Preview

Moscow University Economics Bulletin

Advanced search

Russia facing demographic challenges: threats and opportunities

https://doi.org/10.55959/MSU0130-0105-6-60-4-11

Abstract

The paper addresses the issue of demographic growth facing Russia, which, against the background of the ongoing global demographic transformation, is assuming an existential importance for the country. The purpose of the article is to examine the specifics of Russia’s place in the global demographic and geopolitical system, as well as the challenges and opportunities generated by the 21st century. To achieve this goal, the article uses a scenario approach that allows us to consider alternative demographic forecasts for Russia and show the country’s place in the case of both development options. The results show that the inertial scenario will move Russia from the current 9th place in the international demographic ranking to the 15th in the early 2050s, thereby losing its status of a giant country with corresponding international prestige. Implementing a proactive scenario based on demographic expansion of the population, Russia will be able to move from 9th place in the international demographic ranking to 7 h thereby significantly strengthen its geopolitical position. The demographic challenge for Russia is compounded by the fact that countries with large populations sooner or later become economic and technological leaders, quickly overcoming the technological lag from more developed countries. This acceleration is based on the technological paradox discovered by the authors, which consists in a contradiction between averaged macroeconomic indicators and stylized facts at microand meso levels. A typical manifestation of this paradox is the China–USA pair, which has achieved approximate technological parity against the background of a multiple lag of China in terms of per capita GDP. Applied calculations make it possible to rethink the importance of demographic advantages of giant countries in a new way, which has long been denied by the orthodox position on the primacy of technology over demography. The findings emphasize the expediency of implementing super efforts on the part of Russia to implement the demographic expansion scenario.

About the Authors

E. V. Balatsky
IMEMO
Russian Federation

Moscow



N. A. Ekimova
IMEMO
Russian Federation

Moscow



References

1. Balatsky, E., & Ekimova, N. (2025). Decline of Europe 2.0 in Context of Global Demographic Reshuffl ing. Terra Economicus, 23(3). [In print].

2. Balatsky, E., & Ekimova, N. (2023). Prospects for Russia’s demographic expansion: Economics, institutions, and culture. Terra Economicus, 21(2), 23–37. https://doi.org/10.18522/2073-6606-2023-21-2-23-37

3. Ekimova, N. (2025). Modeling Demographic Growth in Russia: Factors, Mechanisms, Reserves. Journal of Applied Economic Research, 24(2), 386–414. https://doi.org/10.15826/vestnik.2025.24.2.013

4. Gogolukhina, M. E., & Chirskaya, К. N. (2024). Economic Development of the Global South and Their Role in the World Economy. KANT, 2(51), 63–70. https://doi.org/10.24923/2222-243X.2024-51.12

5. Korotayev, A. V., Malkov, S. Y., & Musieva, J. (2022). Towards theOptimisation of Global Demographic Processes. Istoriya i sovremennost’, 4(46), 81–103. https://doi.org/10.30884/iis/2022.04.05

6. Rudakova, E. K. (2020). Demographic Processes in Europe: Dynamics and Reasons for Depopulation. The Authority, 28(1), 227–234. https://doi.org/10.31171/vlast.v28i4.7466

7. Sklyar, A. Ya. (2023). Mathematical Model of the Dynamics of the Earth’s Population Growth. Modern Economy Success, 1, 159–169.

8. Tolkachev, S. А. (2024). U. S. -China rivalry in the U. S. solar market. World Economy and World Finance, 3(4), 5–13. https://doi.org/10.24412/2949-6454-2024-0290

9. Yasinskiy, S. A. (2024). Modeling the Growth of the Earth’s Population to Predict the Labor Economy of the State. Russian Journal of Labor Economics, 11(7), 983–1000. https://doi.org/10.18334/et.11.7.121302

10. Zinkina, Y. V., & Korotaev, А. V. (2017). Sotsialno-demograficheskoe razvitie stran Tropicheskoy Afriki. Мoscow: URSS. 272 р.

11. Alam, S. A., & Pörtner, C. C. (2018). Income shocks, contraceptive use, and timing of fertility. Journal of Development Economics, 131, 96–103. https://doi.org/10.1016/j.jdeveco.2017.10.007.

12. Balatsky, E. (2021). Identifi cation of the Technology Frontier. Foresight and STI Governance, 15(3), 23–34. https://doi.org/10.17323/2500-2597.2021.3.23.34.

13. Balatsky, E. V., & Ekimova, N. A. (2023). Identifying regional foci of potential geopolitical activity on the basis of demographic scale eff ect. Economic and Social Changes: Facts, Trends, Forecast, 16(5), 138–154. https://doi.org/10.15838/esc.2023.5.89.8.

14. Bloom, D. E., & Kotschy, R. (2023). Population aging and economic growth: from demographic dividend to demographic drag? NBER Working Paper No. 31585, 51 p. https://doi.org/10.3386/w31585.

15. Bogdanov, K. V., Frumkin, B. E., & Kobrinskaya, I. Ya. (2024). A Race for the Global South or a Battle for the World Majority: Russia’s Prospects. Russia in Global Affairs, 22(4), 64–81. https://doi.org/10.31278/1810-6374-2024-22-4-64-81.

16. Caldwell, J. C., Caldwell, B. K., Caldwell, P., McDonald, P. F., & Schindlmayr, T. (2006). Demographic Transition Theory. Dordrecht: Springer. 412 p. https://doi.org/10.1007/978-1-4020-4498-4.

