V. V. Glinskiy, L. K. Serga, M. A. Alekseev. Model Representation of Adjustable Differentiation of Regional Socio-Economic Systems

UDК 332.1

doi: 10.15507/2413-1407.124.031.202303.477-497

Abstract

Introduction. According to the law of differentiation, the uneven development of the elements of the system leads to its heterogeneity and is a necessary precondition for the process of evolution. By weakening the links between the elements of the system, differentiation initiates disturbances during coordination processes. The objectively existing contradiction in the organization of socio-economic systems between coordination and differentiation can be overcome by managing the process of differentiation of the elements of the system. The aim of the study is to build an economic and mathematical model of regulated differentiation of regional socio-economic systems (subjects of the Russian Federation, the country as a whole), allowing to establish the conditions and limitations of equilibrium trajectories of their functioning, as well as to determine the parameters of differentiation that stimulates economic growth.

Materials and Methods. The hypothesis of the study is an assumption about the influence of intra-territorial differentiation on economic growth and socio-economic development of the region. The methodological approach based on the representation of the model of uneven development of territories in comparison with the dynamic characteristics of their economic development is proposed and implemented. The approach is based on the study of the properties of nonlinear autonomous dynamic systems. The model is presented in the form of a system of differential equations in the space of values of the decile coefficient of differentiation and gross regional product per capita.

Results. The calculations carried out on statistical data for the constituent entities of the Russian Federation for 2 years empirically confirmed the hypothesis put forward about the impact of intra-territorial differentiation on the economic development of the constituent entities of the Russian Federation. The results obtained complement the theoretical ideas about the stimulating effects of uneven territorial development and confirm the consistency of the provisions of the concept of regulated differentiation of socio-economic development of territories.

Discussion and Conclusion. The scope of application of the research results consists in the possibility of building a dynamic economic-mathematical model of regulated differentiation of regional socio-economic systems (subjects of the Russian Federation, the country as a whole), allowing to determine the parameters of differentiation that stimulates economic growth, and the development on its basis of normative strategies for territorial development.

Keywords: Uneven development, concept of regulated differentiation, “stimulating” level of differentiation, economic growth, sustainable development

Conflict of interests. The authors declare that there is no conflict of interest.

Funding. The research was carried out at the expense of a grant from the Russian Science Foundation No. 22-28-00629 “Methodology for constructing the Ecological Barometer based on artificial intelligence technologies” (https://rscf.ru/project/22-28-00629/).

For citation: Glinskiy V.V., Serga L.K., Alekseev M.A. Model Representation of Adjustable Differentiation of Regional Socio-Economic Systems. Russian Journal of Regional Studies. 2023;31(3):477–497. https://doi.org/10.15507/2413-1407.124.031.202303.477-497

REFERENCES

1. Glinskiy V.V., Serga L.K., Bulkina A.M. Differentiation of Municipal Entities as a Factor of Economic Development of Territories. Voprosy statistiki. 2016;(8):46–52. Available at: https://voprstat.elpub.ru/jour/article/view/377 (accessed 25.01.2023). (In Russ., abstract in Eng.)

2. Animitsa E.G., Animitsa P.E., Denisova O.Yu. Evolution of Knowledge about Distribution of Productive Forces. Economy of Regions. 2014;(2):21–32. (In Russ., abstract in Eng.) https://doi.org/10.17059/2014-2-2

3. Zharkova E.S. Economic Theories of Industrial Allocation: from the Standort to Clusters. St. Petersburg University Journal of Economic Studies. 2011;(1):145–150. Available at: https://economicsjournal.spbu.ru/article/view/2812 (accessed 25.01.2023). (In Russ., abstract in Eng.)

