L. N. Lipatova, V. N. Gradusova. State and Possibilities of Strengthening the Labor Potential of Russia (Based on the All-Russian Population Census 2020)

doi: 10.15507/2413-1407.128.032.202403.563-583

UDК 331:314(470+571)

Abstract

Introduction. The most complete information on the size and composition of the population is provided by continuous population censuses, which collect information necessary for the analysis of quantitative and qualitative changes in the composition of the population and the labor force. The purpose of the study is to identify changes in the numerical composition, age structure, and qualitative parameters of the labor potential of the Russian population in the period between the All-Russian population censuses of 2010 and 2020, and to outline ways to strengthen it.

Materials and Methods. The study was based on the results of the All-Russian Population Censuses of 2010 and 2020, current accounting data and forecast calculations of Rosstat, publications of scientists engaged in research in the field of economic demography. The analysis of changes in the demographic development of the Russian Federation in the intercensal period was carried out using the methods of dynamic and structural analysis, and the generalization of the results of published scientific research was made on the basis of critical analysis. Quantitative parameters of the labor potential were estimated on the basis of indicators of the population of working age, employed in the economy, unemployed citizens and potential labor force.

Results. The main changes in the number and composition of the Russian population by age and education that occurred during the inter-census period have been established. The quantitative and qualitative parameters of the labor force are determined. The outstripping growth of the level of education of unemployed citizens and potential labor force in comparison with those employed in the economy has been revealed, which, with a high degree of depreciation of the active part of fixed assets and a large part of workplaces with harmful and dangerous working conditions, suggests the archaic nature of the Russian economy and the general discrepancy between its requests and the level of education of the population. Calculations have shown that due to the involvement of potential labor in public production, it will not be possible to solve the problem of labor shortage.

Discussion and Conclusion. In order to provide the Russian economy with the necessary labor force, it is suggested to consider the following options for increasing the working time fund: temporary increase in the retirement age for women, temporary decrease in the number of holidays, temporary decrease in the duration of paid leave, temporary increase in the length of the working week. The results of the research can be useful for scientists and representatives of public authorities dealing with demographic development, strategic planning, regional development, migration regulation, as well as for specialists in the field of personnel training.

Keywords: continuous population census, natural population movement, international migration, labor potential, economically active population, labor force, potential labor force, labor productivity, archaic structure of the economy

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

For citation: Lipatova L.N., Gradusova V.N. State and Possibilities of Strengthening the Labor Potential of Russia (based on the All-Russian Population Census 2020). Russian Journal of Regional Studies. 2024;32(3):563–583. https://doi.org/10.15507/2413-1407.128.032.202403.563-583

REFERENCES

1. Rozmi A., Nohuddin P.N.E., Abdul Hadi A.R., Bakar M.I.A., Nordin I. Factors Affecting SME Owners in Adopting ICT in Business using Thematic Analysis. International Journal of Advanced Computer Science and Applications. 2020;11(7):208–218. https://doi.org/10.14569/IJACSA.2020.0110727

2. Malik A.K., Yadav K., Singh S., Kumar A. Role of Information and Communication Technology (ICT) in Transforming Higher Education in India: A Review. Indian Journal of Pure & Applied Biosciences. 2019;7(6):176–183. https://doi.org/10.18782/2582-2845.7821

3. Leviäkangas P. Digitalisation of Finland’s Transport Sector. Technological in Society. 2016;47. https://doi.org/10.1016/j.techsoc.2016.07.001

4. Parviainen P., Tihinen M., Kääriäinen J., Teppola S. Tackling the Digitalization Challenge: How to Benefit from Digitalization in Practice. International Journal of Information Systems and Project Management. 2017;5(1):63–77. https://doi.org/10.12821/ijispm050104

5. Mutula S., Van Brakel P. E-readiness of SMEs in the ICT Sector in Botswana with Respect to Information Access. The Electronic Library. 2006;24(3):402–417. https://doi.org/10.1108/02640470610671240

6. Selase A.M., Selase A.E., Ayishetu A.-R., Comfort A.D., Stanley A., Ebenezer G.-A. Impact of Technology Adoption and Its Utilization on SMEs in Ghana. International Journal of Small and Medium Enterprises. 2019;2(2):1–13. https://doi.org/10.46281/ijsmes.v2i2.382

