Невоенные рычаги внешней политики России: региональные и глобальные механизмы
The article presents the results of the research «Development methodology of international institutions effectiveness assessment, analysis and assessment of the G8 effectiveness and possibility of different reform models for realization of Russia's foreign policy priorities during global governance system crisis» conducted within the State University - Higher School of Economics plan of fundamental studies. Functional analysis methodology is used to assess G8 effectiveness in realization of global governance functions, priorities, cooperation with multilateral institutions and mechanisms. Special attention is given to dynamics of Russia's role in the G8 and the G8 effectiveness in Russia's priorities realization. The paper examines the G8 and the G20 comparative effectiveness. The research is based on the specialized data base of the G7/G8 and the G20 documents issued from 1998 to 2009 and special programme for their analysis.
The paper analyses the process of establishment and development of the national system of international development assistance in Russia. The analysis covers the period starting from 2005 when key national priorities for international development assistance were defined and amounts of foreign aid were substantially increased on the threshold of Russia’s G8 Presidency preparations. The emerging structure of governance, the aid flows and amounts of allocated ODA, as well as the funding priorities in the sphere of development assistance are described on the basis of the analysis of official documents, statements and speeches of officials, reports of international institutions, and statistics available for public access. Russia’s participation in multilateral international organizations and institutions in the sphere of development cooperation is also considered. Drawing on the results of the analysis the author proposes recommendations for further development of the national system of international development assistance in Russia.
The reader describes various aspects of the international position of Russia and its policy in the beginning of the 21st century. The general problems of international relations in the present-day polycentric world are discussed.
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.