4. Khokhlova O.A. Statistical Assessment of Social and Economic Asymmetry of Municipalities. Voprosy statistiki. 2006;(2):32–38. (In Russ., abstract in Eng.) EDN: HTBYZD

5. Zaitseva Yu.S. Interregional Differentiation in BRIC Countries: Possibilities for Assessment. World Economy and International Relations. 2010;(5):44–51. (In Russ., abstract in Eng.) https://doi.org/10.20542/0131-2227-2010-5-44-51

6. Krivoshey V.A. [State Regulation of Regional Differentiation of the Level and Quality of Life of the Population]. Fundamental and Applied Research Studies of the Economics Cooperative Sector. 2013;(6):35–40. Available at: https://www.ruc.su/science/publications/nauchno_teoreticheskiy_zhurnal/ (accessed 25.01.2023). (In Russ., abstract in Eng.)

7. Glinskiy V.V., Serga L.K. Adjustable Differentiation as a Mechanism of Sustainable Development. Scientific Works of the Free Economic Society of Russia. 2020;222:297–310. (In Russ., abstract in Eng.) https://doi.org/10.38197/2072-2060-2020-222-2-297-310

8. Gluschenko K.P. On Estimation of Inter-Regional Inequality. Spatial Economics. 2015;(4):39–58. (In Russ., abstract in Eng.) https://doi.org/10.14530/se.2015.4.039-058

9. Arkhipova L.S., Gagarina G.Yu. Spatial Differentiation of Russian Regions and their Competitiveness. Bulletin of Udmurt University. Series Economics and Law. 2015;25(4):19–27. Available at: https://journals.udsu.ru/econ-law/article/view/3359/3301 (accessed 25.01.2023). (In Russ., abstract in Eng.)

10. Malkina M.Yu. Evaluation of the Factors of Russian Regions’ Convergence / Divergence in the Level of Budget Provision Based on the Decomposition of the Theil – Bernoulli Index. Spatial Economics. 2016;(3):16–37. (In Russ., abstract in Eng.) https://doi.org/10.14530/se.2016.3.016-037

11. Teslin V.G. Asymmetry in Development of Investment Processes in the Central Russia. Transport Business of Russia. 2009;(1):22–25. (In Russ., abstract in Eng.) EDN: JXVGWD

12. Lavrovskiy B.L. Regional Asymmetry in Russian Federation: Estimation and Approaches to its Reduction. HSE Economic Journal. 2003;7(4):524–537. Available at: https://ej.hse.ru/2003-7-4/26560890.html (accessed 25.01.2023). (In Russ., abstract in Eng.)

13. Bufetova A.N., Kolomak E.A. National Heterogeneity in the Russian Regions: Assessment, Change, Impact on Economic Development. Voprosy ekonomiki. 2021;(1):120–142. (In Russ., abstract in Eng.) https://doi.org/10.32609/0042-8736-2021-1-120-142

14. Baranov S.V., Skufina T.P. Comparative Dynamics of Economic Growth and Interregional Differentiation of the Torthern Region of Russia. Voprosy statistiki. 2015;(11):69–77. Available at: https://voprstat.elpub.ru/jour/article/view/285 (accessed 25.01.2023). (In Russ., abstract in Eng.)

15. Moroshkina M.V. Trans-Regional Differentiation of Subjects of the Russian Federation. Economic Analysis: Theory and Practice. 2014;(45):20–26. Available at: https://www.fin-izdat.ru/journal/analiz/detail.php?ID=64112 (accessed 25.01.2023). (In Russ., abstract in Eng.)

16. Pogodina E.A., Kataev E.N. An Assessment of Differentiation Degree of Economic and Social Development of the Volga Federal District’s Regions. National Interests: Priorities and Security. 2014;(21):30–37. Available at: https://www.fin-izdat.ru/journal/national/detail.php?ID=62012 (accessed 25.01.2023). (In Russ., abstract in Eng.)

17. Minakov V.F. Information Processes in the Formation of Hype Cycles. Territory Development. 2021;(2):76–82. (In Russ., abstract in Eng.) https://doi.org/10.32324/2412-8945-2021-2-76-82

18. Alekseev M.A. The Model of a Company’s Financial Cycle and Behavior in Financial Market Information Space. Vestnik NSUEM. 2017;(3):131–146. Available at: https://nsuem.elpub.ru/jour/article/view/1063/661 (accessed 25.01.2023). (In Russ., abstract in Eng.)

