Оценка эффективности института самоорганизации граждан по месту жительства
In a low level of civic engagement is the driver of socio-economic development of the country, it is important to pay attention to the evolution of the institutions of self-organization of citizens. The article presents the results of an analysis of factors that contribute to self-organization of residence in the community of territorial public self. Using econometric methods evaluated the effectiveness of such communities. Found that the main factor determining the effectiveness of community is social capital, and the main factor of self-organizing citizens' desire to receive funding from the government. Scientific work is based on data from a survey of heads of territorial public self-government and municipal employees of Kirov.
The paper demonstrates the potential of the stochastic frontier-based methods of performance assessment of non-profit associations. They are commonly used for productivity analysis and could serve as an adequate tool for such assessment, especially when dealing with numerous non-profits pursuing identical and clearly identified objectives. A case in point are homeowners associations (HOA), which are formed within apartment buildings to manage common property. Data was collected by a survey of 82 HOAs in Russias national capital Moscow and a large industrial city of Perm. Different techniques and robust checks are applied, exogenous parameters that influence HOA efficiency are revealed. Among those, physical conditions of the housing stock and ability of tenants to resolve the collective action problem in operating housing infrastructure were shown to be of primary importance. Overall, HOA, despite of their appeal and successful performance in developed nations, are not necessarily a superior option in countries and societies where civic capacity is in short supply, and housing stock suffers from wear and tear.
Given the specificity of Russia can be said that the development potential microgrid very high, but the level of its use will depend on the model for the energy sector development. In this article the basic model for this development, given their estimate with the benefits and risks. The results of the pilot study, the authors of the effectiveness of model projects microgrid in Far Eastern Federal District (FEFD).
The article examines differences between two Russian regions – Moscow and Bashkortostan – through the following socio-psychological indicators: perceived social capital, trust, civil identity, life satisfaction, and economic attitudes.
The book includes proceedings of the conference “Business. Society. Human” (October 30–31, 2013, Moscow) organized by National Research University Higher School of Economics. The purpose of the conference: interdisciplinary analysis of actual problems of studying business in the social sciences: the relationship between business and society; social capital and trust; business and corporate culture; individual, group and organization in business; problems and prospects of business education and business consulting, etc. The book present the results of researches of trust and social capital carried out in various countries in Europe, Asia and in Russia. Authors are well-known sociologists, psychologists and economists. The results of these researches were presented at the conference. The papers are published as they were submitted by the author.
The book’s stated objective is to uncover context, “how social capital interacts with social institutions.” It is part of a new wave of research on social capital that, dissatisfied with both macro analyses limited to societal patterns and micro analyses limited to actors’ conditions, seeks to understand the operation of networks at the meso-level: how institutions and organizations structure the transfer of resources across networks. It purports to make both theoretical and methodological contributions, the first by developing the concept of “institutional logics,” the latter by “casting diverse contextual settings as ‘generators’ of social relations”, and studying these contexts from multiple methodological perspectives. (from a review by M. Small)
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 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 results of cross-cultural research of implicit theories of innovativeness among students and teachers, representatives of three ethnocultural groups: Russians, the people of the North Caucasus (Chechens and Ingushs) and Tuvinians (N=804) are presented. Intergroup differences in implicit theories of innovativeness are revealed: the ‘individual’ theories of innovativeness prevail among Russians and among the students, the ‘social’ theories of innovativeness are more expressed among respondents from the North Caucasus, Tuva and among the teachers. Using the structural equations modeling the universal model of values impact on implicit theories of innovativeness and attitudes towards innovations is constructed. Values of the Openness to changes and individual theories of innovativeness promote the positive relation to innovations. Results of research have shown that implicit theories of innovativeness differ in different cultures, and values make different impact on the attitudes towards innovations and innovative experience in different cultures.
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.