often fails in practice.„

• Globally, 105 countries have ratified the 1960 UNESCO Convention Against Discrimination in Education and 23 have signed since 1995.„
• Education ministries have sponsored laws promoting gender equality in 50% of countries and policies to that effect in 42%. About 46% of countries have legislation and 58% policies promoting gender equality in education under other ministries’ leadership.

Strong political commitment has reduced early pregnancy rates and provided education for pregnant girls and young parents.„

• The prevalence of early pregnancy fell by one-third between 1995 and 2020, from some 60 to 40 births per 1,000 women aged 15 to 19. „The share of women aged 20 to 24 who married before age 18, a factor contributing to early pregnancy, fell from 25% in 1995 to 20% in 2013–19.
• „In Argentina, a holistic approach combining two laws, flexible learning programmes, nurseries in schools, re-entry programmes for vulnerable children and non-formal alternative secondary education programmes has helped protect pregnant girls’ and young parents’ right to education; meanwhile the adolescent fertility rate fell from 61 in 1995 to 49 in 2018.
• Activism and accountability mechanisms can help protect pregnant girls’ right to go to school. In Sierra Leone, official policy in 2015 banned pregnant girls from school. In 2019, after several years of activism, the ban was ruled discriminatory by the Court of Justice of the Economic Community of West African States and was lifted.„
• Multisectoral cooperation and ties between government departments help address the intersecting needs of many girls and young women of child-bearing age. In the United Kingdom, measures to address these needs included a protective legal framework, a teenage pregnancy unit and strategy, better childcare, awareness-raising programmes, advocacy aimed at young men, and support from the non-government sector. These measures helped reduce the number of conceptions per 1,000 15- to 17-year-olds from 42 to 18 between 1995 and 2017.

The prevalence of early pregnancy can be linked to lack of access to sexual and reproductive health education.„

• Ambiguous language in laws and weak accountability in enforcement can enable schools to avoid teaching comprehensive sexuality education. Argentina made the subject compulsory in 2006, but only 16 out of 23 provinces adhered to the policy or passed their own legislation on the subject, likely because of opposition among religious schools.
• „In Sierra Leone, the number of married and sexually active 15- to 19-year-old women using contraception doubled from 10% to 20% between 2008 and 2013, but dropped to just 14% in 2019, possibly due to a 2008 decision to end comprehensive sexuality education in schools.„
• Clear guidance on sexuality education can help. In the United Kingdom, relationship and sex education was made compulsory in all secondary schools from 2019. Guides were published to help schools inform and work with parents to overcome resistance.

Gender-responsive school counselling could improve gender balance in subject choices.

• „Counsellors often promote gender stereotypes, which affect students’ education and career choices. A survey of secondary school counsellors in the US state of Wisconsin found that, even though school counsellors believed female students were more likely to succeed in mathematics than males, they were less likely to recommend mathematics over English to female students.„
• Clear gender-responsive strategies are needed to redress the balance. Botswana has a comprehensive guidance and counselling programme and a Gender Reference Committee but lacks an overall framework on ways to help girls and women who wish to pursue TVET and STEM subjects.„
• A lack of gender-specific measures in counselling and career advice at the state level in Germany means the increase of the share of girls in STEM subjects between 1999 and 2017 is more likely related to an online information hub on STEM for girls and collaboration between ministries of women, youth, labour and social affairs.„
• National strategies on TVET and STEM in the United Arab Emirates make no reference to gender or gender-responsive counselling practices and women are still under-represented in these fields of study.

Countries still produce textbooks with gender-based stereotypes and limited references to women and girls.„

• The share of females in secondary school English language textbook text and images was 44% in Malaysia and Indonesia, 37% in Bangladesh and 24% in Punjab province, Pakistan.„
• Partnerships and participatory processes at all phases of textbook development and delivery need to be in place for successful reform.
• „In Comoros, textbooks still contain gender stereotypes, partly because textbook developers have not received training or sensitization.„
• Ethiopia has shown commitment to gender equality in education, including through textbook revision. Yet stereotypes remain, which can be attributed to women being excluded from textbook review and development, lack of training on processes, and insufficient commitment from authorities in challenging discriminatory norms.„
• Nepal has made materials more gender-sensitive by introducing guidance for gender-responsive learning materials and a gender expert to review content, as well as gender audits and formal reviews of all materials every five years, although some of these measures have not been fully implemented.„
• In Europe, 23 out of 49 countries do not address sexual orientation and gender identity explicitly in their curricula.

