Стратегические измерения эффективности национальной стандартизации
Formulae for statement carelessness measure calculation, conceptions, classification system with uneven description are substantiated. Conceptions of the search completeness and accuracy in the uneven event are specified and calculating formulae for their valuation are derived. Relationship between description carelessness and search efficiency is formed. Construction method of the curve of the search efficiency pareto-optimum parameters is proposed. Classification system autocompatibility conception and their relationship with description carelessness measure are given.
The cluster landscape in Russia is becoming more diverse. Since the release of “The Concept of Long-Term Socio-Economic Development of the Russian Federation until 2020” in 2008, which established the basic principles of the national cluster policy, there emerged more than 110 cluster initiatives, joining about 3 000 companies with 1.3 million jobs. Over the past 10 years, cluster-related agenda has become a priority for the Russian Government, primarily for the Ministry of Economic Development and the Ministry of Industry and Trade. Today every second cluster benefits from various government support measures.
The article aims at a comprehensive review of the Russian cluster policy over the past decade. The comparison of the cluster support programs, launched and administered by the two ministries, revealed some of their key advantages and limitations. With the issue considered, we suggest "smart" synchronization of different bureaucratic approaches to cluster support programmes design, based on the exchange of best practices. The federal law on cluster policy could be a starting point.
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.