Fertility decline and economic growth challenges: Japan's struggle amid a demographic crisis

Authors

  • Hamira Hamira Department of Development Economics, Faculty of Economics, Universitas Sriwijaya, Indonesia
  • Dirta Pratama Atiyatna Department of Development Economics, Faculty of Economics, Universitas Sriwijaya, Indonesia
  • Feny Marissa Department of Development Economics, Faculty of Economics, Universitas Sriwijaya, Indonesia
  • Dwi Darma Puspita Sari Department of Development Economics, Faculty of Economics, Universitas Sriwijaya, Indonesia
  • Khairunnas Khairunnas Department of Public Administration, Faculty of Social and Political Sciences, Universitas Sriwijaya, Indonesia

DOI:

https://doi.org/10.22437/ppd.v13i1.38209

Keywords:

Economic growth, Fertility, Health expenditure, inflation, Interest rate, Population aging

Abstract

This study examines the impact of demographic factors, particularly declining fertility rates and an aging population, on Japan’s economic growth from 1960 to 2022. Additionally, it analyzes key macroeconomic variables, including healthcare expenditure, interest rates, and inflation, that influence the country’s economy. Using quantitative time-series data and the Vector Error Correction Model (VECM), this research evaluates the short- and long-term effects of these variables on economic growth. The findings indicate that, in the long run, population aging and high interest rates significantly negatively affect economic growth. In contrast, healthcare expenditure and moderate inflation have a positive impact. Population aging slows economic expansion by increasing pension and healthcare costs, while high interest rates discourage investment and consumption. Conversely, healthcare expenditure, as an investment in human capital, enhances labor productivity, and moderate inflation stimulates economic activity by promoting consumption and investment. However, in the short term, none of these variables exhibit a significant impact on economic growth, suggesting that policy measures and demographic changes require time to influence the broader economy.

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References

Ahiadorme, J. W. (2022). Monetary policy in search of macroeconomic stability and inclusive growth. Research in Economics, 76(4), 308–324. https://doi.org/10.1016/j.rie.2022.08.002

Álvarez-Gálvez, J., & Jaime-Castillo, A. M. (2018). The impact of social expenditure on health inequalities in Europe. Social Science & Medicine, 200, 9–18. https://doi.org/https://doi.org/10.1016/j.socscimed.2018.01.006

Ämiri, Ä., & Linden, M. (2016). Income and total expenditure on health in OECD countries: Evidence from panel data and Hsiao’s version of Granger non-causality tests. Economics and Business Letters, 5(1), 1–9. https://doi.org/10.17811/ebl.5.1.2016.1-9

Amiri, A., & Ventelou, B. (2012). Granger causality between total expenditure on health and GDP in OECD: Evidence from the Toda–Yamamoto approach. Economics Letters, 116(3), 541–544. https://doi.org/https://doi.org/10.1016/j.econlet.2012.04.040

Behera, D. K., & Dash, U. (2019). Impact of macro-fiscal determinants on health financing: empirical evidence from low-and middle-income countries. Global Health Research and Policy, 4(1), 21. https://doi.org/10.1186/s41256-019-0112-4

Beylik, U., Cirakli, U., Cetin, M., Ecevit, E., & Senol, O. (2022). The relationship between health expenditure indicators and economic growth in OECD countries: A Driscoll-Kraay approach. Frontiers in Public Health, 10. https://doi.org/10.3389/fpubh.2022.1050550

Bloom, D. E., Canning, D., Kotschy, R., Prettner, K., & Schünemann, J. (2024). Health and economic growth: Reconciling the micro and macro evidence. World Development, 178(February), 106575. https://doi.org/10.1016/j.worlddev.2024.106575

Bloom, D. E., Kuhn, M., & Prettner, K. (2024). Fertility in High-Income Countries : Trends, Patterns, Determinants, and Consequences. Annual Review of Economics, 16, 159–184. https://doi.org/https://doi.org/10.1146/annurev-economics-081523-013750

Braendle, T., & Colombier, C. (2016). What drives public health care expenditure growth? Evidence from Swiss cantons. Health Policy, 120(9), 1051-1060. https://doi.org/10.1016/j.healthpol.2016.07.009

Celik, E. U., Omay, T., & Tengilimoglu, D. (2023). Convergence of economic growth and health expenditures in OECD countries: Evidence from non-linear unit root tests. Frontiers in Public Health, 11(3). https://doi.org/10.3389/fpubh.2023.1125968

Cervellati, M., & Sunde, U. (2015). The effect of life expectancy on education and population dynamics. Empirical Economics, 48(4), 1445–1478. https://doi.org/10.1007/s00181-014-0830-x

Chaabouni, S., & Saidi, K. (2017). The dynamic links between carbon dioxide (CO2) emissions, health spending and GDP growth: A case study for 51 countries. Environmental Research, 158, 137–144. https://doi.org/https://doi.org/10.1016/j.envres.2017.05.041

Chakroun, M. (2024). Health and economic growth: new evidence from a panel threshold model. Cogent Economics and Finance, 12(1). https://doi.org/10.1080/23322039.2024.2331010

Enders, W. (2014). Applied econometric time series (4th ed.). Wiley.

