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Coalitions Matter: Citizenship, Women, and Quota Adoption in Africa

Published online by Cambridge University Press:  07 February 2018

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Abstract

We provide new theory and evidence of the role of domestic women’s coalitions in the adoption of gender quotas. Previous research has shown the importance of women’s movements to policy change. We show that specific types of mobilization, often multiethnic in character, are a more precise way of describing these influences. Using a new dataset of coalitions in 50 countries in Africa (1989–2014), we first examine where coalitions are likely to emerge. Controlling for factors that correlate with their formation, we find that when domestic women’s organizations form a coalition for quotas, governments are more likely to adopt them and do so more quickly. This correlation holds when controlling for international aid, involvement of international women’s movements, and whether countries recently emerged out of major armed conflict, complementing recent scholarship that highlights global influences. A comparative case study of the adoption of a gender quota in Senegal and non-adoption in Benin helps illustrate the nuances of the theory.

Information

Type
Special Section: The Politics of Inclusion and Exclusion
Copyright
Copyright © American Political Science Association 2018 
Figure 0

Figure 1 The adoption of gender quotas in Africa, 1989-2014Note: The line shows the cumulative number of countries with gender quotas laws or reserved seats for women in the lower-house or unicameral legislature that meet a 10 percent minimum threshold. Bars refer to the number of adoptions in the given year.

Figure 1

Table 1 Correlates of the emergence of coalitions, 1989–2014 (discrete time complementary log-log event history models)

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Table 2 Coalitions and the Adoption of Gender Quotas, 1989–2014

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Table 3 Correlates of the adoption of gender quotas, 1989–2014 (discrete time complementary log-log event history models)

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Table 4 Correlates of the adoption of gender quotas, alternative control variables (discrete time complementary log-log event history models)

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Table 5 Predicted probabilities of the adoption of gender quotas by the end of 2000

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Table 6 A comparison of Benin and Senegal, 1990

Supplementary material: File

Kang and Tripp supplementary material

Appendix

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