IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0303807.html
   My bibliography  Save this article

Granting analysis of the credit financing of the platform-type highway transportation supply chain

Author

Listed:
  • Lili Xu
  • Feng Liu
  • Xuejian Chu

Abstract

Against the background of digital development, this study’s research object is the platform-based highway transportation supply chain. It also analyzes two modes of supply chain financial credit financing, namely, upstream, and downstream enterprises of the platform, and network freight platform as the main financing body. Notably, the financial provider sets up a transaction credit based on the principle of business truth, and closed-loop transactions, determine the upper limit of the credit line based on the principle of financing self-compensation, build the expected profit maximization model, and establish the optimal credit line. Combined with the Highway Freight Index and Logistics Prosperity Index, the dynamic early warning value is established for the financing mode, where the platform as the main financing body. Through numerical analysis, the credit line and expected profit increase with the transaction credit, expected freight volume, and credit interest rate under the two modes, and the increase deriving from the credit interest rate is more significant. Finally, this paper describes the two-dimensional credit matrix of the financing subject via transaction credit and credit interest rate, which provides an intuitive credit reference for financial institutions to conduct the credit financing of the platform-based highway transportation supply chain.

Suggested Citation

  • Lili Xu & Feng Liu & Xuejian Chu, 2024. "Granting analysis of the credit financing of the platform-type highway transportation supply chain," PLOS ONE, Public Library of Science, vol. 19(7), pages 1-21, July.
  • Handle: RePEc:plo:pone00:0303807
    DOI: 10.1371/journal.pone.0303807
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0303807
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0303807&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0303807?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
    ---><---

    References listed on IDEAS

    as
    1. Ling Liu & Qiaoyu Peng, 2022. "Evolutionary Game Analysis of Enterprise Green Innovation and Green Financing in Platform Supply Chain," Sustainability, MDPI, vol. 14(13), pages 1-13, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Liping Wang & Zhijia Wang & Lili Tian & Chuang Li, 2022. "Evolutionary Game and Numerical Simulation of Enterprises’ Green Technology Innovation: Based on the Credit Sales Financing Service of Supply Chain," Sustainability, MDPI, vol. 15(1), pages 1-25, December.
    2. Hongbo Guo & Mengtong Lu & Lili Ding, 2022. "The Effect of Consumer Sentiment on Manufacturers’ Green Technology Innovation: A RDEU Evolutionary Game Model," Sustainability, MDPI, vol. 15(1), pages 1-18, December.
    3. Hongjian Yu & Yao Zhao & Guitao Qiao & Mahmood Ahmad, 2023. "Can Green Financial Reform Policies Promote Enterprise Development? Empirical Evidence from China," Sustainability, MDPI, vol. 15(3), pages 1-21, February.
    4. Zhihan Chen & Weilun Huang, 2023. "Evolutionary Game Analysis of Governmental Intervention in the Sustainable Mechanism of China’s Blue Finance," Sustainability, MDPI, vol. 15(9), pages 1-37, April.

    More about this item

    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:plo:pone00:0303807. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.