Methodological Approaches to Identifying Parameters of Optimum Business Locations in the Regions of the Russian Federation
Methodological Approaches to Identifying Parameters of Optimum Business Locations in the Regions of the Russian Federation
Author(s): Victor Makarovich Zayernyuk, Irina Viktorovna Mukhomorova, Elena Nikolaevna Egorova, Valentina Petrovna LeonovaSubject(s): Business Economy / Management, Methodology and research technology, Evaluation research, Economic development, Present Times (2010 - today)
Published by: Reprograph
Keywords: economic health; forecasting; integrated indicator;
Summary/Abstract: The article is aimed at developing methodological foundations for quantitative evaluation of economic potentials in the Russian regions, undertaking approbatory calculations to determine its current level and the dynamic pattern as a basis for making decisions on optimum business locations in the RF regions. A methodological approach has been worked out and justified for evaluating the level of development and the attractiveness of the regions of Russia to enable business decisionmaking on entering new markets founded on the integrated indicator of economic health that integrates the local indicators of the regions taking into account their multiplicative nature. A conclusion has been made that the Republic of Tatarstan, the Samara Region and the Nizhny Novgorod Region were leaders in 2012- 2015 in terms of the economic health indicator. The Ulyanovsk Region and the Udmurt Republic have improved their standing in economic activities, while the Republic of Mordovia and the Penza Region have decreased their indices. The suggested methodology for evaluating the economic potential has been created based on the arrays of the official statistical data; it has been accommodated to all regions of Russia, and thus, it affords determining and evaluating promptly the economic health of any region in the Russian Federation.
Journal: Journal of Applied Economic Sciences (JAES)
- Issue Year: XI/2016
- Issue No: 45
- Page Range: 1319-1321
- Page Count: 3
- Language: English