Социология как индикатор состояния общества: «Старые» и «новые» проблемы в современных исследованиях: Предисловие
The article examines the status system of the local academic community of St. Petersburg sociologists. The list of most cited authors was obtained from citation analysis of selected Russian sociological journals. The results suggest that the status system is divided in isolated segments with few citation exchanges between different segments. Each part of the sociological community produces its own list of influentials. With a few exceptions there are no authors central for the whole community. Even the embeddedness of various segments in the same local space does not stimulate circulation of attention between different parts of the community.
The problems of the methodology of measuring the cohesion of local communities are considered. Presented method of qualitative evaluation of cohesion local (neighboring) communities allows us to calculate the integral indicator of cohesion, to make a "portrait" community cohesion at the individual indicators, and to identify the types of social cohesion within the community. Recommendations on the application of the methodology and statistical data processing are given. For scientists and specialists developing problems of social integration, methodology and methods of collecting and analyzing sociological data. It can be used in the educational process with students and postgraduates receiving education in the field of sociology and psychology.
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.
This article is talking about state management and cultural policy, their nature and content in term of the new tendency - development of postindustrial society. It mentioned here, that at the moment cultural policy is the base of regional political activity and that regions can get strong competitive advantage if they are able to implement cultural policy successfully. All these trends can produce elements of new economic development.