Assessment of the Development of the Social Infrastructure of Russian Regions and its Impact on Demographic Processes

The subject of the study is the demographic development of the regions of the Russian Federation. The dynamics of the key indicators at the federal and local levels define the relevance of the issue. State financial resources aimed at implementing measures to stimulate fertility growth and increase life expectancy often fall flat. The aim of the study is to determine the impact of the elements of the regional social infrastructure on demographic processes. The research methods follow from assessing particular parameters of social infrastructure development, and Rosstat statistical data for 2010–2018, as well as data by the Ministry of Finance of the Russian Federation. The authors carried out a structural, correlation data analysis, formed a complex of regression equations, and used the methods of normalization and ranking of indicators. The study resulted in an approach to the sequential convolution of particular indicators, which characterize the development of individual areas of social infrastructure, into integrated indicators for the considered areas; the following determination of the integral indicator of the development of regional social infrastructure as a whole. The authors calculated integral indicators of social infrastructure development for the identified areas in the constituent entities of the Russian Federation. The scientific novelty of the approach consists in developing a set of integrated indicators, based on the assessment of social infrastructure development aimed at the indicators of natural and migration movement of the population. The authors concluded that the development of public policy measures in the field of demographic development, as well as an appropriate financial base, should consider the impact of social infrastructure elements on the components of demographic development. The results can be useful for building a comprehensive model of socio-economic development of the Russian regions.

social infrastructure, public funding, demographic processes, correlation analysis, standardization of indicators, provision of services, regions of Russia

1. Oidup T. M., Adadimova L. Yu., Chupikova S. A. Analysis of alternative methods of financial support of social infrastructure. Ekonomicheskii analiz: teoriya i praktika = Economic Analysis: Theory and Practice. 2015;(2):28–35. (In Russ.).

2. Vasil’eva O.N., Zhakhov N. V., Likhacheva V. V., Likhacheva E. V., Petechel T. A., Romanov E. V., Tupikina E. N., Khablak V. V., Yurchenko A. A. Socio-economic development: Problems and solutions. Stavropol: Logos; 2015. 156 p. (In Russ.).

3. Boeri A., Longo D., Gianfrate V., Lorenzo V. Resilient communities. Social infrastructures for sustainable growth of urban areas. A case study. International Journal of Sustainable Development and Planning. 2017;12(2):227–237. DOI: 10.2495/SDP-V12-N2–227–237

4. Vaznoniene G., Pakeltiene R. Methods for the assessment of rural social infrastructure needs. European Countryside. 2017;9(3):526–540. DOI: 10.1515/euco-2017–0031

5. Chin M. S., Chou Y. K. Modelling social infrastructure and economic growth. Australian Economic Papers. 2004;43(2):136–157.

6. Altuf’eva T. Yu., Ivanov P. A., Sakhapova G. R. Financing the development of territorial entities at different stages of the life cycle: Public and private resources. Izvestiya Ufimskogo nauchnogo tsentra RAN = Proceedings of the RAS Ufa Scientific Centre. 2019;(3):53–60. (In Russ.). DOI: 10.31040/2222–8349–2019–0–3–53–60

7. Kokurin D. I., Nazin K. N. Formation and implementation of the infrastructure potential of the Russian economy. Moscow: TransLit; 2011. 336 p. (In Russ.).

8. Sardarov T. Social infrastructure regulating in an emerging economy. Academy of Strategic Management Journal. 2018;17(3):1–12.

9. Amador-Jimenez A., Willis C. J. Demonstrating a correlation between infrastructure and national development. International Journal of Sustainable Development & World Ecology. 2012;19(3):197–202. DOI:10.1080/13504509.2011.644639

10. Kou L., Xu H., Hannam K. Understanding seasonal mobilities, health and wellbeing to Sanya, China. Social Science and Medicine. 2017;177:87–99. DOI: 10.1016/j.socscimed.2017.01.051

11. Aitova Yu. S. The quality of education as a factor in the formation of migration flows in the Russian Federation. Vestnik Tyumenskogo gosudarstvennogo universiteta. Sotsial’no-ekonomicheskie i pravovye issledovaniya = Tyumen State University Herald. Social, Economic, and Law Research. 2018;4(2):80–93. (In Russ.). DOI: 10.21684/2411–7897–2018–4–2–80–93

12. Bun’kovskii D. V. Legal and illegal entrepreneurship in modern conditions. Irkutsk: East Siberian Inst. of the RF Ministry of Internal Affairs; 2019. 173 p. (In Russ.).

13. Martyshenko S. N. Analysis of monitoring data on socio-economic processes in municipalities. Informatsionnyye tekhnologii modelirovaniya i upravleniya. 2012;(6):506–512. (In Russ.).

14. Sturiale L., Scuderi A. The evaluation of green investments in urban areas: A proposal of an eco-social-green model of the city. Sustainability. 2018;10(12):4541. DOI: 10.3390/su10124541

15. Kobzeva A. Yu., Ataeva A. G. Basic factors of the formation of labor potential of the region in the context of strengthening intermunicipal ties of urban agglomerations. Fundamental’nyye issledovaniya = Fundamental Research. 2015;(11–6):1184–1189. (In Russ.).

16. Maniu I., Maniu G. C. Educational marketing: Factors influencing the selection of a university. SEA Practical Application of Science. 2014; II(5):37–42.

17. Ulyaeva A. G., Migranova L. I. Study of the processes of pendulum labor migration in the urban agglomeration. Vestnik Belgorodskogo universiteta kooperatsii, ekonomiki i prava = Herald of the Belgorod University of Cooperation, Economics and Law. 2017;(5):179–193. (In Russ.).

18. Nizamutdinov M. M., Oreshnikov V. V. An approach to identifying factors in the formation of migration processes in the regions of Russia. Ekonomicheskii analiz: teoriya i praktika = Economic Analysis: Theory and Practice. 2018;17(5):906–918. (In Russ.). DOI: 10.24891/ea.17.5.906

19. Fattakhov R. V., Nizamutdinov M. M., Oreshnikov V. V. Tools for substantiating the parameters of the region’s strategic development based on adaptive-simulation modeling. Region: ekonomika i sotsiologiya = Region: Economics and Sociology. 2017;(1):101–120. (In Russ.). DOI: 10.15372/REG20170105

20. Akhmetov T. R. The quality of innovative growth as the main criterion for substantiating the priorities of territorial development. Regional’naya ekonomika: teoriya i praktika = Regional Economics: Theory and Practice. 2019;17(5):818–834. (In Russ.). DOI: 10.24891/re.17.5.818