Актуальные проблемы современного международного права: материалы XII Международного конгресса "Блищенковские чтения" / Ч.II / отв.ред. А.Х. Абашидзе. Москва, 16.04.2016. - Москва: РУДН, 2016. – 469 с.
The authors argue that Russian-Chinese rapprochement is a fundamental feature of the current changing system of international relations. The two countries are effectively enabling each other to conduct independent foreign policies often in direct opposition to the West. There is a degree of complementarity between the two sides with Russia having comparative advantage in the military, intelligence and diplomatic fi elds and China being an economic superpower. The region of Central Asia which, as some Western authors have expected, could become the hotpoint of the RussianChinese rivalry. Yet in reality it became the cradle of the two countries’ cooperation which is now affecting a wide range of international issues. Shanghai Cooperation Organization (SCO) has emerged as the main platform for Russian-Chinese cooperation in Central Asia. After India and Pakistan joined the SCO in 2017 it is evolving into a mechanism of RussianChinese cooperation not only in Central Asia but in the IndoPacifi c as a whole. The Korean peninsula is another important area of coordination between Moscow and Beijing in the AsiaPacifi c. Russia and China have also been working on increasing interoperability of their military forces in the region since mid 2000s. Technically they have already done a great job for preparing ground for a military alliance. However, politically they do not appear to be ready for that yet.
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.