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Dynamic Analysis of the Effects of Aging on China’s Sustainable Economic Growth

Author

Listed:
  • Miao Zhang

    (School of Economics and Management, Wuhan University, Wuhan 430072, China)

  • Shibing You

    (School of Economics and Management, Wuhan University, Wuhan 430072, China)

  • Li Zhang

    (School of Economics and Management, Wuhan University, Wuhan 430072, China)

  • Houli Zhang

    (School of Economics and Management, Wuhan University, Wuhan 430072, China)

  • Yukun Wang

    (School of Economics and Management, Wuhan University, Wuhan 430072, China)

Abstract

China’s aging population has deeply affected the sustainable development of the Chinese economy. Based on the provincial panel data of China’s population and economic indicators from 2000 to 2020, this paper develops a panel vector autoregressive model to analyze the effect of China’s aging population on economic growth under the paths of household consumption and national savings, respectively. The results show that an aging population inhibits household consumption and promotes national saving, which has both direct and indirect effects on economic growth. In particular, an aging population is not conducive to sustainable economic development in the context of China’s slow population growth over the past three years and the contraction of the global economy due to the COVID-19 pandemic. In accordance with the empirical results, this paper puts forward corresponding policy recommendations, as follows: improve the pension security system; develop the silver-hair industry; expand domestic demand in China; encourage fertility; and increase human capital investment to provide an impetus for sustainable economic development.

Suggested Citation

  • Miao Zhang & Shibing You & Li Zhang & Houli Zhang & Yukun Wang, 2023. "Dynamic Analysis of the Effects of Aging on China’s Sustainable Economic Growth," Sustainability, MDPI, vol. 15(6), pages 1-16, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:6:p:5076-:d:1095880
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    References listed on IDEAS

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    1. Klaus Prettner, 2013. "Population aging and endogenous economic growth," Journal of Population Economics, Springer;European Society for Population Economics, vol. 26(2), pages 811-834, April.
    2. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    3. Börsch-Supan, Axel & Weiss, Matthias, 2016. "Productivity and age: Evidence from work teams at the assembly line," The Journal of the Economics of Ageing, Elsevier, vol. 7(C), pages 30-42.
    4. Iñigo Calvo-Sotomayor & Jon Paul Laka & Ricardo Aguado, 2019. "Workforce Ageing and Labour Productivity in Europe," Sustainability, MDPI, vol. 11(20), pages 1-16, October.
    5. İmrohoroğlu, Ayşe & Zhao, Kai, 2018. "The chinese saving rate: Long-term care risks, family insurance, and demographics," Journal of Monetary Economics, Elsevier, vol. 96(C), pages 33-52.
    6. Wen-Hsin Huang & Yen-Ju Lin & Hsien-Feng Lee, 2019. "Impact of Population and Workforce Aging on Economic Growth: Case Study of Taiwan," Sustainability, MDPI, vol. 11(22), pages 1-13, November.
    7. Nicole Maestas & Kathleen J. Mullen & David Powell, 2023. "The Effect of Population Aging on Economic Growth, the Labor Force, and Productivity," American Economic Journal: Macroeconomics, American Economic Association, vol. 15(2), pages 306-332, April.
    8. Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988. "Estimating Vector Autoregressions with Panel Data," Econometrica, Econometric Society, vol. 56(6), pages 1371-1395, November.
    9. Love, Inessa & Zicchino, Lea, 2006. "Financial development and dynamic investment behavior: Evidence from panel VAR," The Quarterly Review of Economics and Finance, Elsevier, vol. 46(2), pages 190-210, May.
    10. Gary Burtless, 2013. "The Impact of Population Aging and Delayed Retirement on Workforce Productivity," Working Papers, Center for Retirement Research at Boston College wp2013-11, Center for Retirement Research.
    11. 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.
    12. Daron Acemoglu & Pascual Restrepo, 2017. "Secular Stagnation? The Effect of Aging on Economic Growth in the Age of Automation," American Economic Review, American Economic Association, vol. 107(5), pages 174-179, May.
    13. Nicole Maestas & Kathleen J. Mullen & David Powell, 2016. "The Effect of Population Aging on Economic Growth, the Labor Force and Productivity," NBER Working Papers 22452, National Bureau of Economic Research, Inc.
    14. Shangmei Zhao & Jiang He & Haijun Yang, 2018. "Population Ageing, Financial Deepening and Economic Growth: Evidence from China," Sustainability, MDPI, vol. 10(12), pages 1-15, December.
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