Assessing the investment potential of housing markets in the regions and cities of Russia
The present study analyzes the investment attractiveness of regional housing markets and housing markets of cities with a population of over 100 thousand people. The analysis of regional housing markets identified the following market groups as more attractive for investment in different segments of residential construction. It is shown that large cities and rapidly developing metropolises determine the investment attractiveness of the region’s housing markets.
The first issue of the 65th volume of Scando-Slavica is a special issue edited by Dmitrij Dobrovol′skij, Mikhail Kopotev and Ludmila Pöppel, which includes six contributions based on selected presentations at the EUROPHRAS international conference “Phraseology and Construction Grammar,” which took place in Stockholm, Sweden in August 2017. An introductory text by the guest editors is followed by contributions from Dmitrij Dobrovol′skij, Mikhail Kopotev and Ludmila Pöppel; Igor Boguslavsky; Paola Cotta Ramusino; Olga Boguslavskaya; Daria Kormacheva; and Natalia Ringblom and Galina Dobrova. Although written from different theoretical perspectives, the contributions share a common topic: Russian multiword constructions that possess a certain degree of idiomaticity.
The author regards the main principles of an overall method of assessing the investment attractiveness of IT-projects and underlines the diffusion of service-oriented architecture (SOA) at the moment. Among modern works taking SOA into consideration in the framework of the methodology of assessing information systems (IS) economic efficiency, he detaches the approach based on event-driven process chain (EPC) extension.
In the era of globalization Russia as one of the dynamic development markets became attractive to foreign investors willing to get high return and ready to take high risks. The aim of this article is to examine the investment flows and changes of its volume and direction in the periods of stable economic grows and economic crises 1998 and 2008-2009 years, weather we can say that Russia is the international investment center in recent years or it suffers from great capital outflow. According to practice there are two major kinds of investments: portfolio and direct investments. The former are more speculative, the latter - more stable and lead to technology and experience spreading. Ernst & Young European Investment Monitor illustrates the tendency of turning the international investments to development markets using the criteria of the sum of investments projects with participation of foreign investor, the article examines weather it is possible to prove this fact using data of flows of portfolio and direct foreign investments in the Russian market. As that is not a secret that Russian economy is mostly dependent on oil prices, this factor is also taken into account. As a whole the author outlines short-term, medium-term and long-term signs of investment attractiveness of Russia and proves that there is much to be done to make Russia the international investment center.
The Bill on amendments to Part II of the Civil Code of the Russian Federation consists of legislation provisions on a new limited interest in land - a right to development. The principal difference between the new model of development and the right to development concept in Russian and foreign treaties and the Concept of civil legislation development is pointed out in the article. Hence, a comparative analysis of the notion, provisions on the right to development entitlement and the correspondence between the right to development and the right to building is conducted by the author. The problems which can rise during the practical realization of the aforementioned model of the right to development are highlighted in the article.
This book contains the materials of the International conferencs on the problem of Economics, Engeneering and Construction.
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.