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Race and non-electoral political participation in Brazil, South Africa, and the United States

Published online by Cambridge University Press:  11 November 2021

Fabrício M. Fialho*
Affiliation:
London School of Economics and Political Science, London, UK
*
Corresponding author. E-mail: f.mendes-fialho@lse.ac.uk

Abstract

This paper examines the context-dependent role of race as a predictor of non-electoral political participation. Prior country-level studies have documented group-level differences in a variety of forms of participation in South Africa and the United States, but have found few to no differences in Brazil. Why are members of one group more engaged in certain political activities than members of other groups only in specific contexts? Why do members of socioeconomically deprived groups, such as non-Whites, participate more than better-off groups in acts that require group mobilization in South Africa and the United States but not in Brazil? Results from the World Values Survey and the International Social Survey Programme show that Blacks and Coloureds in South Africa and Blacks in the United States participate more than Whites in activities that demand prior organization and mobilization, whereas group differences are negligible in Brazil. I argue that (1) race as a driver of political mobilization is conditional on the existence of politicized racial identities; (2) members of groups that share a strong collective identity participate in direct political action more than predicted by their socioeconomic background; (3) politicization of identities is the product of racial projects that deploy the state apparatus to enforce group boundaries for the implementation of segregationist policies as well as the reactions against them; and (4) by enforcing group boundaries, those systems unintentionally create the conditions for the formation of politicized group identities. In the absence of such requisites, political mobilization along racial lines would be weak or nonexistent.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of The Race, Ethnicity, and Politics Section of the American Political Science Association
Figure 0

Table 1. Survey items on participation in associations and political actions

Figure 1

Table 2. Sample size and race groups

Figure 2

Figure 1. Participation in political action.Source: World Values Survey: Round 5 and International Social Survey Programme 2004.

Figure 3

Figure 2. Participation in voluntary organizations.Source: World Values Survey: Round 5.

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Figure 3. Race as a predictor of political activism (ISSP).Source: International Social Survey Programme 2004.Note: Figures report logistic regression coefficients and 95% confidence intervals. “Race” indicates race categories as the only predictor in the model; “Race + SES” indicates the inclusion of sociodemographics as control variables; “Race + Attitudes” indicates controlling for political attitudes; “Race + All” indicates controlling for both sociodemographics and political attitudes.

Figure 5

Figure 4. Race as a predictor of political activism (WVS).Source: World Values Survey: Round 5.Note: Figures report logistic regression coefficients and 95% confidence intervals. “Race” indicates race categories as the only predictor in the model; “Race + SES” indicates the inclusion of sociodemographics as control variables; “Race + Attitudes” indicates controlling for political attitudes; “Race + All” indicates controlling for both sociodemographics and political attitudes.

Figure 6

Figure 5. Race as a predictor of organizational membership (WVS).Source: World Values Survey: Round 5.Note: Figures report logistic regression coefficients and 95% confidence intervals. “Race” indicates race categories as the only predictor in the model; “Race + SES” indicates the inclusion of sociodemographics as control variables; “Race + Attitudes” indicates controlling for political attitudes; “Race + All” indicates controlling for both sociodemographics and political attitudes.

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