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Business deserts politics under weak institutions: evidence from Russia, 2003–2010

Published online by Cambridge University Press:  16 October 2024

Ivan S. Grigoriev*
Affiliation:
King’s Russia Institute, King’s College London, London, UK
Kirill Zhirkov
Affiliation:
Department of Politics, University of Virginia, Charlottesville, USA
*
Corresponding author: Ivan S. Grigoriev; Email: ivan.grigoriev@kcl.ac.uk
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Abstract

Businesspeople are expected to invest in political connections when the institutions are weak. Using an original dataset from Russia in 2003–2010, we document changes in political connections of the richest businesspeople and show that within the institutional environment of a fledgling autocracy political engagement stops paying off, and the businesspeople retreat from politics. The businesspeople’s political disengagement reveals their insider assessment of the quality of Russian political institutions, indicating that as autocracy consolidated in Russia, its political institutional structure was in decay. This finding contributes to our understanding of authoritarian institutions, suggesting that even though autocracies nowadays might be institutionalized to a much higher degree, in the short-run autocracy is still detrimental to institutionalization.

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, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of Vinod K. Aggarwal
Figure 0

Figure 1. Trends in log assets for businesspeople with and without political connections.Note: See Table S1 in Supplementary Material for regression coefficients.

Figure 1

Figure 2. Predicted probabilities of keeping a connection.Note: See Table S4 in Supplementary Material for the model with year-specific effects.

Figure 2

Table 1. Panel logistic regression results predicting having a political connection

Figure 3

Figure 3. Predicted probabilities of having a political connection by year for businesspeople having connection previous year. Note: See Table S5 in Supplementary Material for regression coefficients.

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