Abstract

This paper investigates spatial differentiation between Russian regions in the context of business location factors.First, we selected a number of variables to describe key factors of business location in the regions. They includemarket potential of the region’s retail markets, fixed asset investments, the number of economically activepopulation, and average nominal monthly wage in the region. Segmentation of Russian regions on the basis ofthese variables allows comparison and selection of the regions from investors’ standpoint. To segment Russianregions on the basis of the selected variables we use self-learning neural networks allowing assessment ofseveral variables with the lack of some input data. Second, we classified Russian regions based on their marketpotential indicators and represented the results on the map of Russia. We presented a structure of Russianregions which accounts for spatial differentiation of the market potential.

Highlights

  • Russia has been transforming into a market economy since the early 1990-s

  • This paper investigates spatial differentiation between Russian regions in the context of business location factors

  • We presented a structure of Russian regions which accounts for spatial differentiation of the market potential

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Summary

Introduction

Russia has been transforming into a market economy since the early 1990-s. These changes have had different impacts on the socio-economic development of Russian regions. As a result modern Russia is characterized by increased spatial differentiation and regional inequalities. This leads to such problems as economic slowdown, considerable outflow of population from unsuccessful regions to successful ones, growing separatist sentiment, disintegration processes, etc. To solve these problems we need to study spatial differentiation in modern Russia, to determine its features and sources. The results of this study can provide the basis for an effective economic policy both at the federal and regional levels

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