IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-748-9_32.html

Research on Financing Models of Small and Medium-sized Enterprises in the Automotive Industry Based on Supply Chain Finance

In: Proceedings of the 2025 International Conference on Financial Risk and Investment Management (ICFRIM 2025)

Author

Listed:
  • Huangjiyang Jiang

    (Central University of Finance and Economics, School of Insurance)

Abstract

This paper explores the theoretical and practical aspects of supply chain finance (SCF) as applied to small and medium-sized enterprises (SMEs) in the automotive industry, considering the challenges of the current economic landscape. It begins with an in-depth analysis of the theoretical framework of SCF, laying a solid foundation for subsequent discussions. The study then examines the financial challenges and opportunities faced by SMEs in the automotive sector, providing a detailed assessment of their current financing environment. Building on this analysis, the paper proposes an innovative SCF-based financing model tailored to the automotive industry. This model is designed to optimize cash flow, lower financing costs, and enhance supply chain efficiency. The findings contribute to the existing body of knowledge on SCF while offering fresh perspectives for SMEs in the automotive sector to achieve sustainable growth amid a complex market environment. Looking ahead, this research underscores the importance of advancing the application of SCF within SMEs in the automotive industry. By fostering financial innovation and supporting industrial transformation, the continued evolution of SCF has the potential to drive long-term development and competitiveness in the sector.

Suggested Citation

  • Huangjiyang Jiang, 2025. "Research on Financing Models of Small and Medium-sized Enterprises in the Automotive Industry Based on Supply Chain Finance," Advances in Economics, Business and Management Research, in: Maizaitulaidawati Md Husin (ed.), Proceedings of the 2025 International Conference on Financial Risk and Investment Management (ICFRIM 2025), pages 283-291, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-748-9_32
    DOI: 10.2991/978-94-6463-748-9_32
    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:978-94-6463-748-9_32. 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.