17. Congressional Budget Offi ce (2025). The De mographic Outlook: 2025 to 2055. https://www.cbo.gov/system/files/2025-01/60875-demographic-outlook.pdf.

18. Cruz, M., & Ahmed, S. A. (2018). On the impact of demographic change on economic growth and poverty. World Development, 105, 95–106. https://doi.org/10.1016/j.worlddev.2017.12.018.

19. Dzhioev, A., & Caberty, N. (2021). Analysis of the birth rate and mortality of the population of Russia in 2019–2021. Science Almanac of Black Sea Region Countries, 28(4), 44–51. https://doi.org/10.23947/2414-1143-2021-28-4-44-51.

20. Gallego, F., & Lafortune, J. (2023). Baby commodity booms? The impact of commodity shocks on fertility decisions and outcomes. Journal of Population Economics, 36, 295–320. https://doi.org/10.1007/s00148-021-00855-0.

21. Hofmann, M. (2023). The future of international migration: what we know about the drivers that shape long-term migration trends and require policy responses. https://www.icmpd.org/file/download/61799/file/2023-11-30_Perspective_Nov_EN_pages.pdf.

22. Korotayev, A., Malkov, A., & Khaltourina, D. (2006). Introduction to Social Macrodynamics: Compact Macromodels of the World System Growth. Moscow: KomKniga/ URSS, 128 p.

23. Kumar, S., Shaw, P. K., Abdel-Aty, A.-H., & Mahmoud, E. E. (2020). A numerical study on fractional diff erential equation with population growth model. Numerical Methods for Partial Differential Equations, 40(1), art. e22684. http://dx.doi.org/10.1002/num.22684.

24. Lutz, W., Butz, W. P., & KC, S. (eds). (2014). World Population and Human Capital in the Twenty-First Century. Oxford, England: Oxford University Press. 704 p. https://doi.org/10.1093/acprof:oso/9780198703167.001.0001.

25. Lutz, W., Goujon, A., KC, S., Stonawski, M., & Stilianakis N. (eds.). (2018). Demographic and Human Capital Scenarios for the 21st Century. Luxembourg: Publications Offi ce of the European Union. 595 p. Oxford, England: Oxford University Press. 704 p. https://doi.org/10.2760/41776.

26. Maitra, B., & Ganguli, D. (2025). Impact of fertility decline, gender, and social development on economic growth in India. Journal of Social and Economic Development, 27, 450–471. https://doi.org/10.1007/s40847-024-00345-5.

27. Nath, S. K. (2020). Demographic Transition and Economic Growth. Solid State Technology, 63(5), 3142–3148.

28. Office for National Statistics (2025). Populatio n estimates for the UK, England, Wales, Scotland and Northern Ireland: mid-2023. https://www.ons.gov.uk/peoplepopulationandcommunity/populationandmigration/populationestimates/bulletins/annualmidyearpopulationestimates/mid2023.

29. Popov, V. V. (2025). Why China Used to Lag Behind the West, but Is Now Overtaking It. Moscow: Fortis Press, 392 р.

30. PwC. (2017). The long view: how will the global economic order change by 2050? https://www.pwc.com/gx/en/world-2050/assets/pwc-the-world-in-2050-full-report-feb-2017.pdf.

31. Ţarcă, V., Ţarcă, E., & Luca, F.-A. (2022). The Impact of the Main Negative SocioEconomic Factors on Female Fertility. Healthcare, 10(4), 734. https://doi.org/10.3390/healthcare10040734.

32. Thomas, R. K. (2024). World Population Trends. In: Demography: An Introduction to Population Studies. Springer Texts in Social Sciences. London: Springer Cham, 235–249. https://doi.org/10.1007/978-3-031-56623-3_12.

33. UN DESA. (2024). World Population Prospects 2024: Summary of Results. https://desapublications.un.org/publications/world-population-prospects-2024-summary-results.

34. UNCTAD. (2025). World Investment Report 2024. https://unctad.org/publication/world-investment-report-2024.

35. Vollset, S. E., Goren, E., Yuan, Ch.-W., Cao, J., Smith, A., Hsiao, Th., Bisignano, C., Azhar, G., Castro, E., Chalek, J., Dolgert, A., Frank, T., Fukutaki, K., Hay, S., Lozano, R., Mokdad, A., Nandakumar, V., Pierce, M., Pletcher, M., Robalik, T., Steuben, K., Wunrow, H. Y., Zlavog, B., & Murray, Ch. (2020). Fertility, mortality, migration, and population scenarios for 195 countries and territories from 2017 to 2100: a forecasting analysis for the Global Burden of Disease Study. The Lancet, 396(10258), 1285–1306. http://dx.doi.org/10.1016/S0140-6736(20)30677-2.

36. Wanassi, O. K., & Torres, D. F. M. (2023). An integral boundary fractional model to the world population growth. Chaos, Solitons & Fractals, 168, art. 113151. https://doi.org/10.1016/j.chaos.2023.113151.

37. WBG. (2025). DataBank: World Development Indicators. https://databank.worldbank.org/source/world-development-indicators#.


Supplementary files

Review

For citations:


Balatsky E.V., Ekimova N.A. Russia facing demographic challenges: threats and opportunities. Moscow University Economics Bulletin. 2025;(4):206-230. (In Russ.) https://doi.org/10.55959/MSU0130-0105-6-60-4-11

Views: 5


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 0130-0105 (Print)