История и историческая память
This article analyses Soviet roots of the official policy and ideology of the African National Congress (ANC) – the National Democratic Revolution. The article deals with the evolution of the Soviet theory of the national liberation movement, with the history of its adoption first by the South African Communist Party (SACP) and then by the ANC and with the way this theory has been playing itself out in South African politics after the ANC’s coming to power. It offers a historical perspective which helps to understand the ANC’s present policy and politics and the thinking of its leadership.
The article is based on documents from both the South African and Russian archives, interviews with participants of events, Russian contemporary publications and a wide range of other published material.
The paper discusses how was formed the managment institutions of the Soviet tank industry, from the first steps to creating an effective administration. In focus is the problem of interaction between institutions of industrial management with the state authorities and military administration. Examples of biographies of people, responsible for managing tank industry, shows how varied the Soviet administrative elite, and how these people influence the formation of the Soviet "administrative culture".
In the article the analysis of the situation which developed in Russia at the beginning of the XX century and attempts of the imperial power to prevent the approaching catastrophe which were connected with the realization of the idea of representation of the people is given. The attitude of the last Russian emperor to the idea of formation of representation of the people is shown.
The article tries to assess the role of health statistics of the people in the state-run Health Service in modern Russia. The article analyses the problems connected with collecting statistics and concludes that medical statistics does not reflect the real situation in the Health Service and the health state of the nation. Taking this into account, the author suggests considering statistics as a means in the struggle for the distribution of resources and as a form to prove that the decisions taken on resources distribution are correct.
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.