S. M. Nikonorov, 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
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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.
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