IDEAS home Printed from https://ideas.repec.org/a/eee/reveco/v109y2026ics1059056026005356.html

Can public debt drive the development of advanced productive forces? Evidence from AI development

Author

Listed:
  • Li, Xiaoxian
  • Guo, Hongcai
  • Liu, Tongzhou

Abstract

This study examines whether public debt expansion promotes or inhibits advanced productive forces' development using artificial intelligence (AI) development as a representative indicator. Using data from Chinese prefecture-level city investment bonds and A-share listed firms spanning 2013–2023, we investigate the impact of public debt expansion on firms' advanced technology development and the underlying mechanisms. Results reveal that public debt expansion significantly suppresses firms' investment in advanced technologies and the development of advanced productive forces. Mechanism analysis shows that this negative effect primarily operates through intensified financing constraints and crowding out research and development investment. Moreover, tax incentives and government subsidies effectively mitigate the adverse impact of public debt expansion on firms' advanced productive forces. Heterogeneity analysis reveals that the inhibitory effect is more pronounced for nonstate-owned enterprises (non-SOEs), firms with higher risk levels, and those with lower return on assets (ROA), whereas it is insignificant for SOEs, low-risk firms, and those with higher ROA. In addition, we demonstrate that public debt expansion significantly restrains advanced productive forces’ development for manufacturing firms, firms located in eastern China, and those in regions with lower levels of digital inclusive finance, while the effect is insignificant for nonmanufacturing sectors, noneastern regions, and regions with more developed digital inclusive finance.

Suggested Citation

  • Li, Xiaoxian & Guo, Hongcai & Liu, Tongzhou, 2026. "Can public debt drive the development of advanced productive forces? Evidence from AI development," International Review of Economics & Finance, Elsevier, vol. 109(C).
  • Handle: RePEc:eee:reveco:v:109:y:2026:i:c:s1059056026005356
    DOI: 10.1016/j.iref.2026.105422
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1059056026005356
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.iref.2026.105422?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

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:reveco:v:109:y:2026:i:c:s1059056026005356. 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/locate/inca/620165 .

    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.