Региональная экономика. Природно-ресурсные и экологические основы
This article is dedicated to the problems of management of knowledge economy development at a regional level. International experience shows us successful examples of development of the economy in specific regions and cities. However, there are cases, which reveal the absence of progress in the development of the knowledge econ-omy. The study that we have conducted shows that measurement of the contribution of the knowledge economy to a region’s key performance indicators is the key problem for regional policy makers. The above indicators in-clude gross regional product, labour productivity, the level of salaries, and unemployment. Apparently, the issue of assessment of the knowledge economy is of a fundamental nature. The goal of our study is to review basic models of knowledge economy development, to analyze their evolution and to reveal the dependency of knowledge economy development on the methods and tools of its assessment.
In the present paper we consider the infl uence of limited time resources on the planning of territories. By specifi c example of one of the districts of Nizhniy Novgorod region it is shown how the limitations of political and economic factors change the trajectory of territorial development.
In this paper was made a view over existing disadvantages of a legislative fixed regional departmental targeted socio-economical development programs efficiency estimation system, based on indicative indexes. To eliminate identified defects, the authors propose a new approach on an efficiency estimation system of economical segment programs design. An approach is based on principles of government investment efficiency estimation, detailed on certain program arrangements.
The European focus for the development of the North-western Federal District is a natural geopolitical factor for development of the district. The European vector of development of North-western Federal District is broken down into mechanisms for strategic territorial planning and management of the regional economy. Based on data of the Strategy of Social and Economic Development oFthe North-western Federal District until 2020, the analysis of principles of managementfor the Northern Dimension macro-region was conducted, which includes both the are of the Baltic Sea and territory of cross-border cooperation.Simultaneously, the European Union has developed the approach toThe Implementation of development strategy of the Baltic Sea. For the effective development of a single macro-region there cannot be two different strategies. The purpose of this publication is to demonstrate opportunities for coordination of two strategies and plans for their implementation followed by selection in accordance with the strategic development of the macro-region of the Baltic Sea States.
The chapter deals with the regional differences in the structure of motivation of early entrepreneurial activity (opportunity vs. necessity driven) in Russia and the factors influencing this difference measured by an index called the share of opportunity-based early entrepreneurs (SOBE). It is shown that the differences in SOBE levels among Russian regions are statistically significant; cross-regional differences in the SOBE level reflect a certain set of regional social and economic factors immediately or with a short, medium or even long term (10 years) lag. The empirical part is based on the survey designed by the Higher School of Economics which was conducted in 2011 in 79 regions of Russia with a sample of 56 900 respondents. The survey is representative for the structure of the adult population in each of the surveyed regions.
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.