Efek Pertumbuhan Ekonomi terhadap Angka Harapan Hidup
DOI:
https://doi.org/10.37058/wlfr.v7i1.307Keywords:
Life Expectancy, Economic Growth, Mortality, Basic Infrastructure, FMOLS and DOLSAbstract
This study aims to analyze the long-term relationship between economic growth, mortality, and basic infrastructure on life expectancy in developing countries using panel data. The research objects include five countries in the Asian region, namely Indonesia, Thailand, the Philippines, Sri Lanka, and Pakistan, using annual secondary data sourced from the World Development Indicators (WDI) with analysis years 2000–2023. The methods used are Fully Modified Ordinary Least Squares (FMOLS) and Dynamic Ordinary Least Squares (DOLS) to address endogeneity, serial correlation, and cross-country heterogeneity. The results show that economic growth has a positive effect on life expectancy, while mortality has a strong and consistent negative impact across all model specifications. In contrast, the effect of basic infrastructure as measured by access to drinking water and basic sanitation shows instability in both sign and significance, so its role is conditional and highly dependent on the structural context. Furthermore, the Dumitrescu-Hurlin panel causality test indicates a one-way causality from economic growth to life expectancy, as well as a two-way causal relationship between economic growth, mortality, and basic infrastructure. Overall, these findings confirm that mortality reduction is the most consistent determinant of increasing life expectancy, while economic growth plays a structural supporting role in the long run.
Penelitian ini bertujuan menganalisis hubungan jangka panjang antara pertumbuhan ekonomi, mortalitas, dan infrastruktur dasar terhadap angka harapan hidup di negara berkembang dengan menggunakan data panel. Objek penelitian meliputi lima negara di kawasan Asia, yaitu Indonesia, Thailand, Filipina, Sri Lanka, dan Pakistan, dengan menggunakan data sekunder tahunan yang bersumber dari World Development Indicators (WDI) dengan tahun analisis 2000–2023. Metode yang digunakan adalah Fully Modified Ordinary Least Squares (FMOLS) dan Dynamic Ordinary Least Squares (DOLS) untuk mengatasi endogenitas, korelasi serial, serta heterogenitas lintas negara. Hasil penelitian menunjukkan bahwa pertumbuhan ekonomi berpengaruh positif terhadap angka harapan hidup, sedangkan mortalitas memiliki dampak negatif yang kuat dan konsisten di seluruh spesifikasi model. Sebaliknya, pengaruh infrastruktur dasar yang diukur melalui akses air minum dan sanitasi dasar menunjukkan ketidakstabilan baik dari sisi tanda maupun signifikansi sehingga perannya bersifat kondisional dan sangat bergantung pada konteks struktural. Selanjutnya, uji kausalitas panel Dumitrescu-Hurlin menunjukkan adanya kausalitas satu arah dari pertumbuhan ekonomi menuju angka harapan hidup, serta hubungan kausal dua arah antara pertumbuhan ekonomi, mortalitas, dan infrastruktur dasar. Secara keseluruhan, temuan ini menegaskan bahwa penurunan mortalitas merupakan determinan paling konsisten dalam meningkatkan angka harapan hidup, sedangkan pertumbuhan ekonomi berperan sebagai faktor pendukung struktural dalam jangka panjang.
References
Acemoglu, D. and Johnson, S. (2007), “Disease and Development: The Effect of Life Expectancy on Economic Growth”, Journal of Political Economy, Vol. 115 No. 6, pp. 925–985, doi: 10.1086/529000.
Affoh, R., Z.H., D.K., & D.B.M. (2022), “The Impact of Climate Variability and Change on Food Security in Sub-Saharan Africa: Perspective from Panel Data Analysis.”, Sustainability (Switzerland), Vol. 14 No. 2, doi: https://doi.org/10.3390/su14020759.
Alhassan, G.N., Bekun, F.V., Rashidi, M., & and Karalinç, T. (2025), “Multidimensional Determinants of Life Expectancy in Developing Countries: Evidence From Preston Curve Hypothesis.”, Review of Development Economics, Vol. 29 No. 4, pp. 2736–2746, doi: https://doi.org/10.1111/rode.13253.
Barokatuminalloh, O.:, Pengajar, S., Universitas, F.E. and Soedirman, J. (2007), Pengeluaran Publik Untuk Kesehatan Dan Status Kesehatan Di Negara-Negara Asia, Vol. 2.
Brown, J., C.S., & E.J.H.J. (2013), “Water, sanitation, hygiene and enteric infections in children”, Archives of Disease in Childhood, Vol. 98 No. 8, pp. 629–634.
Chen, H., Chen, G., Zheng, X., and Guo, Y. (2019), “Contribution of specific diseases and injuries to changes in health adjusted life expectancy in 187 countries from 1990 to 2013: retrospective observational study. ”, BMJ.
Cumazada, S. (2021), “The Analysis of The Relationship Between The Level of Socio-Economic Development, Mortality And Life Expectancy.”, Customs Scientific Journal, Vol. 1, pp. 32–39, doi: https://doi.org/10.32836/2308-6971/2021.1.4.
