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Social Well-Being of the Russian Federation Regions

Author

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  • Marina Malkina

    (Lobachevsky State University of Nizhni Novgorod)

Abstract

The paper aims at analyzing the differences in the level of Russian regions social well-being in 2004–2014. The objectives of the research are the assessment of the regional social well-being; evaluation of the interregional inequality and the degree of regions convergence/divergence in social well-being; estimation of the factors contributed to it. The social well-being is presented as a four-factor multiplicative model, based on the A. Sen extended function, which includes GDP per capita, share of personal incomes in GRP, cost of living index in the region and intra-regional income inequality. We evaluate the degree of interregional inequality in social well-being on the basis of generalized entropy indices (Theil index and Theil-Bernoulli index). The authors determined a contribution of factors to the interregional inequality according to the Duro-Esteban inequality decomposition technique. According to our hypothesis, the interregional differences decrease as we go from GRP per capita towards nominal and real income and social well-being of regions due to three compensation effects: distributive one, cost of living and intraregional inequality. The dynamics of these effects defines the character and extent of convergence. As a result of the research, we constructed the map of Russian Federation regions by social well-being, and discovered interregional differences in dynamics. Weighted entropy indices allowed to reveal the turning point in the tendency of the accelerated convergence of the Russian regions in 2009, and according to the unweighted entropy indices, there is a smooth turn to divergence in 2011. We determined the contribution of four factors and three crossings of the model in the formation of interregional differences by social well-being in statics. In dynamics, we revealed the positive impact on the convergence by production and distribution factors and the negative impact on it by the factors of cost of life and intraregional inequality. The obtained results are applicable to the assessment of the effectiveness of the regional policy and interbudgetary equalization and to the development of the measures to improve it.

Suggested Citation

  • Marina Malkina, 2017. "Social Well-Being of the Russian Federation Regions," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(1), pages 49-62.
    • Handle: RePEc:ura:ecregj:v:1:y:2017:i:1:p:49-62
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    References listed on IDEAS

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    Cited by:

    1. Svetlana Naiden & Anna Belousova, 2018. "Methodological Tools to Assess the Population Welfare: Interregional Comparison," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(1), pages 53-68.
    2. Artyom Gennadyevich Isaev, 2020. "Social Efficiency Indicators of Public Investment: The Case of the Far Eastern Regions," Spatial Economics=Prostranstvennaya Ekonomika, Economic Research Institute, Far Eastern Branch, Russian Academy of Sciences (Khabarovsk, Russia), issue 4, pages 23-43.
    3. Ksenia Shvorina & Larisa Faleychik, 2018. "Main Directions of Migration Mobility in the Siberian and Far Eastern Federal Districts," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(2), pages 485-501.
    4. Tatiana Ladykova & Vladimir Bersenyov, 2018. "Typology of Macroeconomic Parameters of Population Income," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(2), pages 380-394.

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    More about this item

    Keywords

    social well-being; welfare; region; inequality; A. Sen function; Theil index; Theil-Bernoulli index; convergence; divergence; decomposition;
    All these keywords.

    JEL classification:

    • R - Urban, Rural, Regional, Real Estate, and Transportation Economics
    • R - Urban, Rural, Regional, Real Estate, and Transportation Economics

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