Развитие практик оценки эффективности управления: мировые тренды и опыт США
The article investigates the main global trends in the development of government effectiveness evaluation practices, as well as evaluation methods and key stages of their development. Against the background of global trends, special attention is given to the analysis of practices of public administration effectiveness evaluation in the United States of America, which is the leader in the field of effective management.
The article considers the processes of progress in production and service sectors and answers the question how and thanks to what service sector of Russian economy left the productive one behind (concerning contribution in GDP of our country). The rates of development of service sector turned out to be so high firstly - as a reason of peculiarities of new Russian economy, which historically was built on the market principles and was developing in conditions of investment resources deficit, secondly - as a reason of system differences between «physical» goods and services as an object of sale. Nowadays Russia faces an unusual symbiosis: effective service companies, operating in hard competitive sphere with average profitability and non-affective from the point of management industrial companies, which thanks to monopolistic pricing have great profitability, providing profits of Russian budget and determining a macroeconomic situation.
The experience of the well known world business schools in using MBA programs is analysed. Тhe history of MBA programs is presented on many American and European examples. American and British benchmarking in qualities and the content of training programs reflects the current level of business education in many countries of the world. Programs in Harvard School of Business, Ecoles Superior de Commerce, INSEAD and other prestigious schools of business are discribed.
The article examines special politically-legal and social status of Muslim community in the USA. Not only positive experience of ethnopolitical integration is described, but also a number of problems connected to this situation.
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.