IDEAS home Printed from https://ideas.repec.org/a/eee/telpol/v49y2025i4s0308596125000291.html
   My bibliography  Save this article

Does artificial intelligence matter for the population aging-inclusive growth nexus? International evidence

Author

Listed:
  • Wen, Huwei
  • Shang, Junjie
  • Nghiem, Xuan-Hoa

Abstract

Population aging is increasingly becoming a major challenge to global sustainable development, and the rapid development of artificial intelligence is expected to produce dividends to cushion the negative impact of population aging. This study uses cross-country panel data from 2003 to 2021 to examine the impact of population aging on inclusive growth and explore the role of artificial intelligence. Empirical results show that population aging has a significant negative impact on global inclusive growth, and demographic changes exacerbate the crisis of sustainable development. Specifically, population aging exacerbates the employment difficulties of groups with downgrading skills, inhibits the technological innovation, and inhibits the acquisition of educational skills, thereby indirectly inhibiting inclusive growth. Although artificial intelligence is the threshold variable for population aging to affect inclusive growth, the effect does not change significantly above and below the threshold. Finite mix models can better capture the buffering effects of artificial intelligence, and as artificial intelligence applications increase, population aging has less negative impact on inclusive growth. These findings contribute to the optimization of public policies for population development and artificial intelligence applications.

Suggested Citation

  • Wen, Huwei & Shang, Junjie & Nghiem, Xuan-Hoa, 2025. "Does artificial intelligence matter for the population aging-inclusive growth nexus? International evidence," Telecommunications Policy, Elsevier, vol. 49(4).
  • Handle: RePEc:eee:telpol:v:49:y:2025:i:4:s0308596125000291
    DOI: 10.1016/j.telpol.2025.102932
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308596125000291
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.telpol.2025.102932?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    Population aging; Inclusive growth; Artificial intelligence; Finite mixture model; International panel data;
    All these keywords.

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

    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:eee:telpol:v:49:y:2025:i:4:s0308596125000291. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/30471/description#description .

    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.