Российские регионы: экономический кризис и проблемы модернизации
The article analyzes internal migration in Russia and identifies the main factors that influence it. The model of migration factors is estimated from panel data on Russian regions based on official Rosstat data for 1999–2010. Demographic factors, indicators of the labor market and housing, quality of life, the provision of public goods, infrastructure, and expenditures from regional consolidated budgets on various needs are considered as migration factors. Analysis showed that migration sensitivity is higher to demographic and economic factors (housing provision and per capita income), rather than to different social or other factors. Expenditures on education and healthcare in regions have the biggest impact on migration among all other regional budget expenditures.
In this paper we study convergence among Russian regions. We find that while there was no convergence in 1990s, the situation changed dramatically in 2000s. While interregional GDP per capita gaps still persist, the differentials in incomes and wages decreased substantially. We show that fiscal redistribution did not play a major role in convergence. We therefore try to understand the phenomenon of recent convergence using panel data on the interregional reallocation of capital and labor. We find that capital market in Russian regions is integrated in a sense that local investment does not depend on local savings. We also show that economic growth and financial development has substantially decreased the barriers to labor mobility. We find that in 1990s many poor Russian regions were in a poverty trap: potential workers wanted to leave those regions but could not afford to finance the move. In 2000s (especially in late 2000s), these barriers were no longer binding. Overall economic development allowed even poorest Russian regions to grow out of the poverty traps. This resulted in convergence in Russian labor market; the interregional gaps in incomes, wages and unemployment rates are now below those in Europe. The results imply that economic growth and development of financial and real estate markets eventually result in interregional convergence.
By permitting early resignations of the governors of Russia's regions, followed by their participation in premature elections, the federal center seeks to facilitate their long-term political survival. This study uses the data from 2013-2015 gubernatorial elections in order to reveal the Kremlin's motivations for this strategy. The analysis demonstrates that in contrast to the previous periods of Russia's political development when the federal center tended to reward the governors for electoral deference the current strategy is aimed primarily at long-term risk-aversion. This signifies a shift in the order of priorities of the Kremlin's policy toward the regions.
One of the most important indicators of company's success is the increase of its value. The article investigates traditional methods of company's value assessment and the evidence that the application of these methods is incorrect in the new stage of economy. So it is necessary to create a new method of valuation based on the new main sources of company's success that is its intellectual capital.
We address the external effects on public sector efficiency measures acquired using Data Envelopment Analysis. We use the health care system in Russian regions in 2011 to evaluate modern approaches to accounting for external effects. We propose a promising method of correcting DEA efficiency measures. Despite the multiple advantages DEA offers, the usage of this approach carries with it a number of methodological difficulties. Accounting for multiple factors of efficiency calls for more complex methods, among which the most promising are DMU clustering and calculating local production possibility frontiers. Using regression models for estimate correction requires further study due to possible systematic errors during estimation. A mixture of data correction and DMU clustering together with multi-stage DEA seems most promising at the moment. Analyzing several stages of transforming society’s resources into social welfare will allow for picking out the weak points in a state agency’s work.