Assessment of the Impact of the Economic Potential of Regions on the Living Standards of the Population

The purpose of the paper is to assess the impact of the region’s economic potential on the standard of living and to develop tools to improve the efficiency of using the financial potential of a constituent entity of the Russian Federation. The object of the study is the regions of the Russian Federation, and the subject is their economic potential and standard of living. At the first stage, we considered the impact of the resource potential of the regions of the Central and Northwestern Federal Districts based on the use of correlation and regression analysis. Modeling has shown that for the regions of the Central and Northwestern Federal Districts, the most significant impact on the standard of living is provided by investment and innovation potentials. In addition, for the Central Federal District, production and labor potentials also have a significant impact, and for the Northwestern Federal District, the general economic potential, represented by the GRP indicator, is significant. In the second stage, we used the k-means method to cluster 85 regions based on the size of their resource potential and standard of living. The analysis showed that most regions have a standard of living that corresponds to and even exceeds the existing economic potential. This situation seems quite natural, since the standard of living in a region is determined not only by the potential of the territory, but also by the potential of the state as a whole. The assessment of the financial reserve available to the regions is based on the concept of fiscal space, which allows assessing the possibilities of mobilizing additional own and borrowed financial resources to address priority issues of the socio-economic development of the territory. The proposed typology of regions by standard of living and by the size of the fiscal space can be used as a tool for assessing the potential of the fiscal space of the region to address the current socio-economic problems of the territory.

1. Kamaletdinov A. Sh., Ksenofontov A.A. Assessment of interregional inequality of tax revenues. Finance: Theory and Practice. 2023;27(1):63-75. DOI: 10.26794/2587-5671-2023-27-1-63-75

2. Nikolaev M.A., Makhotaeva M. Yu., Malyshev D.P. Sustainable development assessment of the NWFD regions. In: Kolmykova T., Kharchenko E., eds. Digital future economic growth, social adaptation, and technological perspectives. Cham: Springer-Verlag; 2020:809-817. (Lecture Notes in Networks and Systems. Vol. 111). DOI: 10.1007/978-3-030-39797-5_79

3. Igonina L.L. On approaches to evaluating the effectiveness of fiscal policy. Mezhdunarodnyi zhurnal prikladnykh i fundamental’nykh issledovanii = International Journal of Applied and Fundamental Research. 2015;(3-1):54-58. URL: https://applied-research.ru/ru/article/view?id=6477 (accessed on 05.07.2024). (In Russ.).

4. Bodrunov S.D., Vertakova Y.V., Nepochatykh O.Y. Improvement of economic policy of the region on the basis of identification of development indicators. Nauchnye vedomosti Belgorodskogo gosudarstvennogo universiteta. Seriya: Ekonomika. Informatika = Belgorod State University Scientific Bulletin. Series: Economics. Information Technologies. 2019;46(4):589-599. (In Russ.). DOI: 10.18413/2411-3808-2019-46-4-589-599

5. Grebenkina S.A. Typology of subsidized regions as a support factor economic security. Estestvennogumanitarnye issledovaniya = Natural Humanitarian Studies. 2020;(29):133-137. (In Russ.). DOI: 10.24411/2309-4788-2020-10244

6. Sigunova T.A. Assessment of the state and development trends of the region based on indicators of economic potential (based on the materials of the Novosibirsk region). Voprosy regional’noi ekonomiki = Problems of Regional Economy. 2021;(4):115-128. (In Russ.). DOI: 10.21499/2078-4023-49-4-115-128

7. Nikulina E.V., Chistnikova I.V., Orlova A.V. Economic potential of regions and assessment of efficiency of its use. Nauchnye vedomosti Belgorodskogo gosudarstvennogo universiteta. Seriya: Ekonomika. Informatika = Belgorod State University Scientific Bulletin. Series: Economics. Information Technologies. 2012;(13):60-65. (In Russ.).

8. Ledneva O. Statistical analysis of trends in Moscow region based on economic potential indicators. Vestnik evraziiskoi nauki = The Eurasian Scientific Journal. 2014;(2):53. (In Russ.).

9. Valinurova L. S., Gazitdinov A. M., Kazakova O.B., Kuzminykh N.A. Higher education and innovation potential in Russian regions: Territorial distribution. Montenegrin Journal of Economics. 2022;18(1):195- 203. DOI: 10.14254/1800-5845/2022.18-1.16

10. Kryshtaleva T. Yu. Assessment method of the state of labour potential in regions of the Russian Federation. Mir ekonomiki i upravleniya = World of Economics and Management. 2017;17(3):35-46. (In Russ.). DOI: 10.25205/2542-0429-2017-17-3-35-46

11. Saifudinova N.Z., Shigapova D.K., Petunin E.I. Financial potential of the region. Kazanskii ekonomicheskii vestnik = Kazan Economic Bulletin. 2020;(2):48-53. (In Russ.).

12. Badylevich R.V. Implementation of the mechanism for the development of the financial potential of the region. Vestnik Altaiskoi akademii ekonomiki i prava = Journal of Altai Academy of Economics and Law. 2022;(12-2):173-181. (In Russ.). DOI: 10.17513/vaael.2635

13. Rogatenyuk E.V. Financial potential for the development of the region: Theoretical aspect. Ekonomika stroitel’stva i prirodopol’zovaniya = Construction Economics and Environmental Management. 2022;(4):31-38. (In Russ.).

14. Mitroshin I.V. Standard of living in some regions of Siberia: Interrelation with various factors. Vestnik Tomskogo gosudarstvennogo universiteta. Ekonomika = Tomsk State University. Journal of Economics. 2022;(60):96-114. (In Russ.). DOI: 10.17223/19988648/60/6

15. Cherednichenko L.G., Gubarev R.V., Dzyuba E.I., Fayzullin F.S. Social development forecast for Russian regions. Finance: Theory and Practice. 2018;22(6):132-152. DOI: 10.26794/2587-5671-2018-22-6-132-152

16. Starikova T.V. The regional typology development in the system of strategic planning. Ekonomika promyshlennosti = Russian Journal of Industrial Economics. 2017;10(2):172-178. (In Russ.). DOI: 10.17073/2072-1633-2017-2-172-178

17. Shakleina M.V., Midov A.Z. Strategic classification of regions according to the level of financial selfsufficiency. Economic and Social Changes: Facts, Trends, Forecast. 2019;12(3):39-54. DOI: 10.15838/ esc.2019.3.63.3 (In Russ.: Ekonomicheskie i sotsial’nye peremeny: fakty, tendentsii, prognoz. 2019;12(3):39-54. DOI: 10.15838/esc.2019.3.63.3).

18. Barykin S. E., Mikheev A. A., Kiseleva E. G., Putikhin Yu.E., Alekseeva N. S., Mikhaylov A. An empirical analysis of Russian regions’ debt sustainability. Economies. 2022;10(5):106. DOI: 10.3390/economies10050106

19. Liu Y., Zaretskaya V.G., Vertakova Yu.V. Assessment of regional differentiation according to the dynamics of the main economic indicators and the level of their convergence. π-Economy. 2023;16(4):60-78. (In Russ.). DOI: 10.18721/JE.16404

20. Heller Р. Fiscal space: What it is and how to get it. Finance and Development. 2005;42(2):32-33. URL: https://www.imf.org/external/pubs/ft/fandd/2005/06/basics.htm

21. Makashina O.V., ed. Russia’s financial system under sanctions pressure. Moscow: RuScience; 2024. 398 p. (In Russ.).