Spatial Differentiation and Market Potential of the Regions: the Case of Russia

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 include market potential of the region's retail markets, fixed asset investments, the number of economically active population, and average nominal monthly wage in the region. Segmentation of Russian regions on the basis of these variables allows comparison and selection of the regions from investors' standpoint. To segment Russian regions on the basis of the selected variables we use self-learning neural networks allowing assessment of several variables with the lack of some input data. Second, we classified Russian regions based on their market potential indicators and represented the results on the map of Russia. We presented a structure of Russian regions which accounts for spatial differentiation of the market potential.

Analyzing regional differences in the condition and development of trade in Russia

“…Given that Russia occupies one eighth of the Earth's area and includes poorly populated territories, the presence of regional differences is expected (Bradshaw & Vartapetov, 2003). The fact that most regions demonstrate a low level of trade development to a varying degree correlates with the conclusions of Miroliubova & Biryukov (2015), according to which most of the Russian regions are unattractive for business and only a few are attractive. Territorial differences are also explained by different density of population.…”

“…Multiple studies that analyzed differences in the value of the gross regional product, production and consumption volumes, income and expenditures of the population in the regions (Lavrovsky, 1999, Mikheeva, 1999, Hanson, 2001, Fedorov, 2002, Bradshaw & Vartapetov, 2003 indicate that the economic inequality among the Russian regions has increased after the collapse of the Soviet Union. As a result, the Russian economy is currently described by high spatial differentiation and regional inequality (Miroliubova & Biryukov, 2015). Petersburg accounts for about 50% of retail space of modern formats, the share of other cities with a million-plus population accounts for another 30%.…”

Concepts of Improvement of Indistinct and Neural Network Methods of Modelling of Bankruptcies at Risk Management by the Loan Portfolio of Bank

“…В процессе мониторинга ФЭС заемщиков при обслуживании банком своего кредитного портфеля важно уловить «точку невозврата», когда уже традиционные способы реструктуризации задолженности не могут спасти заемщика от банкротства и требуются радикальные инструменты, например выпуск корпоративных облигаций, рекредитование корпорации [2], использование различных моделей государственного -частного партнерства на основе инвестиционного налогового кредита [3,13]. 1 Бирюков Александр Николаевич -доктор экономических наук, доцент, профессор кафедры экономической теории и анализа Стерлитамакского филиала Башкирского государственного университета, г. Стерлитамак, Россия, (453103, Республика Башкортостан, г. Стерлитамак, пр.…”