Preview

MIR (Modernization. Innovation. Research)

Advanced search

Economic factors of increasing fertility in the Volga Federal District: a retrospective analysis (2000–2020)

https://doi.org/10.18184/2079-4665.2022.13.2.288-303

Abstract

Purpose: to determine the economic factors that steadily influenced reproductive trends in the Volga Federal District in 2000-2020, their regional differentiation. The hypothesis of the study: the dynamics of the birth rate is predetermined, among other things, by economic factors (of a general economic nature and economic activity of households). With a positive change in the economic well-being of the population and households, stable prerequisites are formed for the growth of the birth rate in the Volga Federal District.

Methods: the correlation and regression analysis of the total fertility rate and economic predictors for 2000-2020 of the Volga Federal District regions was used. Econometric prerequisites for determining reproductive trends are formed based on changes in macro- and microeconomic indicators of the economic well-being of the region and individual households.

Results: regional differences in the influence of economic factors on fertility are revealed: direct linear dependence on the volume of investments per capita and the level of employment; inverse dependence on the level of poverty and the share of household spending on food (except for the Republic of Bashkortostan). When assessing the inverse linear dependence on the indexation of prices for primary housing, the coefficient of determination is insufficient (except for the Udmurt Republic), as in the case of assessing the impact of the unemployment rate (the factor is insignificant for the Republic of Bashkortostan, Kirov Region, Perm Krai). The growth and decrease in monthly consumer spending lead to a decrease in the birth rate.

Conclusions and Relevance: one-factor regression analysis showed that in the Volga Federal District, the formation of reproductive trends is negatively affected by an increase in the share of spending on essential goods. Multivariate regression analysis revealed a correlation of fertility rates with a steady increase in the level of employment. The presented approach can be used to describe the prerequisites for the formation of stable reproductive trends in other districts and regions of Russia for the implementation of preventive measures of the demographic policy of the state in order to maintain the stability and positive development of the demographic situation, prognostic estimates of trends of deviation from the positive trend.

About the Authors

Ch. I. Ildarhanova
Tatarstan Academy of Sciences, Family and Demography Center
Russian Federation

Chulpan I. Ildarhanova - Director, Doctor of Sociology Sciences.

36a, Levo-Bulachnaya st., Kazan, 420111


Competing Interests:

not



G. N. Ershova
Tatarstan Academy of Sciences, Family and Demography Center
Russian Federation

Guzel N. ErshovaS - enior Research Officer, Candidate of History Sciences.

36a, Levo-Bulachnaya st., Kazan, 420111


Competing Interests:

not



Yu. N. Ershova
Tatarstan Academy of Sciences, Family and Demography Center
Russian Federation

Yulia N. Ershova - Research Officer, Candidate of Sociology Sciences.

36a, Levo-Bulachnaya st., Kazan, 420111


Competing Interests:

not



A. A. Ibragimova
Tatarstan Academy of Sciences, Family and Demography Center
Russian Federation

Alisa A. IbragimovaL - eading Research Officer, Candidate of Sociology Sciences.

36a, Levo-Bulachnaya st., Kazan, 420111


Competing Interests:

not



References

1. Demographic situation in Russia: new challenges and ways of optimization. National demographic report / Edited by Corr.-Member of the RAS S.V. Ryazantsev. Moscow: Ekon-Inform, 2019. 79 p. EDN: TRHGUC (In Russ.)

2. Demographic development of Russia: trends, forecasts, measures. National demographic report-2020. Ryazantsev S.V. (ed.). Moscow: United Edition, 2020. 156 p. EDN: STFBWI. https://doi.org/10.25629/HC.2020.13.01 (In Russ.)

3. Becker G., Lewis H.G. On the Interaction between the Quality and the Quantity of Children. Journal of Political Economy. 1973; 81(2):279–288. https://doi.org/10.1086/260166 (In Eng.)

4. Booth A., Crouter A.C. The New Population Problem: Why Families in Developed Countries Are Shrinking and What It Means. Mahwah, NJ, London, 2005. https://doi.org/10.4324/9781410612854 (In Eng.)

5. Casper L.M., Bianchi S.M. Continuity and changes in the American family. California, Thousand Oaks, Sage, 2002. URL: https://www.semanticscholar.org/paper/Continuity-%26-change-in-the-American-family-CasperBianchi/dfc39b2cad2a497d092e267f2a7ed84aeb260d95 (In Eng.)

6. Teachman J.D., Polonko K.A., Scanzoni J. Demography and families. Handbook of marriage and the family. NY, 1999. P. 39–76. https://doi.org/10.1007/978-1-4615-7151-3_1 (In Eng.)

7. Makarentseva A.О. The Dynamics of Motherhood Entry in Modern Russia. Mir Rossii = The World of Russia. 2022; 31(1):162–182. EDN: PVENWU. https://doi.org/10.17323/1811-038X-2022-31-1-162-182 (In Russ.)