Gender inequality exists in teacher recruitment and promotion to leadership, and more gender-sensitive teacher education is needed.„

• Women make up 94% of teachers in pre-primary, 66% of teachers in primary, 54% in secondary and 43% in tertiary education.„
• There is a glass ceiling for women trying to attain leadership positions. In a case study of schools in Brasilia, Brazil, 75% had only male candidates for school leadership positions. For the past 25 years, all federal education ministers have been men. In Bulgaria, just 5 of 96 education ministers in 140 years have been women.„
• Teachers still expect girls and boys to have different academic abilities, which affects academic outcomes. In Italy, girls assigned to teachers with implicit gender bias underperformed in mathematics and chose less demanding secondary schools, following teachers’ recommendations.

Millions of schools are not inclusive, often due to poor infrastructure and unsafe learning environments.„

• Globally, over a fifth of primary schools had no single-sex basic sanitation facilities in 2018. Some 335 million girls attend primary and secondary schools lacking facilities essential for menstrual hygiene.„
• Even when single-sex sanitation facilities exist, they may not be accessible to all students: less than 1 in 10 schools with improved sanitation had accessible facilities for students with disabilities in El Salvador, Fiji, Tajikistan, the United Republic of Tanzania and Yemen.

School-related gender-based violence impedes inclusive education of good quality.„

• Girls are more likely to experience verbal and sexual harassment, abuse and violence, while boys are more often subject to physical violence.„
• Violence is often directed at those whose gender expression does not fit binary gender norms. In the United Kingdom, 45% of lesbian, gay and bisexual students and 64% of transgender students were bullied in schools.„
• The rapid advancement of technology has increased risks of threats, intimidation and harassment. In European Union countries, one in five 18- to 29-year-olds reported having experienced cyber-harassment.

Change in education will not happen until unequal gender norms in society are stamped out.„

• Gender discrimination was considered the most important global problem by 8% of adults in the latest World Values Survey. A return to traditional values is an increasing threat to women’s rights. The proportion of people with moderate and intense bias against gender equality increased between 2005–09 and 2010–14 in 15 of 31 countries surveyed.„
• Attitudes towards female foeticide have not improved with education. In urban India, the male to female child sex ratio is inversely associated with female education.„
• Gender discrimination is a threat to inclusive education. In 11 former republics of the Soviet Union and in Mongolia, the level of discrimination in social institutions is 24%, on average, which has reduced women’s average years of schooling by 16%.„
• Parents’ gender stereotypes can stand in the way of inclusion. In Sokoto, Nigeria, some parents believe access to secondary school would prevent girls from marrying. In Fiji, parents expect boys to assist with cash crop farming, which can lead them to disengage with school.

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

Paola belingheri.

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

Filippo Chiarello

Andrea fronzetti colladon.

2 Department of Engineering, University of Perugia, Perugia, Italy

3 Department of Management, Kozminski University, Warsaw, Poland

Paola Rovelli

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

Associated Data

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.

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.

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.

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.

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.

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.

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.

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 ).

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.

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

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).

Funding Statement

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.

Data Availability

Proceedings of the 2021 2nd International Conference on Mental Health and Humanities Education (ICMHHE 2021）

The Literature Review of Gender Discriminations in Schools, Families, and Workplaces

This paper investigates gender discriminations in schools, families and workplaces. The main conclusion can be drawn is that female is received discrimination to some extent, which is a serious problem. The aim of this research is to review the recent progress of gender discriminations and remind people that the existence of gender bias will influence female’s rights and interests, and then lead to social injustice. In the family, the conventional concept is that females are less capable than males. Hence, males play a more important roles in the family issues that will have a disadvantageous impact on females. To solve this issue, female need to learn to defend their equities through legal means and related committees. In addition, the findings about gender discriminations in the workplace are mainly due to females’ special physiological processes, such as the inconvenience brought to the company by giving birth to children. It also makes companies more likely to choose male employees. In school, boys get more attentions and education from teachers, so that girls receive an inequitable education at school. The purpose of this review paper is to raise people’s awareness of the importance of correcting gender discrimination. If there is a law which can restrain gender discrimination, then the atmosphere of gender discriminations will be weaker and weaker until it disappears. It makes a lot of sense to help females recognize the existence of gender discriminations and learn how to solve it.

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Race and LGBTQ Issues in K-12 Schools

What teachers, teens and the u.s. public say about current curriculum debates, table of contents.

