Open Access Journal Article

Shifting Demographics and Economic Performance: Unraveling the Influence of Population Aging on GDP Dynamics and Regional Inequalities

by Eleonora Santos a,* orcid
a
Centre of Applied Research in Management and Economics, Polytechnic Institute of Leiria, Leiria, Portugal
*
Author to whom correspondence should be addressed.
JEA  2024, 49; 3(1), 49; https://doi.org/10.58567/jea03010006
Received: 11 June 2023 / Accepted: 10 July 2023 / Published Online: 15 March 2024

Abstract

Understanding the economic trends and demographic dynamics of a country is crucial for policymakers and researchers to formulate effective strategies and policies. This study aims to examine the GDP trends and aging index dynamics in Portugal from 2011 to 2021, with a focus on regional disparities and their implications for demographic challenges. The findings highlight the relationship between regional GDP and the aging index, indicating that regions with higher GDP values tend to have a relatively younger population, while regions with lower GDP values have a relatively older population. The study contributes to the existing literature on population aging by providing insights into the demographic, economic, and social implications of an aging society. It provides valuable insights into the demographic, economic, and social implications of population aging in Portugal. The findings contribute to the existing literature and can inform policymakers and stakeholders in developing targeted strategies and policies to address the specific challenges faced by each region.


Copyright: © 2024 by Santos. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

Funding

National Funds of the FCT—Portuguese Foundation for Science and Technology within the project (UIDB/04928/2020) , Scientific Employment Stimulus-Institutional Call CEECINST (00051/2018)

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ACS Style
Santos, E. Shifting Demographics and Economic Performance: Unraveling the Influence of Population Aging on GDP Dynamics and Regional Inequalities. Journal of Economic Analysis, 2024, 3, 49. https://doi.org/10.58567/jea03010006
AMA Style
Santos E. Shifting Demographics and Economic Performance: Unraveling the Influence of Population Aging on GDP Dynamics and Regional Inequalities. Journal of Economic Analysis; 2024, 3(1):49. https://doi.org/10.58567/jea03010006
Chicago/Turabian Style
Santos, Eleonora 2024. "Shifting Demographics and Economic Performance: Unraveling the Influence of Population Aging on GDP Dynamics and Regional Inequalities" Journal of Economic Analysis 3, no.1:49. https://doi.org/10.58567/jea03010006
APA style
Santos, E. (2024). Shifting Demographics and Economic Performance: Unraveling the Influence of Population Aging on GDP Dynamics and Regional Inequalities. Journal of Economic Analysis, 3(1), 49. https://doi.org/10.58567/jea03010006

