IDEAS home Printed from https://ideas.repec.org/a/bla/coecpo/v41y2023i4p674-695.html
   My bibliography  Save this article

The macroeconomic impact of automation: Applications to elderly care

Author

Listed:
  • Chia‐Hui Lu

Abstract

When automation technology can both help a firm's production and be widely used in the provision of long‐term care for the elderly, developments in automation can potentially help alleviate the situation of a declining birthrate in an aging society and increase production and household welfare. In addition, this paper obtains results consistent with the real‐world situation in which population aging and a declining birthrate arise simultaneously. Considering the case where automation technology is developed by firms does not change the main findings. Therefore, the government should encourage people to engage in the development of automation.

Suggested Citation

  • Chia‐Hui Lu, 2023. "The macroeconomic impact of automation: Applications to elderly care," Contemporary Economic Policy, Western Economic Association International, vol. 41(4), pages 674-695, October.
    • Handle: RePEc:bla:coecpo:v:41:y:2023:i:4:p:674-695
    DOI: 10.1111/coep.12618
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/coep.12618
    Download Restriction: no
    File URL: https://libkey.io/10.1111/coep.12618?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. Daron Acemoglu & Pascual Restrepo, 2018. "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," American Economic Review, American Economic Association, vol. 108(6), pages 1488-1542, June.
    2. David de la Croix & Matthias Doepke, 2003. "Inequality and Growth: Why Differential Fertility Matters," American Economic Review, American Economic Association, vol. 93(4), pages 1091-1113, September.
    3. Ken-ichi Hashimoto & Ken Tabata, 2010. "Population aging, health care, and growth," Journal of Population Economics, Springer;European Society for Population Economics, vol. 23(2), pages 571-593, March.
    4. Philippe Aghion & Benjamin F. Jones & Charles I. Jones, 2018. "Artificial Intelligence and Economic Growth," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 237-282, National Bureau of Economic Research, Inc.
    5. 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.
    6. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-1370, November.
    7. Prettner, Klaus, 2019. "A Note On The Implications Of Automation For Economic Growth And The Labor Share," Macroeconomic Dynamics, Cambridge University Press, vol. 23(3), pages 1294-1301, April.
    8. Burkhard Heer & Andreas Irmen, 2019. "Automation, Economic Growth, and the Labor Share - A Comment on Prettner (2019) -," CESifo Working Paper Series 7730, CESifo.
    9. 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.
    10. Lucas, Robert E, Jr, 1990. "Supply-Side Economics: An Analytical Review," Oxford Economic Papers, Oxford University Press, vol. 42(2), pages 293-316, April.
    11. Rosa Aisa & Fernando Pueyo, 2013. "Population aging, health care, and growth: a comment on the effects of capital accumulation," Journal of Population Economics, Springer;European Society for Population Economics, vol. 26(4), pages 1285-1301, October.
    12. Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
    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. Akira Yakita, 2022. "Automation, fertility, and labor share in an aging, overlapping generations economy," Economics Bulletin, AccessEcon, vol. 42(2), pages 889-894.
    2. Stähler, Nikolai, 2021. "The Impact of Aging and Automation on the Macroeconomy and Inequality," Journal of Macroeconomics, Elsevier, vol. 67(C).
    3. Arthur Jacobs & Freddy Heylen, 2021. "Demographic change, secular stagnation and inequality: automation as a blessing?," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 21/1030, Ghent University, Faculty of Economics and Business Administration.
    4. Catarina Peralta & Pedro Mazeda Gil, 2021. "Automation, Education, and Population: Dynamic Effects in an OLG Growth and Fertility Model," CEF.UP Working Papers 2102, Universidade do Porto, Faculdade de Economia do Porto.
    5. Chia-Hui Lu, 2020. "Child labor and compulsory education: the effects of government education policy on economic growth and welfare," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 69(3), pages 637-666, April.
    6. Lu, Chia-Hui, 2021. "The impact of artificial intelligence on economic growth and welfare," Journal of Macroeconomics, Elsevier, vol. 69(C).
    7. 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.
    8. Burkhard Heer & Andreas Irmen & Bernd Süssmuth, 2023. "Explaining the decline in the US labor share: taxation and automation," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 30(6), pages 1481-1528, December.
    9. von Maydell, Richard, 2024. "Artificial Intelligence and its Effect on Competition and Factor Income Shares," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277654, Verein für Socialpolitik / German Economic Association, revised 2024.
    10. Alejandro Cuñat & Marco Maffezzoli, 2007. "Can Comparative Advantage Explain the Growth of us Trade?," Economic Journal, Royal Economic Society, vol. 117(520), pages 583-602, April.
    11. Masaya Yasuoka, 2019. "Elderly care service in an aging society," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 46(1), pages 18-34, January.
    12. Michael Kuhn & Klaus Prettner, 2023. "Rising Longevity, Increasing the Retirement Age, and the Consequences for Knowledge‐based Long‐run Growth," Economica, London School of Economics and Political Science, vol. 90(357), pages 39-64, January.
    13. Heer, Burkhard, 2003. "Welfare costs of inflation in a dynamic economy with search unemployment," Journal of Economic Dynamics and Control, Elsevier, vol. 28(2), pages 255-272, November.
    14. Emerson, Patrick & Knabb, Shawn, 2020. "A demographic headwind: Will an aging society reduce the real interest rate and potential growth?," The Journal of the Economics of Ageing, Elsevier, vol. 17(C).
    15. Francis X. Diebold & Lee E. Ohanian & Jeremy Berkowitz, 1998. "Dynamic Equilibrium Economies: A Framework for Comparing Models and Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(3), pages 433-451.
    16. Klarl, Torben, 2022. "Fragile robots, economic growth and convergence," Economic Modelling, Elsevier, vol. 112(C).
    17. Abeliansky, Ana Lucia & Prettner, Klaus, 2017. "Automation and demographic change," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168215, Verein für Socialpolitik / German Economic Association.
    18. Lu, Chia-Hui, 2018. "Social status, compulsory education, and growth," Economic Modelling, Elsevier, vol. 68(C), pages 425-434.
    19. Gasteiger, Emanuel & Prettner, Klaus, 2022. "Automation, Stagnation, And The Implications Of A Robot Tax," Macroeconomic Dynamics, Cambridge University Press, vol. 26(1), pages 218-249, January.
    20. Torben Klarl, 2022. "Fragile Robots, Economic Growth and Convergence," Bremen Papers on Economics & Innovation 2202, University of Bremen, Faculty of Business Studies and Economics.

    More about this item

    Statistics

    Access and download statistics

    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:bla:coecpo:v:41:y:2023:i:4:p:674-695. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/weaaaea.html .

    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.