2019 (16), №1

Theoretical Aspects of Modeling the Socio-economic Genotype of Industrial Regions of the Russian Federation

For citation: 

Myslyakova, Yu. G., Shamova, E. A., Ezhova, M. G. & Kirillova, V. V. (2019). Theoretical Aspects of Modeling the Socio-economic Genotype of Industrial Regions of the Russian Federation. Zhurnal Economicheskoj Teorii [Russian Journal of Economic Theory], 16(1), 37-45

Abstract:

The search for new sources of economic development is of high importance, especially for industrial regions of the Russian Federation that are in dynamic conditions of managing the world system. Based on the methodology of the genetic approach, this article formulates the task to identify structural features of the socio-economic genotype of an industrial region with the aim to further use them in the modeling of territorial development. The term “socio-economic genotype” of a region as a common code model, which represents a combination of determining and dynamic codes, as well as socio-economic memory and innovative heredity of the territory, is clarified. Three components of the socio-economic genotype of a region are identified: production, social, and innovation codes. Developed methodological tools have allowed to typify industrial regions of the Russian Federation, to provide a scientifically based definition of the distinctive features of the regions that are industrial leaders of the country. Five significant socio-economic genotypes of an industrial area were distinguished. They differ from each other both in their defining and dynamic codes. The results indicate that Russian industrial regions are heterogeneous in their code, their genotype models are diverse, and, consequently, the practice of management and strategic development of the regions should be based on different fundamentals in accordance with the peculiarities of their genotype.

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Yuliya Gennadievna Myslyakova — PhD in Economics, Senior Research Associate, Institute of Economics of the Ural Branch of the Russian Academy of Sciences; Associate Professor at the Department of Marketing and International Management, Ural State Economic University (Ekaterinburg, Russian Federation; e-mail: jul_jul@inbox.ru).

Elena Alekseevna Shamova — PhD in Economics, Senior Research Associate, Institute of Economics of the Ural Branch of the Russian Academy of Sciences (Ekaterinburg, Russian Federation; e-mail: heleneo@mail.ru).

Marina Germanovna Ezhova — PhD in Agriculture, Associate Professor at the Department of Enterprise Economics, Ural State Economic University (Ekaterinburg, Russian Federation; e-mail: marinaezh@mail.ru).

Vera Vitalyevna Kirillova — PhD in Agriculture, Senior Curator, Representative Office of FPA «Synergy» (Ekaterinburg, Russian Federation, e-mail: VKirillova@synergy.ru).

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