Development of the industrial sector in the Russian regions − cluster analysis

In the course of the study, a cluster analysis of Russian regions was performed based on characteristics associated with industrial and economic development. As a result, it was established that there is a direct correlation between the level of industrial production and general indicators of economic well-being of the regions such as gross regional product (hereinafter referred to as GRP) and GRP per capita. Within the framework of the cluster analysis, on the basis of above mentioned characteristics, the regions were divided into three groups. The most numerous of them is the group of regions with the lowest level of development. This is primarily due to the uneven distribution of natural resources throughout the country, when a small number of regions have faster development of the mining sector compared to others. Although it is worth noting that the development of the manufacturing industry also has a significant impact on economic well-being. Therefore, the first group, consisting of the most successful regions in terms of economic and industrial indicators, included not only oil-producing and capital regions, but also large industrial centres such as Tatarstan, Sverdlovsk and Chelyabinsk regions. A qualitative analysis of the results showed the success of the current cluster analysis of Russian regions. Only a few uncharacteristic values of indicators were noted which have significant differences for their cluster groups. This mainly applies to oil-producing regions where the level of the extractive sector development is too high compared to the rest of the regions of its group. Although, in general, regarding the sum of indicators, these regions were classified into a specific cluster.

1. Kurbatova M.V., Kagan E.S., Vshivkova A.A. Regional development: addressing the problems of building and realization of scientific and technological capacities. Terra Economicus. 2018;1(16):101–117. http://doi.org/10.23683/2073-6606-2018-16-1-101-117 (In Russian).

2. Piskun E.I., Khokhlov V.V. Economic development of the Russian Federation’s regions: factor-cluster analysis. Economy of region. 2019;15(2):363–376. http://doi.org/10.17059/2019-2-5 (In Russian).

3. Serkov L.A. Inter-regional inflation differential as a consequence of heterogeneity of the Russian economic space. Economy of region. 2020;16(1):325–339. https://doi.org/10.17059/2020-1-24 (In Russian).

4. Poyanova O.S. Mechanisms for reducing regional socio-economic differentiation. International Journal of applied sciences and technologies “Integral”. 2019:4(2):258–264. http://doi.org/10.24411/2658-3569-2019-14043 (In Russian).

5. Sukhovey A.F., Golova I.M. Differentiation of innovative development strategies of regions for improving the effectiveness of socio-economic policy in the Russian Federation. Economy of Region. 2020;16(4):1302–1317. http://doi.org/10.17059/ekon.reg.2020-4-20 (In Russian).

6. Dvoryadkina Ye.B., Sbrodova N.V. The industry as the backbone factor of regional development. Journal of Ural State University of Economics. 2008;3(22):8–13. (In Russian).

7. Idziev G.I. Manufacturing as the foundation of development of the economy of the problem region. Regional problems of transforming the economy. 2015;4(54):51–57. (In Russian).

8. Fomin M.V., Smirnov O.O. Spatial development sustainability of Siberia and the Russian Far East regions. Public Administration Issues. 2022;1:124–147. http://doi.org/10.17323/1999-5431-2022-0-1-124-147 (In Russian).

9. Harchenko I.S., Harchenko L.I. Industry as basis of national economy. State and municipal management. Scholar notes. 2014;2:35–45. (In Russian).

10. Vertakova Yu.V., Ilyasov R.Kh., Plotnikov V.A. Regional differentiation of industry development in modern Russia. Economic Problems and Legal Practice. 2023;3(19):179–184. (In Russian).

11. Aivazian S.A., Afanasiev M.Yu., Kudrov A.V. Indicators of the main directions of socio-economic development in the space of characteristics of regional differentiation. Applied Econometrics. 2019;2(54):51–69. http://doi.org/10.24411/1999-7601-2019-10003 (In Russian).

12. Afanasev V.N., Tsypin A.P. Econometrics in a STATISTICA package: manual on performance of laboratory works. Orenburg: SEI OSU; 2008. 204 p. (In Russian).

13. Budnikova I.K., Pleteneva E.V. Cluster analysis as a function of intelligent data analysis. Information technologies in construction, social and economic systems. 2022;1(27):25–28. (In Russian).

14. Valinurova L.S., Tlyavlin T.R. Cluster analysis of innovation activity in the regions of the Russian Federation. Construction economics. 2022;6:55–61. (In Russian).

15. Sarycheva T.V., Chemekova M.V. Multivariant analysis of the position of the regions of the Russian Federation by socio-economic indicators. Vestnik of the Mari State University. Chapter “Agriculture. Economics.” 2022;3(8):334–348. http://doi.org/10.30914/2411-9687-2022-8-3-334-348 (In Russian).

16. Federal State Statistics Service. Russian regions. Socio-economic indicators. https://rosstat.gov.ru/folder/210/document/13204 (accessed 06.09.2023). (In Russian).