[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/a/ebl/ecbull/eb-22-00125.html
   My bibliography  Save this article

Automation, fertility, and labor share in an aging, overlapping generations economy

Author

Listed:
  • Akira Yakita

    (Nanzan University)

Abstract
This paper presents an analysis of the effect of population aging on automation in production using an overlapping generations model with endogenous fertility decisions by individuals. Population aging induces individuals to reduce the number of children they have to prepare for a longer (expected) retirement. If an extension of life expectancy substantially reduces the fertility rate, then population aging decreases the automation capital per worker. However, population aging lowers the labor share.

Suggested Citation

  • Akira Yakita, 2022. "Automation, fertility, and labor share in an aging, overlapping generations economy," Economics Bulletin, AccessEcon, vol. 42(2), pages 889-894.
  • Handle: RePEc:ebl:ecbull:eb-22-00125
    as

    Download full text from publisher

    File URL: http://www.accessecon.com/Pubs/EB/2022/Volume42/EB-22-V42-I2-P75.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Robert M. Solow, 1956. "A Contribution to the Theory of Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 70(1), pages 65-94.
    2. 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.
    3. 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.
    4. 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.
    5. Akira Yakita, 2017. "Population Aging, Fertility and Social Security," Population Economics, Springer, number 978-3-319-47644-5, September.
    6. Burkhard Heer & Andreas Irmen, 2019. "Automation, Economic Growth, and the Labor Share - A Comment on Prettner (2019) -," CESifo Working Paper Series 7730, CESifo.
    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. 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.
    2. Sasaki, Hiroaki, 2023. "Growth with automation capital and declining population," Economics Letters, Elsevier, vol. 222(C).
    3. 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.
    4. Klarl, Torben, 2022. "Fragile robots, economic growth and convergence," Economic Modelling, Elsevier, vol. 112(C).
    5. Ana Lucia Abeliansky & Klaus Prettner, 2021. "Population Growth and Automation Density: Theory and CrossCountry Evidence," VID Working Papers 2102, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna.
    6. Stähler, Nikolai, 2021. "The Impact of Aging and Automation on the Macroeconomy and Inequality," Journal of Macroeconomics, Elsevier, vol. 67(C).
    7. 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.
    8. 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.
    9. Torben Klarl, 2022. "Fragile Robots, Economic Growth and Convergence," Bremen Papers on Economics & Innovation 2202, University of Bremen, Faculty of Business Studies and Economics.
    10. 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.
    11. Abeliansky, Ana Lucia & Prettner, Klaus, 2023. "Automation and population growth: Theory and cross-country evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 208(C), pages 345-358.
    12. 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.
    13. Martin Labaj & Daniel Dujava, 2019. "Economic growth and convergence during the transition to production using automation capital," Department of Economic Policy Working Paper Series 017, Department of Economic Policy, Faculty of National Economy, University of Economics in Bratislava.
    14. Stephan Brunow & Stefanie Lösch & Ostap Okhrin, 2022. "Labor market tightness and individual wage growth: evidence from Germany," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 56(1), pages 1-21, December.
    15. Dario Cords & Klaus Prettner, 2022. "Technological unemployment revisited: automation in a search and matching framework [The future of work: meeting the global challenges of demographic change and automation]," Oxford Economic Papers, Oxford University Press, vol. 74(1), pages 115-135.
    16. David E. Bloom & Klaus Prettner & Jamel Saadaoui & Mario Veruete, 2023. "Artificial intelligence and the skill premium," Papers 2311.09255, arXiv.org.
    17. 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.
    18. Chen, Simiao & Prettner, Klaus & Kuhn, Michael & Bloom, David E., 2021. "The economic burden of COVID-19 in the United States: Estimates and projections under an infection-based herd immunity approach," The Journal of the Economics of Ageing, Elsevier, vol. 20(C).
    19. Prettner, Klaus & Strulik, Holger, 2020. "Innovation, automation, and inequality: Policy challenges in the race against the machine," Journal of Monetary Economics, Elsevier, vol. 116(C), pages 249-265.
    20. 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.

    More about this item

    Keywords

    population aging; automation; labor share;
    All these keywords.

    JEL classification:

    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • J1 - Labor and Demographic Economics - - Demographic Economics

    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:ebl:ecbull:eb-22-00125. 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: John P. Conley (email available below). General contact details of provider: .

    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.