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Population aging and intensified economic downside risk: Evidence from China

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  • Ren, Xianling
  • Qiao, Jinbao
  • Ji, Jianyue

Abstract

This study investigates the impact of population aging on economic downside risk in China, providing new evidence on the consequences of aging in the literature. While previous research has shown the negative impact of population aging on economic growth, the relationship between aging and downside risk remains unclear. Using data from Chinese provinces (2000–2022), we employ Growth at Risk framework to measure provincial economic downside risk and explore the impact of population aging on it. We find that population aging significantly intensifies economic downside risk, particularly in regions with lower population scale or higher economic development. The intensified economic downside risk is driven by reduced technological innovation, higher fiscal deficits, and slower consumption growth. Additionally, population inflows are found to alleviate the economic risk. These results highlight the necessity of mitigating economic downside risks via coordinated measures addressing innovation, consumption, and fiscal deficits in aging societies.

Suggested Citation

  • Ren, Xianling & Qiao, Jinbao & Ji, Jianyue, 2025. "Population aging and intensified economic downside risk: Evidence from China," Economic Modelling, Elsevier, vol. 152(C).
    • Handle: RePEc:eee:ecmode:v:152:y:2025:i:c:s0264999325002998
    DOI: 10.1016/j.econmod.2025.107304
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    References listed on IDEAS

