IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v100y2026ics1544612326000875.html

Human resource service industry and regional economic growth

Author

Listed:
  • Long, Yang
  • Li, YanPing
  • Yu, Xiaotong
  • Zou, Siqi

Abstract

This study examines the impact of the human resource (HR) service industry on regional economic development in China from 2005 to 2022 using a spatial Durbin model. Empirical findings indicate that the industry significantly enhances regional growth through dual mechanisms: direct strengthening of local economies by optimizing HR allocation and improving labor market efficiency and positive spatial spillover effects in neighboring regions through knowledge dissemination, technological advancement and labor mobility. Analysis using three spatial weighting matrices (binary contiguity, geographic distance and economic disparity) consistently demonstrates the industry’s robust direct and indirect contributions to economic growth. While government policy interventions have effectively supported the sector’s development, challenges persist, including uneven regional development and demographic aging. This study suggests refining supportive policies and increasing investment in infrastructure and talent development to promote more balanced and sustainable regional economic growth, highlighting the critical role of HR services as a catalyst for regional economic integration in China’s evolving landscape.

Suggested Citation

  • Long, Yang & Li, YanPing & Yu, Xiaotong & Zou, Siqi, 2026. "Human resource service industry and regional economic growth," Finance Research Letters, Elsevier, vol. 100(C).
  • Handle: RePEc:eee:finlet:v:100:y:2026:i:c:s1544612326000875
    DOI: 10.1016/j.frl.2026.109556
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612326000875
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.frl.2026.109556?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:100:y:2026:i:c:s1544612326000875. 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.