• What do teachers think students should learn about slavery and gender identity?
• Should parents be able to opt their children out of learning about certain topics?
• How often do topics related to race and LGBTQ issues come up in the classroom?
• How do teachers’ views differ by party?
• What teachers think students should learn about slavery and gender identity
• Should parents be able to opt their children out of learning about race and LGBTQ issues?
• Influence over curriculum
• What teens want to learn about slavery
• What teens want to learn about gender identity
• 4. Public views on parents opting their children out of learning about race and LGBTQ issues
• Acknowledgments
• Teacher survey methodology
• Teen survey methodology
• General public survey methodology

Pew Research Center conducted this study to better understand how public K-12 teachers, teens and the American public see topics related to race, sexual orientation and gender identity playing out in the classroom.

The bulk of the analysis in this report is based on an online survey of 2,531 U.S. public K-12 teachers conducted from Oct. 17 to Nov. 14, 2023. The teachers surveyed are members of RAND’s American Teacher Panel, a nationally representative panel of public school K-12 teachers recruited through MDR Education. Survey data is weighted to state and national teacher characteristics to account for differences in sampling and response to ensure they are representative of the target population.

For the questions for the general public, we surveyed 5,029 U.S. adults from Nov. 9 to Nov. 16, 2023. The adults surveyed are members of the Ipsos KnowledgePanel, a nationally representative online survey panel. Panel members are randomly recruited through probability-based sampling, and households are provided with access to the Internet and hardware if needed. To ensure that the results of this survey reflect a balanced cross section of the nation, the data is weighted to match the U.S. adult population by gender, age, education, race and ethnicity and other categories.

For questions for teens, we conducted an online survey of 1,453 U.S. teens from Sept. 26 to Oct. 23, 2023, through Ipsos. Ipsos recruited the teens via their parents, who were part of its KnowledgePanel. The survey was weighted to be representative of U.S. teens ages 13 to 17 who live with their parents by age, gender, race and ethnicity, household income, and other categories. The survey on teens was reviewed and approved by an external institutional review board (IRB), Advarra, an independent committee of experts specializing in helping to protect the rights of research participants.

Here are the questions used for this report , along with responses, and the survey methodology .

Throughout the report, references to White, Black and Asian adults include those who are not Hispanic and identify as only one race. Hispanics are of any race. The views and experiences of teachers and teens who are Asian American or part of other racial and ethnic groups are not analyzed separately in this report due to sample limitations. Data for these groups is incorporated into the general population figures throughout the report.

All references to party affiliation include those who lean toward that party. Republicans include those who identify as Republicans and those who say they lean toward the Republican Party. Democrats include those who identify as Democrats and those who say they lean toward the Democratic Party.

Political leaning of school districts is based on whether the majority of those residing in the school district voted for Republican Donald Trump or Democrat Joe Biden in the 2020 presidential election.

Amid national debates about what schools are teaching , we asked public K-12 teachers, teens and the American public how they see topics related to race, sexual orientation and gender identity playing out in the classroom.

A sizeable share of teachers (41%) say these debates have had a negative impact on their ability to do their job. Just 4% say these debates have had a positive impact, while 53% say the impact has been neither positive nor negative or that these debates have had no impact.

And 71% of teachers say teachers themselves don’t have enough influence over what’s taught in public schools in their area.

In turn, a majority of teachers (58%) say their state government has too much influence over this. And more say the federal government, the local school board and parents have too much influence than say they don’t have enough.

Most of the findings in this report come from a survey of 2,531 U.S. public K-12 teachers conducted Oct. 17-Nov. 14, 2023, using the RAND American Teacher Panel. 1 The survey looks at teachers’ views on:

• Race and LGBTQ issues in the classroom ( Chapter 1 )
• Current debates over what schools should be teaching and the role of key groups ( Chapter 2 )

It follows a fall 2022 survey of K-12 parents that explored similar topics.

This report also includes some findings from a survey of U.S. teens ages 13 to 17 ( Chapter 3 ) and a survey of U.S. adults ( Chapter 4 ). For details about these surveys, refer to the Methodology section of this report. Among the key findings:

• 38% of teens say they feel comfortable when topics related to racism or racial inequality come up in class (among those who say these topics have come up). A smaller share (29%) say they feel comfortable when topics related to sexual orientation or gender identity come up.
• Among the American public , more say parents should be able to opt their children out of learning about LGBTQ issues than say the same about topics related to race (54% vs. 34%).

We asked public K-12 teachers what they think students should learn in school about two topics in particular:

• Whether the legacy of slavery still affects the position of Black people in American society today.
• Whether a person’s gender can be different from or is determined by their sex at birth.

For these questions, elementary, middle and high school teachers were asked about elementary, middle and high school students, respectively.

The legacy of slavery

Most teachers (64%) say students should learn that the legacy of slavery still affects the position of Black people in American society today.

About a quarter (23%) say students should learn that slavery is part of American history but no longer affects the position of Black people in American society. Just 8% say students shouldn’t learn about this topic in school at all.

