IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v86y2025ipcs1544612325018240.html

Policy reinvention and regional innovation performance: from financial, fiscal, tax, and talent policy mix networks

Author

Listed:
  • Zhao, Yu
  • Guan, Hongling

Abstract

This study discusses central-subnational policy reinvention's impact on regional innovation performance. We employ Large Language Models (LLMs) and network analysis to large-scale data of policy documents, characterizing policy mix of financial and other policies through "policy instruments-policy targets" network, and measuring policy reinvention between subnational and central governments. The empirical results demonstrate that policy reinvention significantly enhances regional innovation performance. Mechanism analysis shows that this effect operates primarily through alleviating resource misallocation. Heterogeneity analysis shows that the positive effects of policy reinvention differ by location and are weakened under high fiscal decentralization and fiscal pressure.

Suggested Citation

  • Zhao, Yu & Guan, Hongling, 2025. "Policy reinvention and regional innovation performance: from financial, fiscal, tax, and talent policy mix networks," Finance Research Letters, Elsevier, vol. 86(PC).
  • Handle: RePEc:eee:finlet:v:86:y:2025:i:pc:s1544612325018240
    DOI: 10.1016/j.frl.2025.108570
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612325018240
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.frl.2025.108570?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:finlet:v:86:y:2025:i:pc:s1544612325018240. 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/frl .

    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.