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Elite Defection under Autocracy: Evidence from Russia

Published online by Cambridge University Press:  06 March 2019

ORA JOHN REUTER*
Affiliation:
University of Wisconsin-Milwaukee & HSE University
DAVID SZAKONYI*
Affiliation:
George Washington University & HSE University
*
*Ora John Reuter, Associate Professor of Political Science, University of Wisconsin–Milwaukee and Senior Research Fellow, International Center for the Study of Institutions and Development (ICSID), National Research University Higher School of Economics, Russian Federation, reutero@uwm.edu.
†David Szakonyi, Assistant Professor of Political Science, Department of Political Science, George Washington University and Research Fellow, International Center for the Study of Institutions and Development (ICSID), National Research University Higher School of Economics, Russian Federation, dszakonyi@gwu.edu.
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Abstract

Elite cohesion is a fundamental pillar of authoritarian stability. High-level defections can signal weakness, embolden the opposition, and sometimes, lead to regime collapse. Using a dataset of 4,291 ruling party candidates in Russia, this paper develops and tests hypotheses about the integrity of elite coalitions under autocracy. Our theory predicts that ruling elites defect when there is greater uncertainty about the regime’s willingness to provide spoils. Regimes that share power with the opposition, limit access to spoils, and lack formal institutions see more defections. Co-opting the opposition assuages outside threats but leaves regime insiders disgruntled and prone to defection. Those with personal followings and business connections are the most likely to defect, since they can pursue their political goals independently of the regime. Taken together, our results highlight important tradeoffs among authoritarian survival strategies. Many of the steps autocrats take to repel challenges simultaneously heighten the risk of defections.

Information

Type
Research Article
Copyright
Copyright © American Political Science Association 2019 
Figure 0

FIGURE 1. Defection Rate by YearThis figure plots defection from United Russia by year. The x-axis shows the year of the second election in the sequence. We exclude the small number (52) of candidates from 2004–06.

Figure 1

TABLE 1. Individual Determinants of Defection

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FIGURE 2. Individual-Level Substantive EffectsFigure presents the predicted probability of defection based on different values of the predictors shown in bold. The model used to generate the probabilities comes from column 3, Table 1. All other predictors are held at their means.

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TABLE 2. Regional Determinants of Defection

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FIGURE 3. Regional-Level Substantive EffectsFigure presents the predicted probability of defection based on different values of the predictors shown in bold. The model used to generate the probabilities comes from column 4, Table 2. A High level for the UR Leadership Share variable indicates that no positions were shared with the opposition (90th percentile), while the Low level indicates that 64% of positions were given to UR deputies (10th percentile). The Ethnic Minority Executive categories take a yes/no, while the low and high categories for UR vote share and UR firm profitability are set at the 10th and 90th percentiles. All other predictors are held at their means.

Supplementary material: Link

Reuter and Szakonyi Dataset

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Supplementary material: PDF

Reuter and Szakonyi supplementary material

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