Регионы России: стратегии и механизмы модернизации инновационного и технологического развития. Труды Восьмой международной научно-практической конференции 31 мая-1 июня 2012 г
The sector of knowledgeintensive business services (KIBS) not only contributes to its own dynamic and innovative development but also to the development of the external environment through the creation, accumulation, and dissemination of knowledge. Therefore, it is considered one of the key pillars of the knowledgebased economy. This article addresses the problem of its spatial distribution in Russia. The basis of the study is uniquely empirical, obtained through a series of largescale surveys among Russian pro ducers and consumers of KIBS. The collected data provide quantitative evidence for the spatial dimension of the sector. Comparative analysis of the production and consumption of KIBS in Russia’s federal districts makes it possible to classify the latter in terms of the exchange of related services and mapping of the intensity of their interregional supply and demand across federal districts. It is established that companies offering KIBS in Russia are largely concentrated in big cities. The demand for KIBS is more distributed, but not spa tially neutral. This paper may be of interest to researchers focusing on the spatial distribution of elements of the innovationbased economy in Russia. It is also relevant for regional authorities, because it can help them assess the development capacity of their regions.
Article gives a characteristics of workforce and examines principals and approaches to development of it s innovation in modern conditions.
Prospects of modernization of Russian education on the basis of realization of the possibities given by an information society are discussed. Conditions of formation and development of the information-communication educational space are studied. The concept of the intellectual control system of innovative development of the Russian educational complex in the conditions of information society is stated/
The concept of an information-analytical Internet-portal of the Russian medical industrial complex as the basis of the intellectual control system of innovative development of the MIC is stated.
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.