    as
    1. Cao, Huoqing & Chen, Shiyi & Xi, Xican, 2023. "Aging, migration, and structural transformation in China," Economic Modelling, Elsevier, vol. 126(C).
    2. Xiujian Peng, 2008. "Demographic Shift, Population Ageing And Economic Growth In China: A Computable General Equilibrium Analysis," Pacific Economic Review, Wiley Blackwell, vol. 13(5), pages 680-697, December.
    3. Yang, Xintong & Li, Jiao & Yi, Chengdong, 2025. "How demographic changes reshape the housing sector: Evidence from China’s labor allocation and price dynamics," Economic Modelling, Elsevier, vol. 151(C).
    4. Franta, Michal & Gambacorta, Leonardo, 2020. "On the effects of macroprudential policies on Growth-at-Risk," Economics Letters, Elsevier, vol. 196(C).
    5. Michael T. Kiley, 2024. "Growth at risk from climate change," Economic Inquiry, Western Economic Association International, vol. 62(3), pages 1134-1151, July.
    6. Tobias Adrian & Federico Grinberg & Nellie Liang & Sheheryar Malik & Jie Yu, 2022. "The Term Structure of Growth-at-Risk," American Economic Journal: Macroeconomics, American Economic Association, vol. 14(3), pages 283-323, July.
    7. Chen, Yanran & Lyu, Youji, 2025. "Grandchild care and grandparents’ labor supply," Economic Modelling, Elsevier, vol. 143(C).
    8. Melissa Dell & Benjamin F. Jones & Benjamin A. Olken, 2014. "What Do We Learn from the Weather? The New Climate-Economy Literature," Journal of Economic Literature, American Economic Association, vol. 52(3), pages 740-798, September.
    9. Xu, Qifa & Xu, Mengnan & Jiang, Cuixia & Fu, Weizhong, 2023. "Mixed-frequency Growth-at-Risk with the MIDAS-QR method: Evidence from China," Economic Systems, Elsevier, vol. 47(4).
    10. Zhao Chen & Zhikuo Liu & Juan Carlos Suárez Serrato & Daniel Yi Xu, 2021. "Notching R&D Investment with Corporate Income Tax Cuts in China," American Economic Review, American Economic Association, vol. 111(7), pages 2065-2100, July.
    11. Leonid V Azarnert, 2023. "Population sorting and human capital accumulation," Oxford Economic Papers, Oxford University Press, vol. 75(3), pages 780-801.
    12. Louise Sheiner, 2014. "The Determinants of the Macroeconomic Implications of Aging," American Economic Review, American Economic Association, vol. 104(5), pages 218-223, May.
    13. Michael König & Kjetil Storesletten & Zheng Song & Fabrizio Zilibotti, 2022. "From Imitation to Innovation: Where Is All That Chinese R&D Going?," Econometrica, Econometric Society, vol. 90(4), pages 1615-1654, July.
    14. Pi Alperin, María Noel & Perquin, Magali & Giordana, Gastón A., 2024. "Population ageing and public finance burden of dementia: Micro-simulations evaluating risk factors, treatments and comorbidities in Luxembourg," The Journal of the Economics of Ageing, Elsevier, vol. 28(C).
    15. Kotschy, Rainer & Bloom, David, 2023. "Population Aging and Economic Growth: From Demographic Dividend to Demographic Drag?," CEPR Discussion Papers 18400, C.E.P.R. Discussion Papers.
    16. Zheng Guo & Linchen Liu & Xuan Liu, 2016. "Population Aging, Marginal Propensity to Consume, and Economic Growth," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 6(9), pages 534-546, September.
    17. Yunus Aksoy & Henrique S. Basso & Ron P. Smith & Tobias Grasl, 2019. "Demographic Structure and Macroeconomic Trends," American Economic Journal: Macroeconomics, American Economic Association, vol. 11(1), pages 193-222, January.
    18. Carlos Cinelli & Chad Hazlett, 2020. "Making sense of sensitivity: extending omitted variable bias," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 82(1), pages 39-67, February.
    19. Zheng Guo & Linchen Liu & Xuan Liu, 2016. "Population Aging, Marginal Propensity to Consume, and Economic Growth," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 6(9), pages 534-546.
    20. Kaixing Huang, 2024. "Fertility and long‐term economic growth," Economic Inquiry, Western Economic Association International, vol. 62(3), pages 1152-1171, July.
    21. Melissa Dell & Benjamin F. Jones & Benjamin A. Olken, 2012. "Temperature Shocks and Economic Growth: Evidence from the Last Half Century," American Economic Journal: Macroeconomics, American Economic Association, vol. 4(3), pages 66-95, July.
    22. Kim, Euijune & Hewings, Geoffrey J.D. & Lee, Changkeun, 2016. "Impact of educational investments on economic losses from population ageing using an interregional CGE-population model," Economic Modelling, Elsevier, vol. 54(C), pages 126-138.
    23. An, Chong-Bum & Jeon, Seung-Hoon, 2006. "Demographic change and economic growth: An inverted-U shape relationship," Economics Letters, Elsevier, vol. 92(3), pages 447-454, September.
    24. Rafael Gomez & Danielle Lamb, 2013. "Demographic Origins of the Great Recession: Implications for China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 21(2), pages 97-118, March.
    25. Lv, Mengdi & Jiao, Shoukun & Ye, Shiqi & Song, Hongmei & Xu, Jiexin & Ye, Wuyi, 2024. "Assessing time-varying risk in China’s GDP growth," Economics Letters, Elsevier, vol. 242(C).
    26. Francesco Lancia & Giovanni Prarolo, 2012. "A politico-economic model of aging, technology adoption and growth," Journal of Population Economics, Springer;European Society for Population Economics, vol. 25(3), pages 989-1018, July.
