Крупные города в социально-экономическом пространстве регионов России
The article highlights the results of comparison of socio-economic indicators major cities, and similar indicators of the rest regional territories.
This volume discusses post-socialist urban transport functioning and development in Russia, within the context of the country’s recent transition towards a market economy. Over the past twenty-five years, urban transport in Russia has undergone serious transformations, prompted by the transitioning economy. Yet, the lack of readily available statistical data has led to a gap in the inclusion of Russia in the body of international transport economics research. By including ten chapters of original, cutting-edge research by Russian transport scholars, this book will close that gap. Discussing topics such as the relationship between urban spatial structure and travel behavior in post-soviet cities, road safety, trends and reforms in urban public transport development, transport planning and modelling, and the role of institutions in post-soviet transportation management, this book provides a comprehensive survey of the current state of transportation in Russia. The book concludes with a forecast for future travel development in Russia and makes recommendations for future policy. This book will be of interest to researchers in transportation economics and policy as well as policy makers and those working in the field of urban and transport planning.
This article is talking about state management and cultural policy, their nature and content in term of the new tendency - development of postindustrial society. It mentioned here, that at the moment cultural policy is the base of regional political activity and that regions can get strong competitive advantage if they are able to implement cultural policy successfully. All these trends can produce elements of new economic development.
The object of study of this paper is a regional economic system which is complex, dynamic and developable by nature. The reproduction of material wealth necessary for the region is provided in the process of functioning of the above system through the interaction between the combinations of subjective (personal) and objective (material) elements, thereby meeting regional environmental and economic needs.
A comparative study of the course of development of Ukraine and Belorussia can contribute greatly to understanding the regularities of historical evolution of the Eastern part of Europe, in particular to the alternatives of nation-building. It’s necessary to consider Ukrainian-Belorussian parallels in the regional context, taking into account the influence of various factors. Comparative approach is also fruitful in researching the past and present state of historical science of the two neighboring countries.
Volume is devoted to the problems of regional development of Russia. The issues of structuring of sociogeographi- cal space of our country, the most important factors and the latest trends of its regional development, differentiation between Russian regions by a variety of socioeconomic, demographic, ecological parameters, as well as key issues of re¬gional policy in Russia are considered. Particular attention is paid to identifying the specifics of the Russian regions (from macro-regions to federal subjects), with emphasis on the analysis of regional problems and concrete complex situations.
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.