Миграционная политика и коллективная идентичность: опыт российских немцев в Германии
This article examines the question of identity construction among migrants by looking at the case of the Russian-Germans in Germany. The article summarizes an empirical study on the German repatriation program and on the biographies of Russian-Germans who migrated to Germany from former Soviet states in the 1990s and 2000s. The author employs a critical discourse analysis of institutions, organizations and publications related to the German repatriation program, as well as a biographical analysis of narrative interviews conducted with Russian-Germans in Germany. The author has analyzed descriptions of personal biographies and family histories across generations and has sought to answer the question of how, when and where a collective identity narrative is constructed.
The migratory situation in Russia in the 1990-2000th years is considered. Separate types of migration are analysed: repatriation, labor migration, internal migration
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.
The research applied for research abilities of critical discourse analysis for new religious movements’ analysis. A long tradition of religion research in social sciences had a lot of theoretical issues. In this paper we show how theory is used for empirical survey.
This article examines critical discourse analysis usage for political investigations. Special survey of literature, schedules and articles brings out strong methodological deficiency. Some argumentation on issues, means and limits of critical discourse analysis emphasize its prospects for political science development.
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.