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References

  1. Anderson, G. F., & Hussey, P. S. (2000). Population Aging: A Comparison Among Industrialized Countries: Populations around the world are growing older, but the trends are not cause for despair. Health affairs, 19(3), 191-203. https://doi.org/10.1377/hlthaff.19.3.191
  2. Bloom, D. E., Canning, D., & Sevilla, J. (2004). The effect of health on economic growth: a production function approach. World development, 32(1), 1-13. https://doi.org/10.1016/j.worlddev.2003.07.002
  3. Brunow, S., & Hirte, G. (2006). Age structure and regional economic growth. Jahrbuch für Regionalwissenschaft, 26, 3-23. https://doi.org/10.1007/s10037-005-0075-4
  4. Choi, K. H., & Shin, S. (2015). Population aging, economic growth, and the social transmission of human capital: An analysis with an overlapping generations model. Economic modelling, 50, 138-147. https://doi.org/10.1016/j.econmod.2015.05.015
  5. Dostie, B. (2011). Wages, productivity and aging. De Economist, 159(2), 139-158. https://doi.org/10.1007/s10645-011-9166-5
  6. Ferreira, D. C., Caldas, P., & Marques, R. C. (2021). Ageing as a determinant of local government performance: myth or reality? the Portuguese experience. Local Government Studies, 47(3), 475-497. https://doi.org/10.1080/03003930.2021.1904397
  7. Fonseca, M. L. (2008). New waves of immigration to small towns and rural areas in Portugal. Population, space and place, 14(6), 525-535. https://doi.org/10.1002/psp.514
  8. Gerpott, F. H., Lehmann-Willenbrock, N., & Voelpel, S. C. (2017). A phase model of intergenerational learning in organizations. Academy of Management Learning & Education, 16(2), 193-216. https://doi.org/10.5465/amle.2015.0185
  9. Ilmarinen, J. (2001). Ageing workers in Finland and in the European Union: their situation and the promotion of their working ability, employability and employment. The Geneva Papers on Risk and Insurance. Issues and Practice, 26(4), 623-641. https://www.jstor.org/stable/41952603
  10. Johansson, T. (2008). Municipal contracting out: Governance choices, misalignment and performance in Swedish local government. Financial accountability & management, 24(3), 243-264. https://doi.org/10.1111/j.1468-0408.2008.00452.x
  11. Lai, S. L., & Yip, T. M. (2022). The role of older workers in population aging–economic growth nexus: evidence from developing countries. Economic Change and Restructuring, 55(3), 1875-1912. https://doi.org/10.1007/s10644-021-09370-4
  12. Lee, R., & Mason, A. (2010). Fertility, human capital, and economic growth over the demographic transition. European Journal of Population= Revue Europeenne de Demographie, 26(2), 159. https://doi.org/10.1007/s10680-009-9186-x
  13. Lindeboom, M., & Kerkhofs, M. (2009). Health and work of the elderly: subjective health measures, reporting errors and endogeneity in the relationship between health and work. Journal of Applied Econometrics, 24(6), 1024-1046.
  14. Liu, S., & Fidel, R. (2007, December). Managing aging workforce: Filling the gap between what we know and what is in the system. In Proceedings of the 1st international conference on Theory and practice of electronic governance (pp. 121-128). Available at https://dl.acm.org/doi/abs/10.1145/1328057.1328084
  15. Maestas, N., & Zissimopoulos, J. (2010). How longer work lives ease the crunch of population aging. Journal of Economic Perspectives, 24(1), 139-160. https://doi.org/10.1257/jep.24.1.139
  16. Mamun, S. A. K., Rahman, M. M., & Khanam, R. (2017, November). Ageing population and economic growth nexus in Bangladesh: evidence from an endogenous growth model. In 1st International Conference on Energy, Finance and the Macroeconomy Book of Abstracts (ICEFM-2017). Montpellier Business School. Available at https://research.usq.edu.au/item/q4955/ageing-population-and-economic-growth-nexus-in-bangladesh-evidence-from-an-endogenous-growth-model
  17. Mamun, S. A. K., Rahman, M. M., & Khanam, R. (2020). The relation between an ageing population and economic growth in Bangladesh: Evidence from an endogenous growth model. Economic Analysis and Policy, 66, 14-25. https://doi.org/10.1016/j.eap.2020.02.001
  18. Maresova, P., Javanmardi, E., Barakovic, S., Barakovic Husic, J., Tomsone, S., Krejcar, O., & Kuca, K. (2019). Consequences of chronic diseases and other limitations associated with old age–a scoping review. BMC public health, 19, 1-17. https://doi.org/10.1186/s12889-019-7762-5
  19. Milhana, U. L., Nufile, A. A. M., & Mustafa, A. M. M. (2020). Ageing Population and Economic Growth Nexus In Sri Lanka. Sri Lanka Journal of Population Studies, 21(2), 49-57.
  20. Oliveira, M. J. L. D. (2022). Demographic dividend: evidence from Portugal at a regional level (Doctoral dissertation). Available at https://repositorium.sdum.uminho.pt/handle/1822/79110
  21. Peri, G. (2016). Immigrants, productivity, and labor markets. Journal of economic perspectives, 30(4), 3-30. https://doi.org/10.1257/jep.30.4.3
  22. Pham, T. N., & Vo, D. H. (2021). Aging population and economic growth in developing countries: a quantile regression approach. Emerging Markets Finance and Trade, 57(1), 108-122. https://doi.org/10.1080/1540496X.2019.1698418
  23. Singh, S., Thomas, N., & Numbudiri, R. (2021). Knowledge sharing in times of a pandemic: An intergenerational learning approach. Knowledge and Process Management, 28(2), 153-164. https://doi.org/10.1002/kpm.1669
  24. Skans, O. N. (2008). How does the age structure affect regional productivity?. Applied Economics Letters, 15(10), 787-790. https://doi.org/10.1080/13504850600749123
  25. Storper, M., & Scott, A. J. (2009). Rethinking human capital, creativity and urban growth. Journal of economic geography, 9(2), 147-167. https://doi.org/10.1093/jeg/lbn052
  26. Watson, A. W., Taheri, B., Glasgow, S., & O’Gorman, K. D. (2018). Branded restaurants employees’ personal motivation, flow and commitment: The role of age, gender and length of service. International Journal of Contemporary Hospitality Management. https://doi.org/10.1108/IJCHM-02-2017-0075
  27. White, M. (2012). Older employees under pressure? Theorizing reasons for declining commitment. Work, employment and society, 26(3), 447-463. https://doi.org/10.1177/0950017012438578