IDEAS home Printed from https://ideas.repec.org/a/wly/jjmath/v2022y2022i1n1854436.html

The Order Financing Risk Evaluation under the Financial Supply Chain Model Based on the Logistic Model

Author

Listed:
  • Xiaoli Song
  • Xian Wu
  • Chang Liu
  • Huanhuan Yang

Abstract

Order financing, as an innovative business in the financial supply chain model of banks and other financial institutions, has served more and more small and medium‐sized enterprises in recent years, and has also brought new profit points to the financial and logistics industries. Businesses urgently need to carry out relevant risk evaluation research on the risks brought by banks and other financial institutions. Based on this background, this article has carried out relevant research on the construction and evaluation method of the risk evaluation index system of order financing business. Through project research and literature review, the research on the risk evaluation theory and method of order financing carried out by banks and other financial institutions is not perfect. The role‐played in order financing and the key risk variables faced by financial institutions, and innovatively proposed an evaluation method based on the logistics model. Based on the analysis of order financing risk factors, and through literature review and expert interviews, an evaluation index system initially constructed from five aspects: financing companies, downstream core companies, logistics companies, supply chain operations and external environment. Through questionnaire surveys and statistical analysis of the survey results, a complete, qualitied the risk evaluation index system for order financing business was finally determined. Taking the order‐financing project jointly carried out by commercial banks and logistics companies as an example.

Suggested Citation

  • Xiaoli Song & Xian Wu & Chang Liu & Huanhuan Yang, 2022. "The Order Financing Risk Evaluation under the Financial Supply Chain Model Based on the Logistic Model," Journal of Mathematics, John Wiley & Sons, vol. 2022(1).
  • Handle: RePEc:wly:jjmath:v:2022:y:2022:i:1:n:1854436
    DOI: 10.1155/2022/1854436
    as

    Download full text from publisher

    File URL: https://doi.org/10.1155/2022/1854436
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2022/1854436?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. Changjun Zheng & Shiying Chen & Zhenhuan Dong, 2021. "Economic Fluctuation, Local Government Bond Risk and Risk-Taking of City Commercial Banks," Sustainability, MDPI, vol. 13(17), pages 1-26, September.
    2. Koen W. de Bock, 2017. "The best of two worlds: Balancing model strength and comprehensibility in business failure prediction using spline-rule ensembles," Post-Print hal-01588059, HAL.
    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. Yiming Wang, 2022. "Research on Commercial Bank Risk Early Warning Model Based on Dynamic Parameter Optimization Neural Network," Journal of Mathematics, John Wiley & Sons, vol. 2022(1).
    2. Koen W. de Bock & Arno de Caigny, 2021. "Spline-rule ensemble classifiers with structured sparsity regularization for interpretable customer churn modeling," Post-Print hal-03391564, HAL.
    3. Siniša Arsić & Koviljka Banjević & Aleksandra Nastasić & Dragana Rošulj & Miloš Arsić, 2018. "Family Business Owner as a Central Figure in Customer Relationship Management," Sustainability, MDPI, vol. 11(1), pages 1-19, December.
    4. Wanling Qiu & Simon Rudkin & Pawel Dlotko, 2020. "Refining Understanding of Corporate Failure through a Topological Data Analysis Mapping of Altman's Z-Score Model," Papers 2004.10318, arXiv.org.
    5. Dan Zhou & Xue Li & Yao Yao & George S. Chen, 2025. "“If you build it, will they come?”—Did city commercial bank development shape the spatial evolution of foreign direct investment in China?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 74(2), pages 1-30, June.
    6. Van Nguyen, Truong & Zhou, Li & Chong, Alain Yee Loong & Li, Boying & Pu, Xiaodie, 2020. "Predicting customer demand for remanufactured products: A data-mining approach," European Journal of Operational Research, Elsevier, vol. 281(3), pages 543-558.
    7. Schwab, Leila & Gold, Stefan & Reiner, Gerald, 2019. "Exploring financial sustainability of SMEs during periods of production growth: A simulation study," International Journal of Production Economics, Elsevier, vol. 212(C), pages 8-18.
    8. Henri Arno & Klaas Mulier & Joke Baeck & Thomas Demeester, 2025. "Business Failure Prediction From Textual and Tabular Data With Sentence-Level Interpretations," Annals of Operations Research, Springer, vol. 353(2), pages 667-692, October.
    9. Haiyun Ma & Deshuai Hou, 2023. "Local Government Debt and Corporate Maturity Mismatch between Investment and Financing: Evidence from China," Sustainability, MDPI, vol. 15(7), pages 1-17, April.
    10. Changqian Xie & Rubi Ahmad & Eric H Y Koh, 2022. "Does credit rating agency reputation matter in China’s local government bond market?," PLOS ONE, Public Library of Science, vol. 17(9), pages 1-32, September.
    11. Wei Xu & Yuchen Pan & Wenting Chen & Hongyong Fu, 2019. "Forecasting Corporate Failure in the Chinese Energy Sector: A Novel Integrated Model of Deep Learning and Support Vector Machine," Energies, MDPI, vol. 12(12), pages 1-20, June.

    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:wly:jjmath:v:2022:y:2022:i:1:n:1854436. 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: Wiley Content Delivery (email available below). General contact details of provider: https://onlinelibrary.wiley.com/journal/1469 .

    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.