Cluster analysis and classification of Russia’s industrial oriented regions  by economic specialization

Occupation: Senior Scientific Researcher
Affiliation: Udmurt Branch of the Institute of Economics of the Ural Branch of the Russian Academy of Sciences
Address: Russian Federation, Izhevsk

Ekaterina Kasatkina

Occupation: Associate Professor
Affiliation: Kalashnikov Izhevsk State Technical University
Address: Russian Federation, Izhevsk

Veniamin Livchits

Occupation: Principal Scientific Researcher
Affiliation: Federal Research Center "Informatics and Management" of the Russian Academy of Sciences
Address: Russian Federation, Moscow

Journal name

Ekonomika i matematicheskie metody

Edition

Volume 58 Issue 1

Pages

80-91

Abstract

In the context of high socio-economic differentiation of the constituent entities of the Russian Federation (RF), the research tasks of their classification is highly relevant, since such classification contributes to the identification of homogeneous groups of regions; each group has its own particularity. The purpose of the research was to classify the industrially oriented regions of the RF by the nature of their economic specialization and to develop the necessary economic and mathematical methods. The classification of regions according to the criterion of their economic specialization was carried out using intelligent mathematical methods of cluster analysis. To solve the research problem, an adapted k-means algorithm was developed. The result of clustering was the division of industrial regions’ aggregate into twelve classes. Also, the result of the research was a meaningful interpretation of the identified clusters. In particular, a differentiated assessment of the economic indicators of the regions was compiled, taking into account the specifics of each cluster. The clustering also made it possible to compile descriptive characteristics of clusters which corresponding to the concept of a three-sector model of the economy (Fisher–Clark) and is based on a quantitative assessment of the of diversification of the regions. The results of our research made it possible to clarify some regularities that are essential for the spatial development of the country's economy, which may be important for increasing the effectiveness of industrial, innovation, and fiscal policy of state administration.

Keywords

regional economy, sustainable development, spatial development, industrially oriented regions, economic specialization, diversification of the region's economy, cluster analysis, machine learning

Acknowledgment

The article was prepared according to the Program of Fundamental Scientific Research of the State Academies of Sciences and the research plan of the Institute of Economics of the Ural Branch of the Russian Academy of Sciences for 2021–2023 (theme "Methodology of innovative development of region-oriented systems in an unstable economic environment").

Received

27.02.2022

Publication date

18.03.2022

Number of characters

30019

Cite

GOST	Shatalova O., Kasatkina E., Livchits V. Cluster analysis and classification of Russia’s industrial oriented regions by economic specialization // Ekonomika i matematicheskie metody – 2022. – V. 58. – Issue 1 C. 80-91 [Electronic resource]. URL: https://emm.jes.su/S042473880018971-7-1 (circulation date: 23.07.2024). DOI: 10.31857/S042473880018971-7
MLA	Shatalova, Olga, Kasatkina, Ekaterina, Livchits, Veniamin "Cluster analysis and classification of Russia’s industrial oriented regions by economic specialization." Ekonomika i matematicheskie metody 58.1 (2022):80-91. DOI: 10.31857/S042473880018971-7
APA	Shatalova O., Kasatkina E., Livchits V. (2022). Cluster analysis and classification of Russia’s industrial oriented regions by economic specialization. Ekonomika i matematicheskie metody 58(1), pp.80-91 DOI: 10.31857/S042473880018971-7

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