19. Borisov V.N., Pochukaeva O.V. Developing Import Substitution as a Result of the Growth of the Competitiveness of Investment Equipment. Territory Development. 2021;(2):10–18. (In Russ., abstract in Eng.) https://doi.org/10.32324/2412-8945-2021-2-10-18

20. Kolomak E.A. Spatial Development of Russia in XXI Century. Spatial Economics. 2019;15(4):85–106. (In Russ., abstract in Eng.) https://dx.doi.org/10.14530/se.2019.4.085-106

21. Akhmeduev A.Sh. Problems of Excessive Polarization of the Level of Social-Economic Development of the Regions of Russia and Imperatives of Modernization of the State Regional Policy. Regional Problems of Transforming the Economy. 2017;(6):37–51. Available at: http://www.rppe.ru/new/index.php/rppe/article/view/589/513 (accessed 25.01.2023). (In Russ., abstract in Eng.)

22. Glinskiy V.V., Serga L.K., Alekseev M.A. Territorial Differentiation as the Factor of Sustainable Economic Development. Procedia Manufacturing. 2020;43:263–268. https://doi.org/10.1016/j.promfg.2020.02.152

23. Glinskiy V., Serga L., Novikov A., Bulkina A., Litvintseva G. Investigation of Correlation between the Regions Sustainability and Territorial Differentiation. Procedia Manufacturing. 2017;8:323–329. https://doi.org/10.1016/j.promfg.2017.02.041

Submitted 12.02.2023; revised 24.03.2023; accepted 05.04.2023.

About the authors:

Vladimir V. Glinskiy, Dr. Sci. (Econ.), Professor, Head of the Research Laboratory “Sustainable Development of Socio-Economic Systems”, Siberian Institute of Management – branch of the Russian Presidential Academy of National Economy and Public Administration (6 Nizhegorodskaya St., Novosibirsk 630102, Russian Federation); Professor of the Department of Statistics, Novosibirsk State University of Economics and Management (56 Kamenskaya St., Novosibirsk 630099, Russian Federation), ORCID: https://orcid.org/0000-0002-7149-3020, Researcher ID: B-1136-2016, Scopus ID: 56790071400, s444@ngs.ru

Lyudmila K. Serga, Cand. Sci. (Econ.), Associate Professor, Head of the Department of Business Analytics and Statistics, Siberian Institute of Management – branch of the Russian Presidential Academy of National Economy and Public Administration (6 Nizhegorodskaya St., Novosibirsk 630102, Russian Federation); Associate Professor of the Department of Statistics, Novosibirsk State University of Economics and Management (56 Kamenskaya St., Novosibirsk 630099, Russian Federation), ORCID: https://orcid.org/0000-0002-8934-8876, Researcher ID: F-4352-2017, Scopus ID: 56790089700, serga-lk@ranepa.ru

Mikhail A. Alekseev, Dr. Sci. (Econ,), Associate Professor, Leading Researcher at the Research Laboratory “Sustainable Development of Socio-Economic Systems”, Professor of the Department of Business Analytics and Statistics, Siberian Institute of Management – branch of the Russian Presidential Academy of National Economy and Public Administration (6 Nizhegorodskaya St., Novosibirsk 630102, Russian Federation); Professor of the Department of Statistics, Novosibirsk State University of Economics and Management (56 Kamenskaya St., Novosibirsk 630099, Russian Federation), ORCID: https://orcid.org/0000-0002-9678-297X, Researcher ID: AAE-8562-2021, Scopus ID: 57202749050, alekseev-ma@ranepa.ru

Contribution of the authors:

V. V. Glinskiy – development of research methodology; formulation of a scientific problem; data collection; analysis of results; conclusions and applications.

L. K. Serga – literature review on the research topic; data collection; numerical experiment; analysis of results; conclusions and applications.

M. A. Alekseev – building a model; collecting data; numerical experiment; analysis of results; conclusions and applications.

The authors have read and approved the final version of the manuscript.

Appendix 1
 

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