    27. Ingvild Almås & Eleonora Freddi & Øystein Thøgersen, 2020. "Saving and Bequest in China: An Analysis of Intergenerational Exchange," Economica, London School of Economics and Political Science, vol. 87(345), pages 249-281, January.
    28. Lee, Hyun-Hoon & Shin, Kwanho, 2019. "Nonlinear effects of population aging on economic growth," Japan and the World Economy, Elsevier, vol. 51(C), pages 1-1.
    29. Jungsuk Kim & Mengxi Wang & Donghyun Park & Cynthia Castillejos Petalcorin, 2021. "Fiscal policy and economic growth: some evidence from China," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 157(3), pages 555-582, August.
    30. Morita, Hiroshi, 2022. "On the relationship between fiscal multipliers and population aging in Japan: Theory and empirics," Economic Modelling, Elsevier, vol. 108(C).
    31. Meng Li & Kunrong Shen, 2013. "Population Aging and Housing Consumption: A Nonlinear Relationship in China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 21(5), pages 60-77, September.
    32. David E. BLOOM & Jocelyn E. FINLAY, 2009. "Demographic Change and Economic Growth in Asia," Asian Economic Policy Review, Japan Center for Economic Research, vol. 4(1), pages 45-64, June.
    33. Nguyen Thanh Trong & Nguyen Thi Dong & Pham Thi Ly, 2024. "Population aging and economic growth: evidence from ASEAN countries," Cogent Business & Management, Taylor & Francis Journals, vol. 11(1), pages 2298055-229, December.
    34. James Heintz & Nancy Folbre, 2022. "Endogenous Growth, Population Dynamics, and Economic Structure: Long-Run Macroeconomics When Demography Matters," Feminist Economics, Taylor & Francis Journals, vol. 28(3), pages 145-163, July.
    35. Qiuxing Chen & Qiaozhu Chi & Yang Chen & Oleksii Lyulyov & Tetyana Pimonenko, 2022. "Does Population Aging Impact China’s Economic Growth?," IJERPH, MDPI, vol. 19(19), pages 1-15, September.
    36. Hong, Liming & Zhang, Changhong & Anwar, Sajid & Wang, Lijie, 2025. "Joint spousal ownership and corporate green innovation: Empirical evidence from family businesses listed on China's A-shares market," Economic Modelling, Elsevier, vol. 149(C).
    37. Costantini, Valeria & Sforna, Giorgia, 2020. "A dynamic CGE model for jointly accounting ageing population, automation and environmental tax reform. European Union as a case study," Economic Modelling, Elsevier, vol. 87(C), pages 280-306.
    38. Charles I. Jones, 2022. "The End of Economic Growth? Unintended Consequences of a Declining Population," American Economic Review, American Economic Association, vol. 112(11), pages 3489-3527, November.
    39. Sui, Jianli & Lv, Wenqiang & Gao, Xiang & Koedijk, Kees G., 2024. "China’s GDP-at-Risk: Real-Time Monitoring, Risk Tracing, and Macroeconomic Policy Effects," Journal of International Money and Finance, Elsevier, vol. 147(C).
    40. Mr. Tamim Bayoumi & Mr. Saad N Quayyum & Sibabrata Das, 2021. "Growth at Risk from Natural Disasters," IMF Working Papers 2021/234, International Monetary Fund.
    41. Basso, Henrique S. & Jimeno, Juan F., 2021. "From secular stagnation to robocalypse? Implications of demographic and technological changes," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 833-847.
    42. Iseringhausen, Martin, 2024. "A time-varying skewness model for Growth-at-Risk," International Journal of Forecasting, Elsevier, vol. 40(1), pages 229-246.
    43. Cho, Dooyeon & Lee, Kyung-woo, 2025. "Pension sustainability and government effectiveness in the presence of population aging," Economic Modelling, Elsevier, vol. 147(C).
    44. Chen, Shiyi & Li, Yunpeng & Sun, Qinzhu, 2025. "Population aging and innovation slowdown: Dual mechanisms of firm cost structure and consumption preference," Economic Modelling, Elsevier, vol. 150(C).
    45. Giglio, Stefano & Kelly, Bryan & Pruitt, Seth, 2016. "Systemic risk and the macroeconomy: An empirical evaluation," Journal of Financial Economics, Elsevier, vol. 119(3), pages 457-471.
    46. James Liang & Hui Wang & Edward P. Lazear, 2018. "Demographics and Entrepreneurship," Journal of Political Economy, University of Chicago Press, vol. 126(S1), pages 140-196.
    47. Heer, Burkhard & Polito, Vito & Wickens, Michael R., 2020. "Population aging, social security and fiscal limits," Journal of Economic Dynamics and Control, Elsevier, vol. 116(C).
    48. Adelchi Azzalini & Antonella Capitanio, 2003. "Distributions generated by perturbation of symmetry with emphasis on a multivariate skew t‐distribution," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 65(2), pages 367-389, May.
    49. Zulkefly Abdul Karim & Nurul Aqilah Mohd Nuruddin & Bakri Abdul Karim & Massita Mohamad & Ismahalil Ishak, 2023. "The impact of population aging and fertility rate on economic growth in Malaysia," Economic Journal of Emerging Markets, Universitas Islam Indonesia, vol. 15(2), pages 199-211.
    50. Yue, Ai & Zhang, Xinyue & Gao, Yuan & Song, Qiannan & Gong, Hao & Peng, Yuqing & Shi, Yaojiang, 2025. "The impact of caregiver mental health on child development in rural China: The role of parenting practices and educational investments," Economic Modelling, Elsevier, vol. 152(C).
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    JEL classification:

    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination
    • E00 - Macroeconomics and Monetary Economics - - General - - - General

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