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Explaining Electoral Competition across Russia's Regions

Published online by Cambridge University Press:  27 January 2017

Abstract

Russia can only be considered an electoral democracy to the extent that its constituent parts also fit this classification. In this article, Bryon J. Moraski and William M. Reisinger assess how well competing theories drawn from the literature on democratization explain the variation across Russia's regions in their progress toward competitive electoral politics. Their analysis reveals that distinctions among the regions in their social structure, arising from developments in the decades before 1991, help explain political competition in a manner unanticipated not only by existing literature on democratization but also by existing studies of Russian democracy at the national and individual levels. Moreover, they find that the divergent experiences of the regions during the 1990s—in their economies and levels of crime, for example—and variations in party development also help us discern which regions have moved furthest along the path toward electoral democracy.

Type
Discussion
Copyright
Copyright © Association for Slavic, East European, and Eurasian Studies. 2003

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References

We wish to thank the University of Iowa's Undergraduate Scholar Assistant Program and its Center for Russian, East European and Eurasian Studies for support. In addition, Merideth Bentley provided invaluable assistance gathering and entering the data.

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3. A map showing Russia's regional boundaries is available from the U.S. Central Intelligence Agency in the on-line collection of the University of Texas's Perry Casteneda Library Map Collection: http://www.lib.utexas.edu/maps/commonwealth.html(last consulted 17 February 2003).

4. President El'tsin authorized an initial round of gubernatorial elections in April 1993 with the expectation that his appointees would win. When five of the seven elections resulted in the defeat of his appointees, however, El'tsin postponed further elections until 1996. See Steven L. Solnick, “Gubernatorial Elections in Russia, 1996-1997,” Post-Soviet Affairs14 (1998): 50. Indeed, the election of regional chief executives in the non-republics (or provinces) did not make them immune to the power of the Russian president. Thanks largely to the 1993 constitutional crisis between the president and the parliament, El'tsin was able to reassert control over the more unruly governors. In Amur oblast, for example, the governor at the time of the federal crisis (Aleksandr Surat) had been popularly elected, but on 5 October 1993 El'tsin removed him for supporting the Congress of People's Deputies. Likewise, in Briansk oblast, die popularly elected governor, Iurii Lodkin, was removed from his post for openly opposing El'tsin's actions. Michael, McFauland Nikolai, Petrov, eds., Political Almanac of Russia 1989-1997, 2vols. (Moscow, 1998), vol. 2Google Scholar.

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17. On the importance of executive turnover, see Samuel P. Huntington, The Third Wave: Democratization in the Late Twentieth Century(Norman, 1991).

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21. In the democratization literature, scholars are careful to specify that a change in the person holding the key office constitutes a “turnover” only when the new occupant represents a different political party or other political grouping. In our data, we cannot distinguish instances when the replacement of an incumbent fails to constitute a turnover. Parties only weakly structure Russia's gubernatorial elections. Yet in most of the instances when a sitting governor has been turned out, he has run in the election against a rival representing a different political grouping and lost.

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33. For evidence on this point, see Golosov, Grigorii V., “From Adygeya to Yaroslavl: Factors of Party Development in the Regions of Russia, 1995-1998, “ Europe- Asia Studies 51, no. 8(1999): 1333-65CrossRefGoogle Scholar.

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35. On the link between quality of life and voting behavior, see Treisman, After theDeluge, 92.

36. We are not, of course, sampling regions from a larger universe but looking at all the regions in our universe. Hence we do not need to rely on statistical significance in the way one does when working with samples. We draw primary attention to the beta coefficients, which provide a way to understand how changes in an explanatory variable are associated with changes in the dependent variable. Nonetheless, the statistical significance level of the coefficients is reported as another way of assessing impact.

37. Moreover, additional regression analyses failed to suggest that the lack of significance for the regional income level and the social structure scale stemmed from collinearity between the two variables. In neither case did the removal of one from the model allow the other to become significant nor did the removal of either variable increase the overall amount of variance explained by the model.

38. McFaul and Petrov, eds., Political Almanac of Russia, 1989-1997, 1:322-24.

39. For an argument that this trend is well under way, see Stephen F. Cohen, “Russian Studies without Russia,” Post-Soviet Affairs15 (1999): 37-55.

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