IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-734-2_34.html

Supply Chain Network and Corporate Leverage Manipulation

In: Proceedings of the 2025 10th International Conference on Social Sciences and Economic Development (ICSSED 2025)

Author

Listed:
  • Qing Gui

    (Huazhong University of Science and Technology, School of Economics)

Abstract

Supply chain networks affect the information environment of the sector in which enterprises are located, and thus have an impact on the level of corporate leverage manipulation. Based on the analysis method of social networks, this paper uses inter-industry input-output data to construct China’s supplytrade network, and uses the data of Chinese listed companies from 2010 to 2019 as a sample to study the impact of supply chain network centrality on corporate leverage manipulation. The study found that the closer the sector is to the center, the more complex the information environment it faces. For the companies located in it, the greater the degree of information asymmetry between outsiders and insiders, and the greater the space for companies to engage in leverage manipulation out of selfish motives. This paper not only provides a new perspective of economic networks for the study of corporate leverage manipulation, but also improves the research on the information mechanism of input-output networks, and provides policy recommendations for China’s “deleveraging” work.

Suggested Citation

  • Qing Gui, 2025. "Supply Chain Network and Corporate Leverage Manipulation," Advances in Economics, Business and Management Research, in: Huaping Sun & Hang Luo & Vilas Gaikar & Natālija Cudečka-Puriņa (ed.), Proceedings of the 2025 10th International Conference on Social Sciences and Economic Development (ICSSED 2025), pages 285-291, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-734-2_34
    DOI: 10.2991/978-94-6463-734-2_34
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    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:spr:advbcp:978-94-6463-734-2_34. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.