NAVIGATING DEMOGRAPHIC CHALLENGES FOR SUSTAINABLE ECONOMIC GROWTH IN THE BALTIC STATES
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Abstract
The Baltic States face severe demographic challenges, including low fertility rates, high emigration, an aging population, and urbanization pressures. These factors have significant implications for sustainable economic growth. This research study aims to assess the impact of these demographic trends on economic growth in the three Baltic States, Estonia, Latvia, and Lithuania and propose solutions to foster economic stability. Using a panel regression framework, this research analyzes longitudinal data from 1990 to 2023, sourced from the World Bank and United Nations Population Division. The study examines key demographic variables, fertility rates, age dependency ratios, urban population growth rates, and net migration. On the other hand, sustainable economic development is measured using GDD per capita data. Descriptive statistics, multicollinearity assessments, and robust fixed-effects regression models were employed to in the data analysis process. The statistical tool that was used is the R Software (R-code provided in Appendix 2:. The findings of the research study reveal that the age dependency ratio significantly influences GDP per capita. This highlights the burden of a growing elderly population on economic productivity. In contrast, urban population growth, net migration, and crude birth rates were not statistically significant predictors. The findings show that the increasing dependency ratio is the key demographic challenge affecting the Baltic States. To address these challenges, the study recommends resolutions to extend working lifespans, such as raising the retirement age and offering phased retirement options. Additionally, immigration policies targeting younger, skilled workers could mitigate labor shortages.
How to Cite
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Age Dependency ratios, Baltic States, Demographic Challenges, Sustainable economic growth
2. V. Khachatrian, A. Nepytaliuk, M. Pasichnyi, O. Nasibova, and J. Tabenska, “Demographics’ Impact on Economic Growth in Central Europe and the Baltic States,” ECONOMICS, vol. 11, no. s1, pp. 37–54, Dec. 2023, doi: 10.2478/eoik-2023-0062.
3. World Population Prospects, “Latvia Population 2024 (Live).” Accessed: Jul. 11, 2024. [Online]. Available: https://worldpopulationreview.com/countries/latvia-population
4. R. J. Aitken, “Population decline: where demography, social science, and biology intersect,” Reproduction, vol. 168, no. 1, 2024, Accessed: Jul. 13, 2024. [Online]. Available: https://rep.bioscientifica.com/view/journals/rep/168/1/REP-24-0070.xml
5. A. Galstyan, M. Grabowska, and V. Bačiulienė, “Economic development and migration after EU accession: The case of Baltic states,” Pressburg Economic Review, vol. 1, no. 1, pp. 47–55, 2021.
6. Z. Varpina, “Countries of old men? Demographic challenges in Estonia, Latvia and Lithuania,” May 2018.
7. T. Lang, D. Burneika, R. Noorkõiv, B. Plüschke-Altof, G. Pociūtė-Sereikienė, and G. Sechi, “Socio-spatial polarisation and policy response: Perspectives for regional development in the Baltic States,” European Urban and Regional Studies, vol. 29, no. 1, pp. 21–44, Jan. 2022, doi: 10.1177/09697764211023553.
8. Q. Wang and L. Li, “The effects of population aging, life expectancy, unemployment rate, population density, per capita GDP, urbanization on per capita carbon emissions,” Sustainable Production and Consumption, vol. 28, pp. 760–774, 2021.
9. United Nations Glossary, “World Population Prospects - Population Division - United Nations.” Accessed: Dec. 02, 2024. [Online]. Available: https://population.un.org/wpp/GlossaryOfDemographicTerms/
10. Y. Li, “The relationship between fertility rate and economic growth in developing countries,” 2016, Accessed: Dec. 02, 2024. [Online]. Available: https://lup.lub.lu.se/student-papers/record/8727479/file/8768892.pdf
11. I. Ilori and K. Akeju, “Crude death and crude birth rates, and economic development in sub-Saharan Africa Countries,” International journal of health sciences, pp. 10243–10264, Jul. 2022, doi: 10.53730/ijhs.v6nS4.11050.
12. E. W. F. Peterson, “The Role of Population in Economic Growth,” SAGE Open, vol. 7, no. 4, p. 215824401773609, Oct. 2017, doi: 10.1177/2158244017736094.
13. S. Sarker, A. Khan, and M. Mannan, “Urban population and economic growth: South Asia perspective,” European Journal of Government and Economics, vol. 4, pp. 64–75, Jul. 2016, doi: 10.17979/ejge.2016.5.1.4316.
14. O. Oliinyk, Y. Bilan, H. Mishchuk, O. Akimov, and L. Vasa, “The impact of migration of highly skilled workers on the country’s competitiveness and economic growth,” Montenegrin Journal of Economics, 2021, Accessed: Dec. 02, 2024. [Online]. Available: https://publikace.k.utb.cz/handle/10563/1010443
15. W. Kirch, Ed., “Age-Dependency RatioAge-dependency ratio,” in Encyclopedia of Public Health, Dordrecht: Springer Netherlands, 2008, pp. 23–23. doi: 10.1007/978-1-4020-5614-7_77.
16. M. Arif, R. Rosni, Z. Islami, and T. Rahmadi, “THE ANALYSIS OF THE IMPACT OF WORKINGAGE POPULATION ON INDONESIAN LABOUR,” JURNAL GEOGRAFI, vol. 13, p. 97, Feb. 2021, doi: 10.24114/jg.v13i1.21145.
17. C. Hsiao, “Panel data analysis–advantages and challenges,” TEST, vol. 16, no. 1, pp. 1–22, May 2007, doi: 10.1007/s11749-007-0046-x.
18. B. Khursanaliev, “The impact of population growth on the country’s economic development,” Qo ‘qon universiteti xabarnomasi, vol. 1, pp. 8–11, 2023.
19. O. T. Adeosun and O. O. Popogbe, “Population growth and human resource utilization nexus in Nigeria,” Journal of Humanities and Applied Social Sciences, vol. 3, no. 4, pp. 281–298, 2021.
20. R. Ubarevičienė and M. van Ham, “Population decline in Lithuania: who lives in declining regions and who leaves?,” Regional Studies, Regional Science, vol. 4, no. 1, pp. 57–79, Jan. 2017, doi: 10.1080/21681376.2017.1313127.
21. B. Bhardwaj and D. Sharma, “Migration of skilled professionals across the border: Brain drain or brain gain?,” European Management Journal, vol. 41, no. 6, pp. 1021–1033, 2023.
22. H. Zhang, H. Zhang, and J. Zhang, “Demographic age structure and economic development: Evidence from Chinese provinces,” Journal of Comparative Economics, vol. 43, no. 1, pp. 170–185, 2015.