Causes and Consequences of Democratization. The regions of Russia
In recent decades, the regions of Russia have taken different paths of regime transition. Despite the consolidation of an autocratic regime at national level and the centralization steered by Vladimir Putin’s government, the variation across sub-national regimes persists. Using an innovative theoretical framework, this book explores both causes and consequences of democratization in the regions of Russia. It is the first study in the field to systematically integrate structural and agency approaches in order to account for economic, social, historical and international causes of democratization and to trace its consequences. By focusing on the challenging and under-studied topic of sub-national regimes, the book provides a unique perspective on regime transition and the new theoretical framework contributes to a better understanding of democratization world-wide. The book will be of key interest to scholars and students of democratization, sub-national regimes, East European politics, comparative politics, post-communism, and international relations.
The article deals with the processes of building the information society and security in the CIS in accordance with modern conditions. The main objective is to review existing mechanisms for the formation of a common information space in the Eurasian region, regarded as one of the essential aspects of international integration. The theoretical significance of the work is to determine the main controls of the regional information infrastructure, improved by the development of communication features in a rapid process.The practical component consists in determining the future policies of the region under consideration in building the information society. The study authors used historical-descriptive approach and factual analysis of events having to do with drawing the contours of today's global information society in the regional refraction.
The main result is the fact that the development of information and communication technologies, and network resources leads to increased threats of destabilization of the socio-political situation in view of the emergence of multiple centers that generate the ideological and psychological background. Keeping focused information policy can not be conceived without the collective participation of States in the first place, members of the group leaders of integration - Russia, Belarus and Kazakhstan. Currently, only produced a comprehensive approach to security in the information field in the Eurasian region, but the events in the world, largely thanks to modern technology, make the search for an exit strategy with a much higher speed. The article contributes to the science of international relations, engaging in interdisciplinary thinking that is associated with a transition period in the development of society. A study of current conditions in their relation to the current socio-political patterns of the authors leads to conclusions about the need for cooperation with the network centers of power in the modern information environment, the formation of alternative models of networking, especially in innovation and scientific and technical areas of information policy, and expanding the integration of the field in this region on the information content.
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.