S. M. Nikonorova, A. I. Krivichev, A. N. Nasonov, I. V. Tsvetkov. Methodology for Assessing and Ranking of the Socio-Economic Development of Single-Industry Towns Based on Multifactor Analysis of Fractal Indicators

doi: 10.15507/2413-1407.127.032.202402.326-344

UDК 332.012.2:331

Abstract

Introduction. Assessment of urbanized areas in terms of their sustainable development and rational use of resource and environmental potential remains the most demanded in modern conditions, because in certain cases it opens up opportunities for preventive management of anthropogenically disturbed areas. The aim of the study is to rank single-industry towns by a number of indicators by means of multifactor analysis of socio-economic indicators of single-industry towns and using systemic and fractal approaches.

Materials and Methods. The study was carried out on the basis of a multifactor analysis of socio-economic indicators of single-industry towns, using systemic and fractal approaches. Existing methods for assessing the socio-economic sustainable development of a region and developing integrated regional indicators are analyzed. The authors' methodology was used, which can be considered as the development of existing methods and the development of new methods for indicating and ranking socio-economic processes from the point of view of their sustainability.

Results. A new methodology for socio-economic assessment and ranking of single-industry towns has been developed based on multifactor analysis of fractal indicators of their life support: social, economic, resource and environmental. Using the proposed methodology, single-industry towns of the Arkhangelsk Region were ranked according to an integrated fractal indicator of classes of socio-economic processes that indicate the quality of life support of the single-industry towns under consideration, potential risks and the sustainability of their development.

Discussion and Conclusion. The developed methodology verifies and complements the existing criteria for transferring single-industry towns from one category to another. It allows, by introducing certain indicators, to assess the sustainability of the socio-economic development of single-industry towns and the possibility of diversifying their economies, and is also a useful practical tool for federal, regional and municipal institutions specializing in managing the development of territories.

Keywords: single-industry town, sustainable development, socio-economic processes, indicator of socio-economic development, ranking of the level of socio-economic development

Conflict of interest. The authors declare no conflict of interest.

For citation: Nikonorov S.M., Krivichev A.I., Nasonov A.N., Tsvetkov I.V. Methodology for Assessing and Ranking of the Socio-Economic Development of Single-Industry Towns Based on Multifactor Analysis of Fractal Indicators. Russian Journal of Regional Studies. 2024;32(2):326–344. https://doi.org/10.15507/2413-1407.127.032.202402.326-344

REFERENCES

1. Ben R.M. Company Towns of the Russian Federation ‒ Questions about the Future. Arkhont. 2019;(1):107‒112. (In Russ., abstract in Eng.) EDN: YZXSRF

2. Voroshilov N.V., Gubanova E.S. Assessment of the Level of Socio-Economic Development in Municipal Formations of the Vologda Oblast. Economic and Social Changes: Facts, Trends, Forecast. 2014;(6):54–69. (In Russ., abstract in Eng.) https://doi.org/10.15838/esc/2014.6.36.5

3. Druzhinin P.V., Shcherbak A.P., Tishkov S.V. Modeling the Interdependence of the Economy and Power Industry Based on Multiplicative Two-Factor Functions. Studies on Russian Economic Development. 2018;29(3):280‒287. https://doi.org/10.1134/S1075700718030036

4. Pavlov Yu.V. Regional Settlement System Balance: Assessment under Zipf’s Law and Impact on the Regional Development. Territorial Development Issues. 2020;8(2):2–14. (In Russ., abstract in Eng.) https://doi.org/10.15838/tdi.2020.2.52.1

5. Titova I.N. Factor Analysis of the Central Black Earth Macroregion Areas Economic Development. Tyumen State University Herald. Social, Economic, and Law Research. 2021;7(1):168‒187. (In Russ., abstract in Eng.) https://doi.org/10.21684/2411-7897-2021-7-1-168-187

6. Ayubov E. Foreign and Domestic Experience in Assessing the Level of Socio-Economic Development of Territories. Civil Security Technology. 2022;19(1):36–40. (In Russ., abstract in Eng.) https://doi.org/10.54234/CST.19968493.2022.19.1.71.8.36

7. Stryabkova E.A., Glotova A.S., Titova I.N., Lyshchikova J.V., Chistnikova I.V. Modeling and Forecasting of Socio-Economic Development of the Region. The Journal of Social Sciences Research. 2018;(5):404‒410. https://doi.org/10.32861/jssr.spi5.404.410

8. Lapin A.E., Vuiko M.B. Models of Regional Development in the Russian Federation and Investment Strategies. Russian Journal of Regional Studies. 2019;27(1):10‒29. (In Russ., abstract in Eng.) https://doi.org/10.15507/2413-1407.106.027.201901.010-029

9. Panova E.A., Andryushina E.V. Russian Monotowns: Factors of Socio-Political Conflicts Extension. Public Administration. E-Journal. 2021;(88):134‒145. (In Russ., abstract in Eng.) https://doi.org/10.24412/2070-1381-2021-88-134-145

10. Frolov A.A. Single-Industry Towns as a Traditional Element of the Russian Economic System: Historical and Politological Aspects. Issues of National and Federative Relations. 2023;13(10):4185‒4197. (In Russ., abstract in Eng.) EDN: AVXFWR

