Assessing the Potential of Economic-Geographical Position for Russian Regions

Stepan Zemtsov and Vyacheslav Baburin ()
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Vyacheslav Baburin: Lomonosov Moscow State University, faculty of geography, department of economic and social geography of Russia

Economy of region, 2016, vol. 1, issue 1, 117 - 138

Abstract: On the basis of the review of the scientific literature, the category of economic-geographical position (EGP) is formalized. The developed method of international and interregional EGP potential assessment is based on the use of gravity models; in the future, it can be widely used in regional studies to explore the benefits of the spatial location of objects (countries, regions, cities, etc.). These calculations for Russian regions have showed a significant spatial differentiation. The regions located near Moscow and St. Petersburg agglomerations have the maximum potential of interregional EGP, the potential decreases uniformly to the east. The maximum international EGP potential is concentrated in the regions on the coast of the Black Sea, the Baltic Sea and the Sea of Japan. The potential of the Kaliningrad region is in 5.6 times higher than it is for the Tyva Republic. In addition, it is revealed a significant increase in the total EGP potential in the 2000s, and its shift to the southern regions of the Far East due to the growth of the Asia-Pacific economies. The regions with a high and low efficiency of EGP use are revealed. The results are used to identify the connections between the EGP potential and the indicators of socio-economic development. It is found that a favorable EGP is one of the factors for gross regional product growth, the growth of investment and foreign trade, migration growth and spread of new technologies. Formalizing EGP as a category allows to use it to predict the spatial changes in the socioeconomic development of Russia.

Keywords: economic-geographical position; market potential; regions of Russia; gravity models; gross regional product (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (5)

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