7. Miraz M., Habib M. ICT Adoption in Small and Medium Enterprises: An Empirical Evidence of Service Sectors in Bangladesh. Journal of Economics, Business and Management. 2016;4(8):482–485. https://doi.org/10.18178/joebm.2016.4.8.439

8. Bouncken R.B., Kraus S., Roig-Tierno N. Knowledge- and Innovation-Based Business Models for Future Growth: Digitalized Business Models and Portfolio Considerations. Review of Managerial Science. 2021;15:1–14. https://doi.org/10.1007/s11846-019-00366-z

9. Horvath D., Szabo R.Z. Driving Forces and Barriers of Industry 4.0: Do Multinational and Small and Medium-Sized Companies Have Equal Opportunities? Technological Forecasting and Social Change. 2019;146:119–132. https://doi.org/10.1016/j.techfore.2019.05.021

10. Omar F.I., Othman N.A., Salleh M.A.M., Abdullah N.H. Affective Need of ICT in Impro­ving Business Performance among Malay Women Entrepreneur. International Journal of Academic Research in Business and Social Sciences. 2018;8(6):975–987. https://doi.org/10.6007/IJARBSS/v8-i6/4295

11. Bleicher J., Stanley H. Digitization as a Catalyst for Business Model Innovation a Three-Step Approach to Facilitating Economic Success. Journal of Business Management. 2018;4(2):62–71. Available at: http://www.theaspd.com/resources/jbm%20vol.%204-2-1.pdf (accessed 10.11.2023).

12. Vial G. Understanding Digital Transformation: A Review and a Research Agenda. Journal of Strategic Information Systems. 2019;28(2):118–144. https://doi.org/10.1016/j.jsis.2019.01.003

13. Bouwman H., Nikou S., de Reuver M. Digitalization, Business Models, and SMEs: How do Business Model Innovation Practices Improve Performance of Digitalizing SMEs? Telecommunications Policy. 2019;43(9). https://doi.org/10.1016/j.telpol.2019.101828

14. Torok L. Industry 4.0 from a Few Aspects, in Particular in Respect of the Decision Making of the Management. Will the New Industrial Revolution Change the Traditional Management Functions? International Review of Applied Sciences and Engineering. 2020;11(2):140–146. https://doi.org/10.1556/1848.2020.20020

15. Sousa-Zommer T.T., Need A., Martinez V. Digital Transforming Capability and Performance: A Microfoundations Perspective. International Journal of Operations & Production Management. 2020;40(7/8):1095–1128. https://doi.org/10.1108/IJOPM-06-2019-0444

16. Ivasenko A.G., Paramonova Ya.S. [Unemployment and Employment Policy in Russia]. Vestnik sovremennykh issledovaniy. 2018;(6.2):134‒137. (In Russ.) EDN: XURLCH

17. Najafova M.N. The Problem of Unemployment in the Economic Crisis and its Level the Regions of the Central Federal District. Azimuth of Scientific Research: Economics and Administration. 2018;7(4):209‒211. (In Russ., abstract in Eng.) Available at: https://landraileiu.ru/wp-content/uploads/2023/04/ANI-EU-2018-4.pdf (accessed 10.11.2023).

18. Reprintseva E.V., Furman E.N. Management of the Country’s Human Resource Potential. Vestnik Kurskoi selskokhozyaistvennoy akademii. 2022;(5):166–172. (In Russ., abstract in Eng.) Available at: https://cyberleninka.ru/article/n/upravlenie-kadrovym-potentsialom-strany (accessed 10.11.2023).

19. Ivanova O.K. [Improvement of Human Resources Management Mechanisms]. Menedzher. 2017;(3):224‒230. (In Russ.)

20. Chekalin V.S. [Drivers of Growth in the Agricultural Sector of the Russian Economy]. Applied Economic Research. 2017;(S2):86‒91. (In Russ.) EDN: KWVUQP

21. Chazova I.Yu., Akmarov P.B., Knyazeva O.P. Economic and Social Objectives of Labor Potential Management in the Context of Digital Transformation. Bulletin of Udmurt University. Series Economics and Law. 2023;33(3):468–474. (In Russ., abstract in Eng.) Available at: https://journals.udsu.ru/econ-law/article/view/7932 (accessed 10.11.2023).