Majorities of elementary, middle and high school teachers say students should learn that the legacy of slavery still has an impact on the lives of Black Americans.

Gender identity

When it comes to teaching about gender identity – specifically whether a person’s gender can be different from or is determined by their sex assigned at birth – half of public K-12 teachers say students shouldn’t learn about this in school.

A third of teachers think students should learn that someone can be a boy or a girl even if that is different from the sex they were assigned at birth.

A smaller share (14%) say students should learn that whether someone is a boy or a girl is determined by their sex at birth.

Views differ among elementary, middle and high school teachers. But teachers across the three levels are more likely to say students should learn that a person’s gender can be different from their sex at birth than to say students should learn gender is determined by sex at birth.

Most elementary school teachers (62%) say students shouldn’t learn about gender identity in school. This is much larger than the shares of middle and high school teachers who say the same (45% and 35%).

What parents and teens say

Parents of K-12 students are more divided on what their children should learn in school about these topics.

In the 2022 survey , 49% of parents said they’d rather their children learn that the legacy of slavery still affects the position of Black people in American society today, while 42% said they’d rather their children learn that slavery no longer affects Black Americans.

When it comes to gender identity, 31% of parents said they’d rather their children learn that gender can be different from sex at birth. An identical share said they would rather their children learn gender is determined by sex at birth. Another 37% of parents said their children shouldn’t learn about gender identity in school.

Teens, like parents, are more divided than teachers on these questions. About half of teens (48%) say they’d rather learn that the legacy of slavery still affects the position of Black Americans today. Four-in-ten would prefer to learn that slavery no longer affects Black Americans.

And teens are about evenly divided when it comes to what they prefer to learn about gender identity. A quarter say they’d rather learn that a person’s gender can be different from their sex at birth; 26% would prefer to learn that gender is determined by sex at birth. About half (48%) say they shouldn’t learn about gender identity in school.

For more on teens’ views about what they prefer to learn in school about each of these topics, read Chapter 3 of this report.

Most public K-12 teachers (60%) say parents should not be able to opt their children out of learning about racism or racial inequality in school, even if the way these topics are taught conflicts with the parents’ beliefs. A quarter say parents should be able to opt their children out of learning about these topics.

In contrast, more say parents should be able to opt their children out of learning about sexual orientation or gender identity (48%) than say parents should not be able to do this (33%).

On topics related to both race and LGBTQ issues, elementary and middle school teachers are more likely than high school teachers to say parents should be able to opt their children out.

How teachers’ views compare with the public’s views

Like teachers, Americans overall are more likely to say parents should be able to opt their children out of learning about sexual orientation or gender identity (54%) than to say they should be able to opt their children out of learning about racism or racial inequality (34%).

Across both issues, Americans overall are somewhat more likely than teachers to say parents should be able to opt their children out.

For more on the public’s views, read Chapter 4 of this report.

Most teachers who’ve been teaching for more than a year (68%) say the topics of sexual orientation and gender identity rarely or never came up in their classroom in the 2022-23 school year. About one-in-five (21%) say these topics came up sometimes, and 8% say they came up often or extremely often.

Topics related to racism or racial inequality come up more frequently. A majority of teachers (56%) say these topics came up at least sometimes in their classroom, with 21% saying they came up often or extremely often.

These topics are more likely to come up in secondary school than in elementary school classrooms.

As is the case among parents of K-12 students and the general public, teachers’ views on how topics related to race and LGBTQ issues should play out in the classroom differ by political affiliation.

• What students should learn about slavery: 85% of Democratic and Democratic-leaning teachers say students should learn that the legacy of slavery still affects the position of Black people in American society today. This compares with 35% of Republican and Republican-leaning teachers who say the same.

• What students should learn about gender identity: Democratic teachers are far more likely than Republican teachers to say students should learn that a person’s gender can be different from the sex they were assigned at birth (53% vs. 5%). Most Republican teachers (69%) say students shouldn’t learn about gender identity in school.
• Parents opting their children out of learning about these topics: 80% of Republican teachers say parents should be able to opt their children out of learning about LGBTQ issues, compared with 30% of Democratic teachers. And while 47% of Republican teachers say parents should be able to opt their children out of learning about racism and racial inequality, just 11% of Democratic teachers say this.

A majority of public K-12 teachers (58%) identify with or lean toward the Democratic Party. About a third (35%) identify with or lean toward the GOP. Americans overall are more evenly divided: 47% are Democrats or Democratic leaners, and 45% are Republicans or Republican leaners .

• For details, refer to the Methodology section of the report. ↩

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