Bastions of Tradition: The Ethnic Factor and Political Machines in Russian Regions

IF 0.7 Q3 POLITICAL SCIENCE
S. Shkel
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引用次数: 5

Abstract

The regional machines created by the Russian governors in the mid-1990s turned out to be most effective in the ethnic republics. This phenomenon is supported by several facts, with the primary as follows: the density of the patronage networks among the rural ethnic minorities, and the economic heritage of the Soviet period and ethnical institutionalization. These factors allowed regional elites to integrate ethnic minorities into the clientelism structure to distribute symbolic and material benefits in exchange for their electoral support. However, at present, the federal authorities have considerably reduced the autonomy of the ethnic republics and deprived them of many ethnic preferences. Basing on the analysis of the electoral statistics from the Russian Presidential Election of 2018, this article researches the political consequences caused by the changed relationship between the center and the regions, as well as the changes in functioning of regional political machines in the circumstances where the governors’ institutional and resource autonomy has been reduced. The data analysis allowed for the discovery of the diversified electoral behavior of ethnic minorities in different republics. The reasons for the above diversification have been explained based on a comparative analysis of five case studies (the Republic of Bashkortostan, the Republic of Tatarstan, the Komi Republic, the Chuvash Republic, and the Republic of Sakha (Yakutia)).
传统的堡垒:俄罗斯地区的民族因素与政治机器
事实证明,上世纪90年代中期由俄罗斯州长创建的地区性机构在各少数民族共和国最为有效。这一现象得到了几个事实的支持,其中最主要的是:农村少数民族庇护网络的密度,以及苏联时期的经济遗产和种族制度化。这些因素使得地区精英能够将少数民族纳入庇护主义结构,以分配象征和物质利益来换取他们的选举支持。但是,目前联邦当局大大减少了各族裔共和国的自治权,剥夺了它们的许多族裔优先权。本文通过对2018年俄罗斯总统选举统计数据的分析,研究了中央与地方关系变化所带来的政治后果,以及在州长制度和资源自治权被削弱的情况下,区域政治机器的运行变化。通过数据分析,可以发现不同共和国少数民族的选举行为存在差异。根据对五个案例研究(巴什科尔托斯坦共和国、鞑靼斯坦共和国、科米共和国、楚瓦什共和国和萨哈共和国(雅库特))的比较分析,解释了上述多样化的原因。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Russian Politics
Russian Politics Arts and Humanities-History
CiteScore
1.50
自引率
12.50%
发文量
19
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