Research background: We assume that the dynamics of spatial wage inequality can be caused by both shifts in the sectoral structures of regional economies and changes in inter-sectoral and intra-sectoral (inter-regional) wage inequality. Purpose of the article: The paper is aimed at analysis of the sectoral factors influenced the spatial wage inequality in Russia in 2005-2014. Methods: The employment-weighted Gini coefficient was applied for assessment of spatial wage inequality; the modified Lerman-Yitzhaki technique allowed to decompose it by main economic activities and their determinants; the mixed methods of factor analysis was used to evaluate the contribution of sectoral determinants to regional wage convergence in Russia. Findings & Value added: We found a weak and inconsistent convergence of Russian regions in average wage over the period under review and explained it by the opposing forces in the main economic activities. The spatial convergence was basically created by mining, manufacturing, agriculture, construction, and transport and communications activities, while wholesale and retail trade, financial intermediation and real estate operations counteracted it. The convergence was mainly facilitated by a reduction in inter-sectoral differences in wages as well as by rapprochement of the employment structures in some economic activities of Russian regions. In the meanwhile, the migration of labor force from lower wage to higher wage activities negatively affected the smoothing regional differences. Ultimately, intra-sectoral wage inequality and wages correlation in various activities rather preserved inequality. The results are applicable in the management of spatial inequality both at the regional and national levels.
Research background: The reduction lately observed in interregional differences in the per capita income in Russia requires some clarification of the reasons. One possible way to do this could be decomposition of interregional inequality in personal incomes by income sources, i.e.: wages and salaries, property incomes, social transfers, entrepreneurship incomes and revenues from informal activities. Purpose of the article: The objective of this research is identification of the character, direction and degree of influence of various income sources on interregional inequality and convergence of Russian regions by their per capita income in 2001–2014. Methods: We brought personal incomes in the regions to a comparable level using the relative cost of fixed consumer basket. Then we applied the population-weighted Gini coefficient, coefficient of variation, and the Theil index to measure the interregional inequality in personal incomes in dynamics. Further usage of various techniques of inequality decomposition allowed us to evaluate contribution of different types of income to the Russian regions’ convergence across time. Findings & value added: Various types of income demonstrated different paths of interregional inequality, changes in interaction and in the shares of total income, which altogether influenced spatial inequality. Wages and salaries showed the largest and growing impact on inequality. The contribution of informal incomes to the overall inequality was the second largest, but diminishing and negatively interacting with other unevenly distributed types of income; thereby they provided more than half of the total interregional convergence. Entrepreneurship incomes revealed slightly decreasing influence on inequality, which was mainly neutralized by their reduction in the share of total income. Social transfers demonstrated the largest smoothing effect, however, their contribution to convergence was exhausted. Property incomes evidenced the greatest enhancing impact on inequality especially in the period of recovery. Additionally, informal incomes played the role of substitutes for formal incomes providing self-replicating mechanisms for reducing inequality in Russia.
The paper is aimed at study of the influence of industrial structure of regional economy on its tax system risk level. The tax systems risk level of Russian regions in 2006 -2014 was assessed applying the H. Markowitz portfolio approach under the assumption that regional "portfolio" consists of main economic activities. It allowed us to evaluate contribution of various economic activities to total tax system risk, to decompose it into internal and external by origin and to identify the critical zones of instability in Russian regions. The coefficients of variation of tax yield rate revealed different relative impact of the economic activities on instability of regional tax systems. Besides, we found mainly positive albeit changing in strength correlation between internal and total tax system risk level and tax yield rate in economic activities. The diversification level of regional economies was evaluated by means of standard deviation of regional industrial structure from country structure considered as a benchmark. Inclusion of this level along with the tax yield rate and a set of control variables into two developed regressions estimated with GRP-weighted least-square method allowed us to confirm positive influence of diversification on the tax systems stability. Our results may be applicable to management of tax system risks at the regional level.
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