Экономика Франции в период мирового экономического кризиса 2008-2010 годов
This article analyzes some important aspects of socioeconomic and political development of the world in the near future. Thefuturealwaysstemsfromthepresent. Thefirstpartofthearticleisdevotedtothesteadyofsomecrucialeventsofthepresent, whichcouldberegardedasprecursors of forthcoming fundamental changes. In particular, it is shown that the turbulent events of late 2010 and 2011 in the Arab World may well be regarded as a start of the global reconfiguration. The article also offers an analysis of some aspects of the global financial system that, according to the authors, notwithstanding all its negative points, performs certain important positive functions including the 'insurance' of socialguaranties at the global scale.The second part of the article considers some global scenarios of the World System’s new future and describes a few characteristics of the forthcoming “Epoch of New Coalitions”. Thearticleattemptstoanswersuchquestionsasthe following: What are the implications of the economic weakening of the USA as the World System center? Will the future World System have a leader? Will it experience a global governance deficit? Will the world fragmentation increase?
“Arab Spring”, World System’s leader, world reconfiguration, global crisis, sovereignty
The paper gives an overview on unemployemnt in Russia and the concequances of the crisis of 2008.
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.