Строительство тоннеля под Беринговым проливом: новая сверхзадача российской политики в АТР?
In the mid- 2000s, on the former Soviet Union area was designated a new trend - changing from rivalry to competitive of the great powers. "Eastern Partnership" was originally based on a very abstract intention to establish the common EU Eastern policy and a specific Polish interest. This politics underestimates the region's singularities, which after more than two decades of independence lost similarity, have different interests and sometimes have reciprocal contradictions. Trying to offer them a common path for all doomed to failure. European initiative has not reached any significant success, and anti-democratic trends in the partnership are a definite challenge. The "Eastern Partnership" unthinkable as endless story of promoting democracy and impossible as a collective story of political modes transformation. In the future, very likely to occur substitution/addition of "Eastern Partnership" to deeper selective cooperation of EU with some post-Soviet countries.
The current crisis and pause in development of the EU-Russia relations provide a unique chance to shed the burden of past problems and start new relations from scratch. Both sides shuld sort their values and get rid of the ballast generated ny the bureaucratic inertia or false understandings of partnership. Russia and Europe are unlikely to evolve a common vision for the future. Their future is not in unity but co-existing next to each other. It is time that Russia and the EU clearly formulate their real interests and try to make relations predictable. To achieve this, howeverm both sides nees to answer some basic questions.
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.