Feng, J., Wang, Z., & Yu, Y. (2020). Does long-term care insurance reduce hospital utilization and medical expenditures? Evidence from China. Social Science & Medicine, 258(113081). https://doi.org/https://doi.org/10.1016/j.socscimed.2020.113081

Halıcı-Tülüce, N. S., Doğan, İ., & Dumrul, C. (2016). Is income relevant for health expenditure and economic growth nexus? International Journal of Health Economics and Management, 16, 23–49.

Hong, G. H., & Schneider, T. (2020). SHRINKONOMICS Lessons from Japan: Japan is the world’s laboratory for drawing policy lessons on aging, dwindling populations. Finance & Development, 57(1), 20–23.

International Monetary Fund. (2023a). Japan’s Demographic Challenges and Economic Implications. International Monetary Fund.

International Monetary Fund. (2023b). Japan’s Economic Outlook 2023: GDP Contraction and Contributing Factors. International Monetary Fund.

Karra, M., Canning, D., & Wilde, J. (2017). The Effect of Fertility Decline on Economic Growth in Africa: A Macrosimulation Model. Population and Development Review, 43(S1), 237–263. https://doi.org/https://doi.org/10.1111/padr.12009

Li, H., Zhou, J., & Hong, Y. (2024). Estimating and testing for smooth structural changes in moment condition models. Journal of Econometrics, 246(1), 105896. https://doi.org/https://doi.org/10.1016/j.jeconom.2024.105896

Linden, M., & Ray, D. (2017). Life expectancy effects of public and private health expenditures in OECD countries 1970–2012: Panel time series approach. Economic Analysis and Policy, 56, 101–113. https://doi.org/https://doi.org/10.1016/j.eap.2017.06.005

Lopreite, M., & Zhu, Z. (2020). The effects of ageing population on health expenditure and economic growth in China: A Bayesian-VAR approach. Social Science & Medicine, 265(113513). https://doi.org/https://doi.org/10.1016/j.socscimed.2020.113513

Lorenzoni, L., Marino, A., Morgan, D., & James, C. (2019). Health Spending Projections to 2030: New results based on a revised OECD methodology. OECD Health Working Paper No. 110 (Issue 110).

Miles, D. (2023). Macroeconomic impacts of changes in life expectancy and fertility. Journal of the Economics of Ageing, 24, 100425. https://doi.org/10.1016/j.jeoa.2022.100425

Murthy, V. N. R., & Okunade, A. A. (2016). Determinants of U.S. health expenditure: Evidence from autoregressive distributed lag (ARDL) approach to cointegration. Economic Modelling, 59, 67–73. https://doi.org/https://doi.org/10.1016/j.econmod.2016.07.001

Muto, I., Oda, T., & Sudo, N. (2016). Macroeconomic Impact of Population Aging in Japan: A Perspective from an Overlapping Generations Model. IMF Economic Review, 64(3), 408–442. https://doi.org/10.1057/imfer.2016.6

Sfakianakis, G., Grigorakis, N., Galyfianakis, G., & Katharaki, M. (2020). The impact of macro-fiscal factors and private health insurance financing on public health expenditure: evidence from the OECD countries for the period 2000–2017. EuroMed Journal of Business, 16(1), 1–24. https://doi.org/10.1108/EMJB-03-2020-0029

Sharma, R. (2018). Health and economic growth: Evidence from dynamic panel data of 143 years. PLoS ONE, 13(10), 1–20. https://doi.org/10.1371/journal.pone.0204940

Sugimoto, Y. (2014). An Introduction to Japanese Society (4th ed.). Cambridge University Press. https://doi.org/DOI: 10.1017/CBO9781107270107

United Nations. (2023). World Population Prospect. Department of Economic and Social Affairs, Population Division.

United Nations Population Division. (2023). World Population Prospects: Japan’s Elderly Dependency Ratio Projections. United Nations.

World Bank. (2023a). Life expectancy at birth, total (years) – Japan. World Bank Data.

World Bank. (2023b). Population ages 65 and above (% of total population) – Japan. World Bank Data.

Yang, X. (2020). Health expenditure, human capital, and economic growth: an empirical study of developing countries. International Journal of Health Economics and Management, 20(2), 163–176. https://doi.org/10.1007/s10754-019-09275-w

Younsi, M., Chakroun, M., & Nafla, A. (2016). Robust analysis of the determinants of healthcare expenditure growth: evidence from panel data for low-, middle- and high-income countries. The International Journal of Health Planning and Management, 31(4), 580–601. https://doi.org/10.1002/hpm.2358

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Published

2025-04-30

How to Cite

Hamira, H., Atiyatna, D. P., Marissa, F., Sari, D. D. P., & Khairunnas, K. (2025). Fertility decline and economic growth challenges: Japan’s struggle amid a demographic crisis. Jurnal Perspektif Pembiayaan Dan Pembangunan Daerah, 13(1), 22–36. https://doi.org/10.22437/ppd.v13i1.38209

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