Проблемы развития территориальных образований в условиях ограниченных временных ресурсов
In the present paper we consider the infl uence of limited time resources on the planning of territories. By specifi c example of one of the districts of Nizhniy Novgorod region it is shown how the limitations of political and economic factors change the trajectory of territorial development.
This paper investigates income convergence among Russian regions between 1998 and 2006. It makes two major contributions to the literature on regional convergence in Russia. First, it identifies spatial regimes using the exploratory spatial data analysis. Second, it examines the impact of spatial effects on the convergence process. Our results show that the overall speed of regional convergence in Russia, being slow by international standards, becomes even slower after controlling for spatial effects. However, when accounting for spatial regimes, we find a strong regional convergence among high-income regions located near other high-income regions. Our results indicate that estimating the speed of convergence using aggregate data may result in misleading conclusions regarding the nature of the convergence process among Russia's regions.
In this paper was made a view over existing disadvantages of a legislative fixed regional departmental targeted socio-economical development programs efficiency estimation system, based on indicative indexes. To eliminate identified defects, the authors propose a new approach on an efficiency estimation system of economical segment programs design. An approach is based on principles of government investment efficiency estimation, detailed on certain program arrangements.
The paper examines the structure, governance, and balance sheets of state-controlled banks in Russia, which accounted for over 55 percent of the total assets in the country's banking system in early 2012. The author offers a credible estimate of the size of the country's state banking sector by including banks that are indirectly owned by public organizations. Contrary to some predictions based on the theoretical literature on economic transition, he explains the relatively high profitability and efficiency of Russian state-controlled banks by pointing to their competitive position in such functions as acquisition and disposal of assets on behalf of the government. Also suggested in the paper is a different way of looking at market concentration in Russia (by consolidating the market shares of core state-controlled banks), which produces a picture of a more concentrated market than officially reported. Lastly, one of the author's interesting conclusions is that China provides a better benchmark than the formerly centrally planned economies of Central and Eastern Europe by which to assess the viability of state ownership of banks in Russia and to evaluate the country's banking sector.
The paper examines the principles for the supervision of financial conglomerates proposed by BCBS in the consultative document published in December 2011. Moreover, the article proposes a number of suggestions worked out by the authors within the HSE research team.
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.