8. Rybakovsky O.L., Tayunova O.A. Birth rate of the population in early 21st century Russia. Sotsiologicheskie issledovaniya = Sociological research . 2014; (9(365)):19–24. EDN: SOAJUD (In Russ.)

9. Arkhangelskiy V.N. Factors of fertility. Moscow: TEIS, 2006. 399 p. (In Russ.)

10. Meron M., Widmer I. Unemployment Leads Women to Postpone the Birth of Their First Child. Population . 2002; 57(2):301–330. https://doi.org/10.2307/3246611 (In Eng.)

11. Orsal D.D.K., Goldstein J.R. The Increasing Importance of Economic Conditions for Fertility. MPIDR Working Paper WP 2010–2014. Rostock: Max Planck Institute for Demographic Research, 2010. https://doi.org/10.4054/MPIDR-WP-2010-014 (In Eng.)

12. Toulemon L., Testa M. Fertility intentions and actual fertility: A complex relationship. Population & Societies. 2005; (415):1–4. URL: https://www.semanticscholar.org/paper/Fertility-intentions-and-actual-fertility%3A-AToulemon-Testa/62a8d2021a2e50905aab3ff028c479e6664dfca5 (In Eng.)

13. Zhuravleva T.L., Gavrilova Ya.A. Analysis of fertility Determinants in Russia: What do the RMLS data say? Ekonomicheskiy zhurnal HSE = HSE Economic Journal . 2017; 21(1):145–187. EDN: YMIQTF (In Russ.)

14. Ivershin A.V., Kogevina S.I. Analysis of fertility factors in Russia. Interexpo Geo-Sibir . 2021; 2(4):252–256. EDN: RCCJTM. https://doi.org/10.33764/2618-981X-2021-2-4-252-256 (In Russ.)

15. Kashepov A.V. Forecasting Fertility based on economic factors. Uroven zhizni naseleniya regionov Rossii = The standard of living of the population of the regions of Russia . 2019; (1(211)):48–58. EDN: MXJODQ. https://doi.org/10.24411/1999-9836-2019-10053 (In Russ.)

16. Rostovskaya T.K., Arkhangelskiy V.N., Kuchmaeva O.V., Sudin S.A. The factors of birth of second child in contemporary Russia: the analysis of sociological survey results. Problems of social hygiene, health care a n d t h e his t o r y o f m e dicin e . 2021; 29(3):430–436. EDN: HMLUNJ. http://dx.doi.org/10.32687/0869866X-2020-29-3-430-436 (In Russ.)

17. Kozlov V.A. Changing Fertility Patterns in Two North Caucasian Republics: Is it only Social Policy that Matters? Journal of social policy . 2019; 17(1):89–102. EDN: ZKEZBH. https://doi.org/10.17323/727-0634-2019-17-189-102 (In Eng.)

18. Lakman I.A., Aznabaev A.M., Molokanov I.V., Komleva R.N. Statistical simulation of the socio-economic factors that influence on the total fertility rate in Republic Bashkortostan. Vestnik Bashkirskogo universiteta = Bulletin of Bashkir University . 2014; 19(4):1525–1530. EDN: TJLSGL (In Russ.)

19. Кylosova M.E. Regional peculiarities of the influence of socio-economic factors on fertility rates on the example of the Perm Region. Sborniki konferenciy NIC Sociosfera . 2012; (25):61–66. EDN: PCKQPV (In Russ.)

20. Karaulova L.V., Korotkova O.L. Statistical analysis of fertility factors (on the example of the Kirov region). Vestnik ekspertnogo soveta = Bulletin of the Expert Council . 2019; (4(19)):43–4. EDN: LXMPBQ (In Russ.)

21. Ahunov R.R., Yangirov A.V. Spatial-territorial factors of economic growth in the Russian Federation. R-Economy . 2021. 7(1):42–51 EDN: EZLEOU. DOI: https://doi.org/10.15826/recon.2021.7.1.004 (In Eng.)

22. Loksov V.V., Ryumina Е.V., Ulyanov V.V. Regional differentiation of human potential indicators. R-Economy. 2016. 2(1):28–37. EDN: YMVCYV. https://doi.org/10.15826/recon.2016.2.1.003 (In Eng.)

23. Trynov A.V., Kostina S.N., Bannykh G.A. Examination of Socio-economic Determinants of Fertility based on the Regional Panel Data Analysis. Ekonomika regiona = Economy of region. 2020. 16(3):807–819. EDN: PEICXP. https://doi.org/10.17059/ekon.reg.2020–3-10 (In Russ.)


Review

For citations:


Ildarhanova Ch.I., Ershova G.N., Ershova Yu.N., Ibragimova A.A. Economic factors of increasing fertility in the Volga Federal District: a retrospective analysis (2000–2020). MIR (Modernization. Innovation. Research). 2022;13(2):288-303. (In Russ.) https://doi.org/10.18184/2079-4665.2022.13.2.288-303

Views: 464


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


ISSN 2079-4665 (Print)
ISSN 2411-796X (Online)