Challenges for Infrastructural Provision in Post-socialist Moscow’s Mega-urban Region: Housing and Communal Services
Urban infrastructure in Russia was heavily subsidized by the state during the socialist period. The market economy is bringing new participants, which could have a significant impact on collective consumption institutions.
The book aims to trace and explain the historical evolution of Moscow, the capital of the Tsardom of Russia, Soviet Union and Russian Federation, as a political entity and political community, and to understand what place Moscow occupied within the Russian political space and what role it played in Russian political life for centuries until 2018. The authors consistently examine the dramatic political history of the contemporary Russian capital in the Moscow (13th – 17th centuries) and St. Petersburg (18th – 19th centuries) epochs, in the Soviet period, in the post-Soviet era, and identify its key points and the most pivotal events.
The December protests in Moscow do not represent a “Russian Spring,” “Orange Revolution,” or new version of Perestroika. Rather they have more in common with the Progressive movement that fought corruption in the U.S. during the early part of the twentieth century. The demonstrations made clear that Russian citizens now want to play an active role in their country’s political life.
We present a simple hedonic model for apartment prices in Moscow in the year 2003. Based on some 15,000 observations we estimate the model and use the estimates for prediction. Pretest issues are explicitly taken into account.
The practice of dacha subdivision, and garden plot allotment in particular, spread widely during Soviet times, not only within the Russian Federation, but also to other Soviet Republics and even other socialist countries. While in the environs of the many-socialist cities, second homes are actively included into the real estate market and housing supply, Moscow’s suburbs demonstrate their loyalty to the established tradition of seasonal migration between the city and the countryside. This study seeks to address the question how do the shifting from socialist to market economy impact the dacha life-style of the Muscovites and to look into dynamics of the changes in the relations between the city and hinterland since the collapse of the socialist state from dachas’ point of view.
The paper examines the structure, governance, and balance sheets of state-controlled banks in Russia, which accounted for over 55 percent of the total assets in the country's banking system in early 2012. The author offers a credible estimate of the size of the country's state banking sector by including banks that are indirectly owned by public organizations. Contrary to some predictions based on the theoretical literature on economic transition, he explains the relatively high profitability and efficiency of Russian state-controlled banks by pointing to their competitive position in such functions as acquisition and disposal of assets on behalf of the government. Also suggested in the paper is a different way of looking at market concentration in Russia (by consolidating the market shares of core state-controlled banks), which produces a picture of a more concentrated market than officially reported. Lastly, one of the author's interesting conclusions is that China provides a better benchmark than the formerly centrally planned economies of Central and Eastern Europe by which to assess the viability of state ownership of banks in Russia and to evaluate the country's banking sector.
The paper examines the principles for the supervision of financial conglomerates proposed by BCBS in the consultative document published in December 2011. Moreover, the article proposes a number of suggestions worked out by the authors within the HSE research team.
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.