IDEAS home Printed from https://ideas.repec.org/a/eee/finana/v105y2025ics1057521925003862.html
   My bibliography  Save this article

Network effects of high-speed railways on corporate bond yield spreads: Evidence from China

Author

Listed:
  • Guo, Hongling
  • Wan, Guochao
  • Wu, Xilinan
  • Song, Xueqian

Abstract

In recent years, China's high-speed railway (HSR) network has experienced rapid expansion, transforming not only the country's physical connectivity but also its “soft environment,” with far-reaching implications for corporate financing in the bond market. This study explores how a firm's centrality within the HSR network affects its corporate bond yield spreads, using evidence from Chinese listed firms. The results indicate that firms with higher HSR network centrality benefit from significantly lower bond yield spreads, primarily due to improvements in the information and governance environment, strengthened regional trust, and an enhanced overall business climate. Notably, this effect is more pronounced for non-state-owned enterprises and firms located in non-central cities, highlighting the function of HSR network in alleviating resource allocation imbalances. Our findings contribute to the study of “HSR economics,” offer new insights into corporate finance and firm location research, and enrich the application of social network analysis in the context of HSR development.

Suggested Citation

  • Guo, Hongling & Wan, Guochao & Wu, Xilinan & Song, Xueqian, 2025. "Network effects of high-speed railways on corporate bond yield spreads: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 105(C).
  • Handle: RePEc:eee:finana:v:105:y:2025:i:c:s1057521925003862
    DOI: 10.1016/j.irfa.2025.104299
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1057521925003862
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.irfa.2025.104299?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

    ;
    ;
    ;
    ;

    JEL classification:

    • G3 - Financial Economics - - Corporate Finance and Governance
    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation 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:eee:finana:v:105:y:2025:i:c:s1057521925003862. 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/620166 .

    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.