Income distribution is one of the factors influencing economic growth. At present time, the regional aspect of such influence is an important sphere of research. The present article is intended to view the aspects of the influence of income distribution differentiation on economic growth on the example of the Russian regions in post-crisis period. The research results are presented in the form of regression model, estimating the differences in the growth rates of gross regional products in Russia in post-crisis 2010. The explanatory variables are Gini coefficients as an indicator of income inequality, and a number of other indicators characterizing the regional development in 2006 — 2010. Special attention is paid to the influence of 2008 crisis on the differences of regions by the level of dependent variable. Cross-sectional regression model based on the Russian Federation regions data shows the positive influence of changes in income distribution on the rate of economic growth. The general result of the research is confirmation of the hypothesis of the influence of income inequality on economic growth at the regional level in Russia. The observed effect is positive and statistically significant. The effect is relatively short-term, both from the point of view of the dependent variable (the yearly growth rate of GRP is used in the model), and from the point of view of the time lag between the year of dependent variable observation, 2010, and the period of observation, for which the Gini coefficient is significant in regression equation (2006-2007). Pre-crisis value of the Gini coefficient does not determined the differences in economic growth in the regions of Russia in 2011-2012. The results can be used in predicting the pace of regional development in Russia in the post-crisis period, as well as in the implementation of regional economic policy in times of crisis in order to maximize regional economic growth after the crisis.

The paper established a number of "stylized facts", one of which is a confirmation of the S. Kuznets’ hypothesis of the nonlinear dependence between the degree of inequality in income distribution and welfare economic systems on the example of a group of Russian regions for the period 2002–2012. It is shown that, for a given sample, the welfare and economic growth factors amplify their influence on inequality in income distribution in the post-crisis period. The monotonous growth of income inequality which was observed before the crisis of 2008 is slowing in the process of raising the per capita gross regional product (GRP) during the post-crisis period, and for the foreseeable future, in some regions, its direction can be reversed, while maintaining a trend of socio-economic development. Despite the persistence over time of a convex nature of S. Kuznets’ curve for Russian regional data, its parameters changed during the reporting 2002–2012 period. The maximum point of the curve shifts to the left, its convexity increases. These facts indicate that the income inequality growth of the Russian regions’ as a result of growth of per capita GRP is slowing. For some regions in the post-crisis period, the income inequality does not grow with the growth of per capita GRP, or it even reduces. This fact can be attributed to the implementation of the Russian federal socially oriented projects and programs in recent years. The results can be used for the development of regional economic policy in order to regulate the level of income distribution inequality in the regions of Russia.