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Original Paper

UDC 338.12 © L.N. Babkina, T.P. Skufina, V.V. Levites, O.V. Skotarenko, E.S. Khatsenko, 2022

ISSN 0041-5790 (Print) • ISSN 2412-8333 (Online) • Ugol’ – Russian Coal Journal, 2022, № 6, pp. 35-40

DOI: http://dx.doi.org/10.18796/0041-5790-2022-6-35-40


Мathematical tools for selecting strategies for sustainable economic development of the regions of the Аrctic zone of the Russian Federation


Babkina L.N.1, Skufina T.P.2, Levites V.V.3, Skotarenko O.V.3, Khatsenko E.S.4


1North-Western Institute of Management, Branch of the Russian Presidential Academy of National Economy and Public Administration attached to the President of the Russian Federation

2Luzin Institute for Economic Studies Federal Research Centre «Kola Science Centre of the Russian Academy of Sciences», Apatity,184209,Russian Federation

3Murmansk Arctic State University Murmansk, 183038, Russian Federation

4Murmansk regional government, Murmansk, 183038, Russian Federation


Authors Information

Babkina L.N., Doctor of Economics Sciences, Professor, Professor of the Department of State and Municipal Administration, Saint Petersburg, 199178, Russian Federation, e-mail: babkina-ln@ranepa.ru

Skufina T.P., Doctor of Economics Sciences, Professor, Chief Researcher,e-mail: skufina@gmail.com

Levites V.V.,PhD of Philosophy (Pedagogical), Decan of the Faculty of Mathematical and Natural Sciences, e-mail: levites.vera@masu.edu.ru

Skotarenko O.V., Doctor of Economics Sciences, Associated professor, Professor of the Department of Economics and Management, e-mail: ksen-13@mail<st1< a="">:personname >.ru

Khatsenko E.S., PhD of Philosophy (Economics), Associated professor, Chief Of Youth department, e-mail: egor-mur@bk<st1< a="">:personname >.ru


The article presents three three-factor models of dependence of the gross regional product as an effective indicator of economic activity on factor indicators describing the economic condition of certain sectors and activities in the region. These factor indicators are chosen from the list of main socioeconomic indicators from annual Russian government statistics reports. To study the eco-nomic dynamics in the selected sectors and activities in four Russian Arctic regions, we compiled statistical arrays for 15 years, from 2005 to 2019. The models helped carry out a correlation-regression analysis based on formulated and calculated equations of regression for each Arctic region, namely, Murmansk Oblast and three Autonomous Okrugs: Nenets, Yamalo-Nenets, and Chukotka. The calculation results showed that the models were accurate and reliable and helped divide all of the factor indicators into several groups by correlation coefficient value. For further studies and in order to identify promising sectors and activities, two criteria were used to select factor indicators: a correlation coefficient above 0.81, which shows a considerable influence on the gross regional product, and an elasticity coefficient above 0.5%, which shows that a change in a factor indicator by 1% will result in a more than 0.5% change in the gross regional product. As a result, there were only three factor indicators left for each region. Those should be called key factors of strategic development. Based on those indicators, new models were developed for each region, accompanied by short-term projections of change in the factor indicators, which made it possible to make similar projections of change in the gross regional product.


The arctic zone, Northern region, Economic space, Socio-economic forecasting, Comprehensive development plan.


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The study includes the results obtained through the RNF grant No. 19-18-00025


For citation

Babkina L.N., Skufina T.P., Levites V.V., Skotarenko O.V. & Khatsenko E.S. Econometric modeling of the sectoral program for the development and functioning of coal-industrial clusters in the regional economy.Ugol’, 2022, (6), pp. 35-40. (In Russ.). DOI: 10.18796/0041-5790-2022-6-35-40.

Paper info

Received May 18, 2022

Reviewed May 20, 2022

Accepted May 23, 2022


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