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Political Factors Determining Federal Transfers to Russian Regions in 2000-2017

Student: Stepanenko Anna

Supervisor: Alexander Nezdyurov

Faculty: Saint-Petersburg School of Social Sciences

Educational Programme: Politics and Governance (Master)

Year of Graduation: 2018

This work is devoted to the study of political factors affecting the distribution of intergovernmental transfers to the regions of the Russian Federation in 2000-2017. In the introduction, the author demonstrates the differences in budget transfers between the regions of the Russian Federation, which proves the relevance of the issue under study. The main models that are considered in the work are the model of electoral support of United Russia, the ideological model and the model of ethnic tension. The methodological part of the work is the regression analysis of 85 regions of Russia. The dependent variable of this study is the amount of federal transfers in the region for a particular year, adjusted per capita. Variable ideological models of steel - the unemployment rate, the gross regional product, as well as the per capita income of the population. The model of electoral support for United Russia was measured using variables-the results of voting at the presidential and parliamentary elections. A model of ethnic tension - the shares of other nationalities, objects in the region according to the all-Russian censuses, and the meeting of interethnic conflicts. The analysis showed that all factors and models under consideration influence the distribution of interbudgetary transfers. When studying the ideological model, a strategy was found to support the weakest regions, both in the crisis years, and for the economic recovery and improvement of the country's welfare (2000-2006). The political loyalty shown in support of the party operating in the country and the President is also encouraged by the central government. We also note that the influence of electoral support factors increases due to the upcoming elections and is reduced after them. The correlation between the number of interethnic conflicts and transferred transfers was also significant in the period from 2011-2017.

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