Damodar N. Gujarati., D.C.P. (2009), Basic Econometrics, 5th ed., McGraw-Hill Irwin, 2009.
Emily Oster, I.S.E.R.D. (2013), “Limited Life Expectancy, Human Capital and Health Investments”, American Economic Review, Vol. 103 No. 5, pp. 1977–2002, doi: https://doi.org/10.1257/aer.103.5.1977.
Fatima, N., X.H., A.H., & A.M.R. (2024), “Synergy for climate actions in G7 countries: Unraveling the role of environmental policy stringency between technological innovation and CO2 emission interplay with DOLS, FMOLS and MMQR approaches. ”, Energy Reports, Vol. 12, pp. 1344–1359.
He, L., L.N. (2020), “The linkages between life expectancy and economic growth: some new evidence. ”, Empir Econ 58, Vol. 58, pp. 2381–2402.
Homer, J. (2025), “Beyond the Preston Curve: Analyzing Variations in Life Expectancy Around the World Using Multivariate Regression Circa 2000 and 2015”, Systems, Vol. 13 No. 7, p. 577, doi: 10.3390/systems13070577.
Jetter, M., L.S. and S.D. (2019), “The Intimate Link Between Income Levels and Life Expectancy: Global Evidence from 213 Years*”, Social Science Quarterly, Vol. 100, pp. 1387–1403, doi: https://doi.org/10.1111/ssqu.12638.
Karunarathne, M., Buddhika, P., Priyamantha, A., Mayogya, P., Jayathilaka, R., & and Dayapathirana, N. (2025), “Restoring life expectancy in low-income countries: the combined impact of COVID-19, health expenditure, GDP, and child mortality”, BMC Public Health, Vol. 25 No. 1, doi: https://doi.org/10.1186/s12889-025-22109-4.
Liang, J., Du, Y., Qu, X., Ke, C., Yi, G., Liu, M., Lyu, J.,, et al. (2022), “The Causes of Death and Their Influence in Life Expectancy of Children Aged 5–14 Years in Low- and Middle-Income Countries From 1990 to 2019”, Frontiers in Pediatrics, Vol. 10, doi: doi.org/10.3389/fped.2022.829201.
Miladinov, G. (2020), “Socioeconomic development and life expectancy relationship: evidence from the EU accession candidate countries”, Genus, Springer, Vol. 76 No. 1, doi: 10.1186/s41118-019-0071-0.
Osobase, A., Ohioze, W. and Olowoyo, O. (2021), “Population Growth, Life Expectancy and Economic Growth: A Panel Data Analysis”, Journal of Economics and Policy Analysis, Vol. 6 No. 1, pp. 75–100, doi: 10.52968/25742180.
Patterson, A.C. (2023), “Is Economic Growth Good for Population Health? A Critical Review”, Canadian Studies in Population, Vol. 50 No. 1, p. 1, doi: 10.1007/s42650-023-00072-y.
Phillips, P.C.B. and Hansen, B.E. (1990), “Statistical Inference in Instrumental Variables Regression with I(1) Processes”, The Review of Economic Studies, Vol. 57 No. 1, p. 99, doi: 10.2307/2297545.
Ricci, C., C.J., A.H., S.C.M., D.R., & L.M. (2019), “Nutritional status as a central determinant of child mortality in sub‐Saharan Africa: A quantitative conceptual framework”, Maternal & Child Nutrition, Vol. 15 No. 2.
Saloni Dattani, Lucas Rodés-Guirao, Hannah Ritchie, Esteban Ortiz-Ospina, and and Max Roser. (2023), “Life Expectancy”, available at: https://ourworldindata.org/life-expectancy (accessed 11 March 2026).
Stock, J.H. and Watson, M.W. (1993), “A Simple Estimator of Cointegrating Vectors in Higher Order Integrated Systems”, Econometrica, Vol. 61 No. 4, p. 783, doi: 10.2307/2951763.
Sultana, T., Dey, S.R. and Tareque, M. (2022), “Exploring the linkage between human capital and economic growth: A look at 141 developing and developed countries”, Economic Systems, Vol. 46 No. 3, p. 101017, doi: 10.1016/j.ecosys.2022.101017.
World Bank. (2026), “Life expectancy at birth, total (years) (SP.DYN.LE00.IN)”, available at: https://data.worldbank.org/indicator/SP.DYN.LE00.IN (accessed 11 March 2026).
World Development Indicators. (2025), “Health: Universal Health Coverage.”
World Health Organization. (2023), Burden of Disease Attributable to Unsafe Drinking-Water, Sanitation and Hygiene, 2019 Update.
World Health Organization. (2025), “Global Health Estimates: Life expectancy and healthy life expectancy.”, available at: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-life-expectancy-and-healthy-life-expectancy (accessed 11 March 2026).
Yang, G., Wang, Y., Zeng, Y., Gao, G.F., Liang, X., Zhou, M., Wan, X., et al. (2013), “Rapid health transition in China, 1990-2010: Findings from the Global Burden of disease study 2010”, The Lancet, Elsevier B.V., Vol. 381 No. 9882, pp. 1987–2015, doi: 10.1016/S0140-6736(13)61097-1.
