Population dependency ratios and economic growth in SAARC nations: Insights on aging and youth dynamics

Mazhar Abbas, Majed Alharthi, Zabair Arshad

Article ID: 4875
Vol 8, Issue 8, 2024

VIEWS - 150 (Abstract) 62 (PDF)

Abstract


This study aims to evaluate the influence of population dependency ratio on the economic growth of Bangladesh, India, and Pakistan, the three members of the South Asian Association for Regional Cooperation (SAARC). The study covers the time from 1960 to 2021. It also analyses in detail how population aging and the youth dependency ratio affects the development of certain sectors, including industry, services and agriculture. This study uses panel data to determine the influence of population dependency ratios on economic growth. To estimate this effect, we use the Pooled Mean Group/Autoregressive Distributed Lag (PMG/ARDL) technique. Based on the results obtained from the ARDL analysis indicate the presence of a long-term relationship among these variables. These discoveries align with prior empirical research conducted by Lee and Shin, Mamun et al., and Rostiana and Rodesbi. Furthermore, the findings suggest that an increase in the old age population dependency ratio positively influences economic growth within these nations. The long-term relationship findings pertaining to the old and young dependency ratio and economic growth corroborate the conclusions of Bawazir et al., who proposed that the old population dependency ratio exerts a favorable impact, while the young population has an adverse effect on economic growth. Originality: This research focused on the population dependency ratio, a pivotal demographic metric that gauges the proportion of individuals relying on support (including children and the elderly) compared to those of working age. This investigation particularly explores the interconnection between the population dependency ratio and sectoral development, an essential aspect given that various sectors make distinct contributions to economic advancement. Examining how population dynamics affect sectoral development yields valuable insights into the overall economic performance of Pakistan, India, and Bangladesh.


Keywords


economic growth; population decomposition; old age policy; sectoral change SAARC

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References


Abeywardhana, D. K. Y. (2019). The Impact of Ageing Population on Economic Growth in South Asia. Asian Social Science, 15(7), 70. https://doi.org/10.5539/ass.v15n7p70

Bawazir, A. A. A., Aslam, M., & Osman, A. F. B. (2019). Demographic change and economic growth: empirical evidence from the Middle East. Economic Change and Restructuring, 53(3), 429–450. https://doi.org/10.1007/s10644-019-09254-8

Bibi, S., Arshad, Z., Zaman, S. S., et al. (2023). Energy Consumption, Economic Growth, and Human Development Index Evidence from SAARC Economies. Pakistan Journal of Humanities and Social Sciences, 11(3). https://doi.org/10.52131/pjhss.2023.1103.0644

Bloom, D. E., Canning, D., & Fink, G. (2010). Implications of population ageing for economic growth. Oxford Review of Economic Policy, 26(4), 583–612. https://doi.org/10.1093/oxrep/grq038

Calvo-Sotomayor, I., Laka, J. P., & Aguado, R. (2019). Workforce Ageing and Labour Productivity in Europe. Sustainability, 11(20), 5851. https://doi.org/10.3390/su11205851

Chishti, M. Z. (2020). Analysis of the Nexus between Demographic Changes and Economic Growth in Pakistan: Role of Capital Stock. Iranian Economic Review, Online First. https://doi.org/10.22059/ier.2020.76529

de Albuquerque, P. C. A. M., Caiado, J., & Pereira, A. (2020). Population aging and inflation: evidence from panel cointegration. Journal of Applied Economics, 23(1), 469–484. https://doi.org/10.1080/15140326.2020.1795518

En Ma, S., & Cheong Tang, T. (2023). Too Old or Too Young—WDoes Population Ageing Matter for Inflation? International Journal of Economics and Management, 17(1), 93–112. https://doi.org/10.47836/ijeam.17.1.07

Goh, S. K., McNown, R., & Wong, K. N. (2020). Macroeconomic implications of population aging: Evidence from Japan. Journal of Asian Economics, 68, 101198. https://doi.org/10.1016/j.asieco.2020.101198

Ilori, I. A., & Akeju, K. F. (2022). Crude death and crude birth rates, and economic development in sub-Saharan Africa countries. International Journal of Health Sciences, 6(4), 10243–10264. https://doi.org/10.53730/ijhs.v6ns4.11050

Islam, M. M., Alharthi, M., & Murad, M. W. (2021). The effects of carbon emissions, rainfall, temperature, inflation, population, and unemployment on economic growth in Saudi Arabia: An ARDL investigation. PLOS ONE, 16(4), e0248743. https://doi.org/10.1371/journal.pone.0248743

Jayawardhana, T., Anuththara, S., Nimnadi, T., et al. (2023). Asian ageing: The relationship between the elderly population and economic growth in the Asian context. PLOS ONE, 18(4), e0284895. https://doi.org/10.1371/journal.pone.0284895

Khan, M. Z., & Tariq, B. (2021). Change’s Effect on Economic Growth: A Review of Pakistan: An Empirical Investigation of Population Change’s Effect on Economic Growth: A Review of Pakistan. Ilkogretim Online, 20(1), 5728–5749. https://doi.org/10.17051/ilkonline.2021.01.603

Lee, H. H., & Shin, K. (2019). Nonlinear effects of population aging on economic growth. Japan and the World Economy, 51, 100963. https://doi.org/10.1016/j.japwor.2019.100963

Lukyanets, A., Okhrimenko, I., & Egorova, M. (2021). Population Aging and Its Impact on the Country’s Economy. Social Science Quarterly, 102(2), 722–736. Portico. https://doi.org/10.1111/ssqu.12936

Maity, S., & Sinha, A. (2020). Linkages between Economic Growth and Population Ageing with a Knowledge Spillover Effect. Journal of the Knowledge Economy, 12(4), 1905–1924. https://doi.org/10.1007/s13132-020-00696-4

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

Miri, N., Maddah, M., & Raghfar, H. (2019). Aging and Economic Growth. Salmand, 626–637. https://doi.org/10.32598/sija.13.special-issue.626

Mohd, S. N. A., Ishak, A. A., & Selvaratnam, D. P. (2021). Ageing Population’s Impact on Economic Growth in Malaysia from 1981 to 2019: Evidence from an Autoregressive Distributed Lag Approach. Frontiers in Public Health, 9. https://doi.org/10.3389/fpubh.2021.731554

Pesaran, M. H., Shin, Y., & Smith, R. P. (1999). Pooled Mean Group Estimation of Dynamic Heterogeneous Panels. Journal of the American Statistical Association, 94(446), 621–634. https://doi.org/10.1080/01621459.1999.10474156

Puspitowati, K. S., & Iskandar, D. D. (2020). Determinants of Structural Transformation in ASEAN. Media Ekonomi Dan Manajemen, 35(2), 137. https://doi.org/10.24856/mem.v35i2.1396

Rostiana, E., & Rodesbi, A. (2020). Demographic Transition and Economic Growth in Indonesia. Jurnal Economia, 16(1), 1–17. https://doi.org/10.21831/economia.v16i1.29846

Wang, J., Hassan, M. S., Alharthi, M., et al. (2022). Inspecting non-linear behavior of aggregated and disaggregated renewable and non-renewable energy consumption on GDP per capita in Pakistan. Energy Strategy Reviews, 39, 100772. https://doi.org/10.1016/j.esr.2021.100772

Zhang, M., You, S., Zhang, L., et al. (2023). Dynamic Analysis of the Effects of Aging on China’s Sustainable Economic Growth. Sustainability, 15(6), 5076. https://doi.org/10.3390/su15065076




DOI: https://doi.org/10.24294/jipd.v8i8.4875

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