Please use this identifier to cite or link to this item: http://hdl.handle.net/10995/47014
Title: How to Assess Advantages of Economic-Geographical Position for Russian Regions
Authors: Zemtsov, S. P.
Baburin, V. L.
Issue Date: 2016
Publisher: Уральский федеральный университет
Citation: Zemtsov S. P. How to Assess Advantages of Economic-Geographical Position for Russian Regions / S. P. Zemtsov, V. L. Baburin // R-Economy. — 2016. — Vol. 2, Iss. 3. — P. 385-401.
Abstract: The category of economic-geographical position (EGP) was formalized based on a review of the scientific literature. The developed method of international and interregional EGP potential assessment was based on the use of gravity models; it can further be widely used in regional studies to explore the benefits of the spatial location of objects (countries, regions, cities, etc.). These calculations for Russia’s regions showed significant spatial differentiation. The maximum potential of interregional EGP potential have the regions located near Moscow and St. Petersburg agglomerations, the potential decreases uniformly to the east. The maximum international EGP potential concentrated in regions on the coast of the Black Sea, the Baltic Sea and the Sea of Japan. The potential of the Kaliningrad region 5.6 times higher than it is for the Tyva Republic. In addition, it was 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-Paci c economies. The results were also used to identify connections between the EGP potential and indicators of socio-economic development. It was found that favourable EGP is one of the factors for GRP growth, investment, foreign trade, migration growth and spread of new technologies. Formalizing EGP as a category allows using it to predict the spatial changes in the socio-economic development of Russia.
Keywords: ECONOMIC-GEOGRAPHICAL POSITION
MARKET POTENTIAL
RUSSIAN REGIONS
GRAVITY MODELS
REGIONAL DEVELOPMENT
URI: http://hdl.handle.net/10995/47014
RSCI ID: https://elibrary.ru/item.asp?id=29100655
DOI: 10.15826/recon.2016.2.3.035
Origin: R-Economy. 2016. Vol. 2. Iss. 3
Appears in Collections:R-Economy

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