Великая реформа и модернизация России
During the 14th and 15th October 2017, a conference organized by Ben Eklof (Indiana University), Igor Fedyukin (Higher School of Economics (Moscow), Tatiana Saburova (Higher School of Economics, Indiana University), Elena Vishlenkova (Higher School of Economics, Moscow) has been held at the Indiana University Europe Gateway at CIEE Global Institute (Berlin) with the aim to discuss new narratives about the history of Russian education, aroused by James C. Scott’s books, Seeking like a State. How Certain Schemes to Improve the Human Condition Have Failed (1998), in particular on the basis of the concept of “high modernism” in its effort to redesign society and of the role of knowledge in the context of social and economic changes.
Shroud of Mary of Tver, the famous monument of Old Russian art? 14 st., was comissioned in honor of important political event, reconsiliation among the princes of Moscow Dom in 1389-1390.
The significance of memoir complex associated with the large Russian historians of the XX century, as an important historical source.
In 2006, Russia amended its competition law and added the concepts of ‘collective dominance’ and its abuse. This was seen as an attempt to address the common problem of ‘conscious parallelism’ among firms in concentrated industries. Critics feared that the enforcement of this provision would become tantamount to government regulation of prices. In this paper we examine the enforcement experience to date, looking especially closely at sanctions imposed on firms in the oil industry. Some difficulties and complications experienced in enforcement are analysed, and some alternative strategies for addressing anticompetitive behaviour in concentrated industries discussed.
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.