IDEAS home Printed from https://ideas.repec.org/a/vrs/hjobpa/v11y2020i1p51-58n4.html
   My bibliography  Save this article

The Impact of Population Ageing and Labor Supply on Economic Growth - Analysis Based on Panel Autoregressive Model

Author

Listed:
  • Sun Changing

    (Shanghai University,Shanghai, China)

Abstract

Population Ageing will increase the proportion of the elderly in the population and affect the Labor supply, which will eventually have an effect on the economy. This paper first analyzes the impact of aging on labor supply and economic growth from the theoretical level. Population ageing argues will reduce the supply of labor and hamper economic growth. Then, based on the panel data of 31 provinces, municipalities and autonomous regions in China, this paper uses panel auto-regression Model. An empirical analysis of the interaction between population ageing and labor force is carried out by means of Impulse Response Diagram and variance decomposition. The study adds to evidence that ageing reduces the supply of labor and hence economic growth.

Suggested Citation

  • Sun Changing, 2020. "The Impact of Population Ageing and Labor Supply on Economic Growth - Analysis Based on Panel Autoregressive Model," HOLISTICA – Journal of Business and Public Administration, Sciendo, vol. 11(1), pages 51-58, April.
    • Handle: RePEc:vrs:hjobpa:v:11:y:2020:i:1:p:51-58:n:4
    DOI: 10.2478/hjbpa-2020-0004
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/hjbpa-2020-0004
    Download Restriction: no
    File URL: https://libkey.io/10.2478/hjbpa-2020-0004?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. David E. Bloom & David Canning & Günther Fink, 2010. "Implications of population ageing for economic growth," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 26(4), pages 583-612, Winter.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Patrick A. Imam & Mr. Christian Schmieder, 2024. "Aging Gracefully: Steering the Banking Sector through Demographic Shifts," IMF Working Papers 2024/118, International Monetary Fund.
    2. Patrick A. Imam, 2015. "Shock from Graying: Is the Demographic Shift Weakening Monetary Policy Effectiveness," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 20(2), pages 138-154, March.
    3. Yingzhu Yang & Rong Zheng & Lexiang Zhao, 2021. "Population Aging, Health Investment and Economic Growth: Based on a Cross-Country Panel Data Analysis," IJERPH, MDPI, vol. 18(4), pages 1-16, February.
    4. Paula Prenzel & Simona Iammarino, 2018. "Ageing labour: How does demographic change affect regional human capital?," Papers in Evolutionary Economic Geography (PEEG) 1832, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Aug 2018.
    5. 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.
    6. Federico Barbiellini Amidei & Matteo Gomellini & Paolo Piselli, 2018. "The contribution of demography to Italy's economic growth: a two-hundred-year-long story," Questioni di Economia e Finanza (Occasional Papers) 431, Bank of Italy, Economic Research and International Relations Area.
    7. Héctor Bellido & Miriam Marcén, 2019. "Fertility and the business cycle: the European case," Review of Economics of the Household, Springer, vol. 17(4), pages 1289-1319, December.
    8. Olugbenga Oladinrin & Kasun Gomis & Wadu Mesthrige Jayantha & Lovelin Obi & Muhammad Qasim Rana, 2021. "Scientometric Analysis of Global Scientific Literature on Aging in Place," IJERPH, MDPI, vol. 18(23), pages 1-16, November.
    9. van der Velde, Lucas, 2022. "Phasing out: Routine tasks and retirement," Journal of Comparative Economics, Elsevier, vol. 50(3), pages 784-803.
    10. Heo, Ye Jin, 2022. "Population aging and house prices: Who are we calling old?," The Journal of the Economics of Ageing, Elsevier, vol. 23(C).
    11. Verónica Amarante & Maira Colacce, 2022. "Multidimensional Poverty Among Older People in Five Latin American Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 159(3), pages 945-965, February.
    12. Popoola, Grace Oluwatofunmi & Adeniyi, Olawamiwa Reuben & Omolehin, Raphael Ajayi, 2023. "Are Agricultural Households Resilient to Food Insecurity in Nigeria?," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 15(2), June.
    13. Sang-Hyop Lee & Jungsuk Kim & Donghyun Park, 2017. "Demographic Change and Fiscal Sustainability in Asia," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 134(1), pages 287-322, October.
    14. De Neve, Jan-Walter & Fink, Günther, 2018. "Children’s education and parental old age survival – Quasi-experimental evidence on the intergenerational effects of human capital investment," Journal of Health Economics, Elsevier, vol. 58(C), pages 76-89.
    15. Davis, Colin & Hashimoto, Ken-ichi & Tabata, Ken, 2022. "Demographic structure, knowledge diffusion, and endogenous productivity growth," Journal of Macroeconomics, Elsevier, vol. 71(C).
    16. Siyan Chen & Saul Desiderio, 2023. "An agent-based framework for the analysis of the macroeconomic effects of population aging," Journal of Evolutionary Economics, Springer, vol. 33(2), pages 393-427, April.
    17. Andreas Irmen, 2021. "Automation, growth, and factor shares in the era of population aging," Journal of Economic Growth, Springer, vol. 26(4), pages 415-453, December.
    18. Alfred Garloff & Rüdiger Wapler, 2013. "Are the Number of Skilled Workers Running Out in Germany? The (Non)-Consequences of Demographic Change," ERSA conference papers ersa13p854, European Regional Science Association.
    19. Xinxin Wang & Jingjing Hong & Pengpeng Fan & Shidan Xu & Zhixian Chai & Yubo Zhuo, 2021. "Is China’s urban–rural difference in population aging rational? An international comparison with key indicators," Growth and Change, Wiley Blackwell, vol. 52(3), pages 1866-1891, September.
    20. Yunus Aksoy & Tobias Grasl & Ron P. Smith, 2012. "The Economic Impact of Demographic Structure in OECD Countries," CESifo Working Paper Series 3960, CESifo.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vrs:hjobpa:v:11:y:2020:i:1:p:51-58:n:4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.