In the section | Articles |
Title of the article | Push Factors of Population Migration in Russian Regions in Terms of Age Structure |
Pages | 114-137 |
Author | Evgeniya Mikhailovna Moiseeva Candidate of Sciences (Economics), Senior Researcher Institute for Demographic Research FCTAS RAS 6 Fotievoy St., bld. 1, Moscow, 119333, Russian Federation This email address is being protected from spambots. You need JavaScript enabled to view it. ORCID: 0000-0001-7571-2369 |
Abstract | Migration is a major component of population dynamics including its composition. In entire macroregions of Russia, it has a greater impact on the demographic situation than the birth rate. In order to manage migration processes, it is necessary to understand the reasons that push certain population groups to change their place of residence. This article is devoted to the analysis of the so-called ?push factors? of migration using econometric methods. Namely, regression models are estimated on panel data for 85 constituent entities of the Russian Federation for the five-year period from 2019 to 2023. In particular, the hypothesis is tested that the same socio-economic and demographic characteristics of a region have different significance for population outflow depending on age, so the models are built separately for each of the five-year age groups from 0–4 to 80 years and older. The main conclusions are as follows. The relationship between the age structure and the intensity of migration is two-way. The population aged 30–40 years responds most rationally to the socio-economic situation in the region. Economic factors are most important for young people who are starting their professional careers and remain important for the middle-aged population. Low competition in the labor market is not attractive to young people, but it is a deterrent to the departure of older age groups. Cramped housing conditions push the population of all ages to migrate, but are most important for young people, who, however, are not yet able to make effective demand for real estate, so the high cost of housing does not act as a significant pushing factor for them. The state of the healthcare sector is of greater interest to the mature population. Opportunities to obtain an education largely determine migration at the ages of 15–19. Opportunities for cultural leisure reduce migration only among pensioners, while the development of transport infrastructure and especially the availability of good access to the Internet act as a deterrent for everyone. Among environmental indicators, families with children are the most sensitive to pollution levels, and harsh climate is a highly significant pushing factor at all ages but is most significant for pensioners |
Code | 314.7+332.13 |
JEL | J10, O15, R23 |
DOI | https://dx.doi.org/10.14530/se.2025.2.114-137 |
Keywords | population migration, factors of migration, population age structure, socio-economic situation, regions of Russia, regional development, regression analysis |
Download | SE.2025.2.114-137.Moiseeva.pdf |
For citation | Moiseeva E.M. Push Factors of Population Migration in Russian Regions in Terms of Age Structure. Prostranstvennaya Ekonomika = Spatial Economics, 2025, vol. 21, no. 2, pp. 114–137. https://dx.doi.org/10.14530/se.2025.2.114-137 (In Russian) |
References | 1. Antosik L.V., Ivashina N.V. Factors and Routes of Interregional Migration of University Graduates in Russia. Voprosy Obrazovaniya = Educational Studies, 2021, no. 2, pp. 107–125. 2. Capoani L. Review of the Gravity Model: Origins and Critical Analysis of Its Theoretical Development. SN Business and Economics, 2023, vol. 3. 95. 3. De Haas H. Theory of Migration: The Aspirations-Capabilities Framework. Comparative Migration Studies, 2021, vol. 9. 8. 4. Dmitriev R.V. Application of Gravity Models to Spatial Analysis of Settlement Systems. Narodonaselenie = Population, 2012, no. 2 (56), pp. 41–47. (In Russian). 