22. Baskakova M.E. The Potential Labor Force of Modern Russia: The Socio-Demographic Profile and Level of Education. Social and Labor Research. 2022;(3):105‒117. (In Russ., abstract in Eng.) https://doi.org/10.34022/2658-3712-2022-48-3-105-117

23. Shevyakin A.S. Approaches to the Formation of a Conceptual Scheme for the Reproduction of Labor Potential in the Conditions of the Regional Economy. Vestnik Kurskoy selskokhozyaistvennoy akademii. 2022;(9):223–229. (In Russ., abstract in Eng.) Available at: https://kursksau.ru/upload/iblock/ff5/eakka9anfk9g3sdb33lb6v2rfe57temy.pdf (accessed 10.11.2023).

24. Zabelina O.V., Mirzabalaeva F.I., Sankova L.V. Regional Transformation of the Labour Market Tension: New Vectors. Leadership and Management. 2022;9(1):137‒160. (In Russ., abstract in Eng.) https://doi.org/10.18334/lim.9.1.114287

25. Gimbatov Sh.M., Kutaev Sh.K., Khadzhalova Kh.M., Abdulaeva Z.Z., Abdulmanapov P.G. Social and Demographic Problems of Labor Potential Formation in the North Caucasus. Population. 2023;26(1):135‒146. (In Russ., abstract in Eng.) https://doi.org/10.19181/population.2023.26.1.11

26. Svinarev N.N., Simonova M.V. Regional Specifics of Labor Potential in the Specialized Labor Market. Human Progress. 2023;9(2):11. (In Russ., abstract in Eng.) Available at: http://progress-human.com/images/2023/Tom9_2/Svinarev.pdf (accessed 10.11.2023).

27. Chernykh E.A. Underutilization of Labour Force: Methodological Approaches to Measurement and Statistical Analysis. Living Standards of the Population in the Regions of Russia. 2019;15(2):52‒62. (In Russ., abstract in Eng.) https://doi.org/10.19181/1999-9836-2019-10064

28. Kotova N.N., Cherepanova A.E. Problem of Labor Market Employment. Vestnik Yuzhno-Uralskogo gosudarstvennogo universiteta. Seriya: Ekonomika i menedzhment. 2019;13(2):54‒62. (In Russ., abstract in Eng.) Available at: https://cyberleninka.ru/article/n/problema-zanyatosti-na-rynke-truda (accessed 10.11.2023).

29. Ryazantsev S.V., Nioradze G.V. The Labour Potential of Older Generation: Interregional Analysis. Living Standards of the Population in the Regions of Russia. 2022;18(1):107‒119. (In Russ., abstract in Eng.) https://doi.org/10.19181/lsprr.2022.18.1.9

30. Fauser V.V., Smirnov A.V., Fauser G.N. Demographic Trends and Transformation of Population Distribution in the North of Russia: Insights from the 2021 Census. The North and the Market: Forming the Economic Order. 2023;(1):64‒79. (In Russ., abstract in Eng.) https://doi.org/10.37614/2220-802X.1.2023.79.004

31. Vlasova O.V. The Effectiveness of Postgraduate Education Development against the Background of Reforms in the Education System. Baltic Humanitarian Journal. 2021;10(2):60–63. (In Russ., abstract in Eng.) https://doi.org/10.26140/bgz3-2021-1002-0014

About the authors:

Lyudmila N. Lipatova, Dr.Sci. (Sociol.), Cand.Sci. (Econ.), Professor, Chair of Economics, North-West Institute of Management, Russian Presidential Academy of National Economy and Public Administration (57/43 Sredny Ave., Vasilyevsky Island, St. Petersburg 199178, Russian Federation), ORCID: https://orcid.org/0000-0002-9357-6708, ln.lipatova@yandex.ru

Valentina N. Gradusova, Cand.Sci. (Econ.), Associate Professor, Chair of Management, North-West Institute of Management, North-West Institute of Management, Russian Presidential Academy of National Economy and Public Administration (57/43 Sredny Ave., Vasilyevsky Island, St. Petersburg 199178, Russian Federation), ORCID https://orcid.org/0000-0002-0829-4555, gradusova-vn@ranepa.ru

Contribution of the authors:

L. N. Lipatova – research initiation; collection and processing of statistical data; preparation of the initial version of the article.

V. N. Gradusova – literature review on the studied problems; 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 author on reasonable request.

The authors have read and approved the final manuscript.

Submitted 19.11.2023; revised 16.04.2024; accepted 29.04.2024.

Appendix

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