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Gender Economics in the Global South

Published online by Cambridge University Press:  25 March 2026

Olivia Bertelli
Affiliation:
University Paris-Dauphine, PSL

Summary

Despite past progress towards gender equality, recent trends reveal a stagnating - or even reversing - situation since 2019. According to recent estimates, full parity is to be reached in 134 years, shifting this achievement from 2030 to 2158. Women still exhibit worse conditions than men everywhere in the world, but the gender gaps are particularly stark in the global south. This Element provides an overview of cross-cutting edge research in the economics of gender inequality in the global south, while offering a snapshot of women's living conditions using recent worldwide available data. The evidence reviewed encompasses a large set of possible solutions to end gender inequality, from policy reforms to ban discriminatory practices and grant equal rights to men and women, to anti-poverty programs, as well as interventions facilitating women's access to formal education and the labor market. This title is also available as open access on Cambridge Core.

Information

Figure 0

Figure 1 Gender Inequality Index (2022).Notes: Author’s calculation based on data from the Human Development Report (2022). The Gender Inequality Index is a composite index ranging from 0, where women and men fare equally, to 1, where one gender fares as poorly as possible in all measured dimensions.

Figure 1

Figure 2 Social Institutions and Gender Index (2023).Notes: Author’s calculation based on the OECD Gender Institution and Development dataset (2023). The Social Institutions and Gender Index (SIGI) is a composite index measuring discriminatory social institutions across 179 countries, ranging from 0 to 100, with 0 indicating no discrimination and 100 indicating absolute discrimination against women. It is calculated by first computing subindices for each of the four categories of variables presented in the table, which are then averaged with equal weighting to obtain the final index.

Figure 2

Figure 3 GDP per capita and the SIGI (2023).Notes: Author’s calculation based on the OECD Gender Institution and Development dataset (2023). GDP per capita is gross domestic product divided by midyear population size. Data are in 2023 US dollars from World Bank national accounts data and OECD National Accounts data files (2023). For more information about the Social Institutions and Gender Index see notes of Figure 2. Size of circles relates to country’s population size.

Figure 3

Table 1 The Social Institutions and Gender Index across countries’ income groupsTable 1 long description.

Figure 4

Figure 4 Gender Inequality Index and Social Institutions and Gender Index.Notes: Author’s calculation based on the Gender Inequality Index data reported in the Human Development Report (2022). The dashed line reports a nonparametric estimate of the cross-country relationship between the Gender Inequality Index and the Social Institutions and Gender Index. For more information on the Gender Inequality Index see notes of Figure 1. For more information about the Social Institutions and Gender Index see notes of Figure 2.

Figure 5

Figure 5 Female labor force participation and GDP per capita.Notes: Author’s elaboration based on data from World Bank gender data (2023). Female labor force participation measures the proportion of the female population aged 15 and older that is economically active during a specific time period. For more details about the GDP per capita measure, see notes of Figure 3. The dash line reports nonparametric estimates of the cross-country relationship between female labor force participation and GDP per capita. Size of circles relates to country’s population size.

Figure 6

Figure 6 Trend of sex ratios at birth in China, India, and the rest of the world, 1960–2020.Notes: Author’s elaboration based on data from the World Bank, World Development Indicators.

Figure 7

Figure 7 Prevalence of child marriage for girls and boys across countries’ income groups.Notes: Author’s calculation based on data from the UNICEF 2015–2023. Country classification by income level based on the World Bank (2022–2023). The figure reports the percentage of women and men aged 20 to 24 years who were first married or in union before age 18.

Figure 8

Figure 8 First 10 countries with the highest prevalence of female child marriage.Notes: Author’s calculation based on data from the UNICEF (2015–2023). Prevalence of female child marriage measured as the percentage of women aged 20 to 24 years old who were first married or in union before 18 years old.

Figure 9

Figure 9 Share of countries allowing for child marriage, by macroregion.Notes: Author’s calculation based on data from the World Policy Center (2023). Child marriage is considered allowed when the minimum legal age of marriage for girls is 17 or younger.

Figure 10

Figure 10 Intimate partner violence and GDP per capita.Notes: Author’s elaboration based on data from the OECD Gender Institution and Development Database (2023) and from the World Bank (2023). The dashed line reports a nonparametric estimate of the cross-country relationship between the prevalence of intimate partner violence and GDP per capita. Intimate partner violence is measured as the percentage of ever-partnered women and girls subjected to physical and/or sexual violence by a current or former intimate partner in the previous 12 months. For more details about the GDP per capita measure, see notes of Figure 3. Size of circles relates to country’s population size.

Figure 11

Figure 11 Intimate partner violence prevalence and justification.Notes: Author’s elaboration based on data from the World Value Survey (Waves 5–7, 2017–2022) and the OECD Gender Institution and Development database (2023). See Figure 10 for the measure of intimate partner violence (IPV). Justification of IPV is calculated as the share of girls and women aged 15 to 49 years who think a husband to be justified in hitting or beating his wife for at least one of the following reasons: if his wife burns the food, she argues with him, goes out without telling him, neglects the children, or refuses sexual relations. Size of circles relates to country’s population size.

Figure 12

Figure 12 Intimate partner violence and female labor force participation.Notes: Author’s elaboration based on data from the OECD Gender Institution and Development database (2023) and from World Bank gender data (2023). The dashed line reports a nonparametric estimate of the cross-country relationship between the prevalence of IPV and the rate of FLFP. See Figure 10 for the measure of IPV. See Figure 5 for the measure of FLFP. Size of circles relates to country’s population size.

Figure 13

Figure 13 Intimate partner violence and female labor force participation by macroregion.Notes: Author’s elaboration. For the data sources and the definitions of the two indicators see Figure 12. The straight line represents a fitted linear regression.

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Gender Economics in the Global South
  • Olivia Bertelli, University Paris-Dauphine, PSL
  • Online ISBN: 9781009576369
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Gender Economics in the Global South
  • Olivia Bertelli, University Paris-Dauphine, PSL
  • Online ISBN: 9781009576369
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Gender Economics in the Global South
  • Olivia Bertelli, University Paris-Dauphine, PSL
  • Online ISBN: 9781009576369
Available formats
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