Взгляды на этнокультурное многообразие и авторитарные и этноцентрические установки русских
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.
This paper continues a debate about the Russian version of multiculturalism. In order to benefit from its cultural diversity, Russia from one side has to rethink its historical experience of ethno-cultural relations, and from the other side to improve intercultural competences of the civil servants responsible for implementing cultural and social policy in Russia. Among the different ways to adopt multiculturalism in Russia creation of a new up-to-date cultural policy could be mentioned. This policy fits the framework of the modern European and worldwide tendencies and promotes understanding of culture as an instrument of positive change and development of the society. How successful a recognition and respect of cultural diversity at the institutional level in Russia would be depends on joint efforts from the different actors who formulate a strategy of the real change within the cultural and social policy.
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.