11. Shastitko A.E., Fatikhova A.F. Company Towns in Russia: Some Thoughts on Development Alternatives. Public Administration. E-Journal. 2019;(76):109‒135. (In Russ., abstract in Eng.) https://doi.org/10.24411/2070-1381-2019-10006

12. Sekushina I.A. The Social Infrastructure in Small and Medium Cities in the Komi Republic. Social Area. 2019;(3). (In Russ., abstract in Eng.) https://doi.org/10.15838/sa.2019.3.20.3

13. Aleksandrova M.V. Resource-Based Cities of the PRC: Historical Background and Issues. Russian China Studies Scientific Journal. 2023;4(3):33‒52. (In Russ., abstract in Eng.) https://doi.org/10.48647/ICCA.2023.12.82.003

14. Huang Y., Zhang S., Bao X.-L., Yao M.-H., Wang Y. Survey on Fractality in Complex Networks. In: Patnaik S., Jain V. Recent Developments in Intelligent Computing, Communication and Devices. Springer; 2019. Pp. 675‒692. https://doi.org/10.1007/978-981-10-8944-2

15. Karmakar A. Fractal Antennas and Arrays: A Review and Recent Developments. International Journal of Microwave and Wireless Technologies. 2021;13(2):173‒197. https://doi.org/10.1017/S1759078720000963

16. Lei W., Zeng X., Yang H., Lv X., Guo F., Shi Y., et al. Investigation and Application of Fractal Theory in Cement-Based Materials: A Review. Fractal and Fractional. 2021;5(4):247. https://doi.org/10.3390/fractalfract5040247

17. Du Z.-J., Luo H.-Y., Lin X.-D., Yu S.-M. A Trust-Similarity Analysis-Based Clustering Method for Large-Scale Group Decision-Making under a Social Network. Information Fusion. 2019;63:13‒29. https://doi.org/10.1016/j.inffus.2020.05.004

18. Tan Z.-X., Cheong K.H. Periodic Habitat Destruction and Migration Can Paradoxically Enable Sustainable Territorial Expansion. Nonlinear Dynamics. 2019;98:1‒13. https://doi.org/10.1007/s11071-019-05094-3

19. Block P., Hoffman M., Raabe I.J., Dowd J.B., Rahal C., Kashyap R., et al. Social Network-Based Distancing Strategies to Flatten the COVID-19 Curve in a Post-Lockdown World. Nature Human Behaviour. 2020;4(6):588‒596. https://doi.org/10.1038/s41562-020-0898-6

20. Nasonov А.N. Classification of Environmental Risks Disturbance to Ecosystem Resilience. Grozny Natural Science Bulletin. 2022;7(1):33‒­43. https://doi.org/10.25744/genb.2022.55.24.004

21. Nikonorov S.M., Krivichev A.I., Nasonov A.N., Tsvetkov I.V. Development Strategizing of Urban Systems Based on Multifractal Dynamics. Strategizing: Theory and Practice. 2022;2(3):360–376. (In Russ., abstract in Eng.) https://doi.org/10.21603/2782-2435-2022-2-3-360-376

22. Voloshin U.G., Malakhova O.A., Podvalny E.S., Vorobyova S.A. Monogorod: Problems and Modern Development. Region: gosudarstvennoe i munitsipalnoe upravlenie. 2020;(1):2. EDN: GKKHGB

About the authors:

Sergey M. Nikonorov, Dr.Sci. (Econ.), Professor of the Chair of Environmental Economics, Lomonosov Moscow State University (1 Leninskie Gory, Moscow 119991, Russian Federation), ORCID: https://orcid.org/0000-0002-8205-2140, Scopus ID: 56818917500, nico.73@mail.ru

Alexander I. Krivichev, Cand.Sci. (Econ.), Associate Professor, Chair of Real Estate Management and Territory Development, Moscow State University of Geodesy and Cartography (4 Gorokhovskiy Pereulok, Moscow 105064, Russian Federation), ORCID: https://orcid.org/0000-0002-4971-5264, Researcher ID: V-5920-2017, krivichev@live.ru

Andrey N. Nasonov, Cand.Sci. (Eng.), Associate Professor, Chair of Real Estate Management and Territory Development, Moscow State University of Geodesy and Cartography (4 Gorokhovskiy Pereulok, Moscow 105064, Russian Federation), ORCID: https://orcid.org/0000-0001-7201-3407, Scopus ID: 6701836873, adn22@yandex.ru

Ilya V. Tsvetkov, Dr.Sci. (Eng.), Professor of the Chair of General Mathematics and Mathematical Physics, Tver State University (33 Zhelyabova St., Tver 170100, Russian Federation), ORCID: https://orcid.org/0000-0002-5284-880X, Scopus ID: 56186407300, mancu@mail.ru

Contribution of the authors:

S. M. Nikonorov − conducting a literature review; conducting an experimental study; analysis and synthesis of research results; drafting the initial version of the article.

A. I. Krivichev ‒ concept of the article; conducting an experimental study; work with literature; analysis and generalization of the results of the study; work with the text of the manuscript.

A. N. Nasonov ‒ conducting an experimental study; analysis and generalization of the results of the study; work with the text of the manuscript.

I. V. Tsvetkov − conducting an experimental study; analysis and generalization of the results of the study; critical analysis and revision of the text.

Availability of data and materials. The datasets used and/or analyzed during the current study are available from the authors on reasonable request.

The authors have read and approved the final manuscript.

Submitted 02.09.2023; revised 09.11.2023; accepted 22.11.2023.