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How Civil Resistance Improves Inclusive Democracy

Published online by Cambridge University Press:  04 November 2024

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Abstract

When do political transitions lead to greater inclusion for groups historically excluded from power? Scholars and policymakers often assume the answer is simple: a transition will result in more inclusion when it ends in democracy. Yet this answer is incomplete at best, since many democracies systematically exclude women, particular ethnic groups, or lower economic classes from power. Using data on political transitions around the world from 1945 to 2014, this study shows that a political transition’s initiating force critically shapes post-transition political inclusion. When transitions are initiated through unarmed civil resistance campaigns they achieve greater advances in inclusion relative to other types of transition. We propose three mechanisms to explain this effect: civil resistance leads to greater continued mobilization and civic activism among the historically excluded, provides greater opportunities for elites from historically excluded groups to rise to positions of leadership in new regimes, and forges more pluralistic norms of political behavior.

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Special Section: Democracy
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - SA
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike licence (http://creativecommons.org/licenses/by-nc-sa/4.0), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the same Creative Commons licence is used to distribute the re-used or adapted article and the original article is properly cited. The written permission of Cambridge University Press must be obtained prior to any commercial use.
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of American Political Science Association
Figure 0

Figure 1 Trends in annual averages of VDem inclusion measures, 1945–2014

Figure 1

Table 1 Average changes in inclusion measures one year and five years after transition

Figure 2

Table 2 OLS regressions of effect of transition type on changes in inclusion, before versus one year after transition

Figure 3

Figure 2 Coefficient estimates for civil resistance transitionNote: Coefficient estimates come from Models 1–4 in table 2 and represent how much greater an increase in inclusion is expected from a CRT as compared to a non-CRT.

Figure 4

Figure 3 Expected changes in inclusion measuresNote: The values above represent the expected changes in inclusion measures for civil resistance and non-civil resistance transitions. Estimates come from Models 1–4 in table 2 with all other covariates in the models held at their means.

Figure 5

Table 3 OLS regressions of effect of transition type on changes in women’s political representation and mass mobilization, before versus one year after transition

Figure 6

Table 4 Average changes in inclusion measures by group participation

Figure 7

Table 5 OLS Regressions of campaign participation and transition type

Figure 8

Figure 4 Pairwise contrasts of transition type and participationNote: The pairwise contrasts reflect differences in the expected changes in the relevant dimension of inclusion between CRTs that included participation from members of each excluded group, CRTs that did not, and non-civil resistance transitions. Participation is specific to the dimension being evaluated: i.e. the “gender” model codes for the participation of women, the “ethnicity” model for the participation of excluded ethnic groups, and the “class” model for class diversity. Estimates come from Models 9-11 in table 5.]

Figure 9

Figure 5 Expected changes in inclusion measures by participationNote: The values above represent the expected changes in inclusion measures for CRTs with excluded group participation, CRTs without such participation, and non-CRTs. Participation again is specific to the dimension being evaluated. Estimates come from Models 9-11 in table 5 with all other covariates in the models held at their means.

Figure 10

Figure 6 Sensitivity analysis showing robustness to hypothetical confounding variablesNote: The sensitivity analysis illustrates how hypothetical missing confounders would alter the t-value for the main explanatory variable, civil resistance transition, in Model 1. It presents hypothetical confounders one, two, and three times as correlated with both civil resistance transition and inclusion as the lagged inclusion variable, showing that even in the presence of a confounder with levels of correlation three times as strong as the lagged dependent variable, the main finding would still be statistically significant.

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