Открытие советской спортивной эпохи
The article is devoted to studying styles of consumption in the field of leisure, focusing on sporting clays which became popular among the Russian elite in the second half of 1990s. The study demonstrates that today people with medium and low income are also engaged in sporting clays. The question arises as to whether sporting clays stimulates social differentiation or social integration. The empirical data collected from participants of a sporting clays club describe the institutionalization process of sporting clays in modern Russia, show social and economic qualities of shooters, and present a typology of people engaged in this kind of shooting.
The article explores the professionalization process in the field of sports in Russia. It is based on empirical research which consisted in biographic interviews with professional tennis players and secondary analysis of publications. The theoretical background of the article belongs to sociology of professions and sociology of sports. A brief review of sociology of sports as independent academic discipline is made. The article shows relations between sportsmen from different sports, mass communication and leisure. Authors make conceptual distinction between amateur and professional tennis and show how the social status of parents influences the success of tennis players. This research pioneers in the academic study of tennis players professional environment.
Sneakers. Cultural history of sport shoes is first academic book about sneakers published in russian.
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.