5. Eisenstadt S.N. The Absorption of Immigrants: A Comparative Study Based Mainly on the Jewish Community in Palestine and the State of Israel. London: Routledge and Paul, 1954, 275 p. 6. Fedorov A.P., Kolbina O.N. Methods of Designing a Social Infrastructure Based on Territorial Modeling Based on Gravity Modeling. Informatsionnye Tekhnologii i Sistemy: Upravlenie, Ekonomika, Transport, Pravo [Information Technologies and Systems: Management, Economics, Transport, Law], 2020, no. 1 (37), pp. 217–221. (In Russian). 7. Giltman M.A., Obukhovich N.V., Larionova N.I. The Impact of Wages in the European Part of Russia on Migration in the Far North. Mir Rossii. Sotsiologiya. Etnologiya = Universe of Russia. Sociology. Ethnology, 2020, vol. 29, no. 3, pp. 28–50. 8. Khavinson M.Yu., Kulakov M.P. Concept of a Dynamic Gravity Model for Migration. Regionalnye Problemy = Regional Problems, 2016, vol. 19, no. 4, pp. 12–19. (In Russian). 9. Kuznetsova O.V. Regional Policy of Russia: 20 Years of Reforms and New Opportunities. Moscow, 2015, 392 p. (In Russian). 10. Lee E.S. A Theory of Migration. Demography, 1966, vol. 3, no. 1, pp. 47–57. 11. Malova A.S. Fundamentals of Econometrics in the GRETL Environment. Moscow, 2016, 112 p. (In Russian). 12. Manshin R.V., Moiseeva E.M. Influence of Infrastructure on Population Distribution and Socio-Economic Development of Russian Regions. Ekonomika Regiona = Economy of Region, 2022, vol. 18, no. 3, pp. 727–741. 13. Manshin R.V., Moiseeva E.M. The Impact of International Labor Migration on the Ba-lance in Regional Labor Markets. DEMIS. Demograficheskie Issledovaniya = DEMIS. Demographic Research, 2023, vol. 3, no. 4, pp. 209–230. 14. Manshin R.V., Moiseeva E.M. The Role of Migration in the Contemporary Demographic Development of Russia. Geo-Economy of the Future. Edited by E.G. Popkova, B.S. Sergi. Cham: Springer, 2022, pp. 607–618. 15. Mkrtchyan N., Vakulenko E. Interregional Migration in Russia at Different Stages of the Life Cycle. GeoJournal, 2019, vol. 84, pp. 1549–1565. 16. Oleynik E.B., Ivashina N.V., Shmidt Yu.D. Migration Processes Modelling: Methods and Tools (Overview). Kompyuternye Issledovaniya i Modelirovanie = Computer Research and Modeling, 2021, vol. 13, no. 6, pp. 1205–1232. 17. Regional Aspects of International Labor Migration in Modern Russia: Assessment of Factors and Effects. Edited by A.G. Shelomentsev. Ekaterinburg: Institute of Economics of the Ural Branch of the Russian Academy of Sciences, 2017, 180 p. (In Russian). 18. Rossi P. Why Families Move. California: Sage Publications, 1980, 243 p. 19. Rybakovsky L.L. History and Theory of Population Migration. Moscow: ISPR RAS, 2016, 218 с. (In Russian). 20. Schewel K. Understanding Immobility: Moving Beyond the Mobility Bias in Migration Studies. International Migration Review, 2019, vol. 54, no. 2, pp. 328–355. 21. Shabashev V.A., Shorokhov S.I., Verkhozina M.F., Chelombitko A.N. The Migration Attractiveness of Russian Regions: Economic, Social, and Demographic Factors. Regionalnaya Ekonomika: Teoriya i Praktika = Regional Economics: Theory and Practice, 2017, vol. 15, no. 2 (437), pp. 391–404. 22. Vakulenko E., Mkrtchyan N. Factors of Interregional Migration in Russia Disaggregated by Age. Applied Spatial Analysis and Policy, 2020, vol. 13, pp. 609–630. 23. Vakulenko E.S. Econometric Analysis of Factors of Internal Migration in Russia. Regionalnye Issledovaniya = Regional Research, 2015, no. 4 (50), pp. 83–95. (In Russian). 24. Yukish V.F. Tools for Predictive Calculations of Indicators of the Intensity of Migration Processes in Russia. Ekonomika i Biznes: Teoriya i Praktika = Economy and Business: Theory and Practice, 2020, no. 11-3 (69), pp. 220–229. 25. Zhilkin O.N., Balashova S.A., Abramova A.A. Gravitational Model: Analysis of Mutual Trade of the Eurasian Economic Union Countries. Vestnik Universiteta [Bulletin of the University], 2023, no. 11, pp. 179–187. 26. Zubarevich N.V. Opportunities and Limitations of Quantitative Assessment of Factors of the Russian Regions’ Economic Development. Zhurnal Novoy Ekonomicheskoy Assotsiatsii = Journal of the New Economic Association, 2020, no. 2 (46), pp. 158–167. |
Financing | This study was financially supported by the Russian Science Foundation (Agreement No. 24-28-01046, https://rscf.ru/project/24-28-01046/) |
Submitted | 22.03.2025 |
Approved after reviewing | 09.04.2025 |
Accepted for publication | 06.05.2025 |
Available online | 30.06.2025 |