IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v331y2023i1d10.1007_s10479-021-04011-5.html
   My bibliography  Save this article

Optimization model of trade credit and asset-based securitization financing in carbon emission reduction supply chain

Author

Listed:
  • Guoshu Dong

    (Zhejiang Shuren University)

  • Ling Liang

    (Shanghai University of International Business and Economics)

  • Lihong Wei

    (Shanghai University of Finance and Economics)

  • Jiaping Xie

    (Shanghai University of Finance and Economics)

  • Guang Yang

    (Shanghai University of Finance and Economics
    Jiangsu Vocational College of Information Technology)

Abstract

As low-carbon products increasingly become popular among consumers, the manufacturers have begun to advocate low-carbon supply chain to meet consumers’ low-carbon preferences. However, low-carbon investments inevitably bring financing constraints to the supply chain. To provide a potential solution to relieve the financial constrain, we established a two-echelon supply chain consisting of a low-carbon product manufacturer and a retailer. Supply chain members can effectively solve their financing constraints by utilizing portfolio financing consisting of the bank loan (BL), trade credit (TC), and asset-based securitization (ABS). We found that under the financial mode of BL and DC (Dual credit refers to the combination of bank loan and trade credit), only when consumers are highly price-sensitive to low-carbon products can tax preference incentivize the manufacturer to reduce carbon emissions. Under DC mode, consumer’s strong low-carbon preference will push up the retail price level of low-cost products; Under portfolio financing with ABS & DC, consumers’ strong low-carbon preference will force up the retail price level of low-carbon products with low price sensitivity. Compared with pure BL and DC, the cash flow under portfolio financing is the tightest. Besides, we took capital demand of the multi-stage scenario into consideration. Moreover, we found that the tax rate and tax deduction ratio of carbon emissions reduction will affect the retail price, wholesale price, and financing decision in the three financial modes when satisfying certain conditions.

Suggested Citation

  • Guoshu Dong & Ling Liang & Lihong Wei & Jiaping Xie & Guang Yang, 2023. "Optimization model of trade credit and asset-based securitization financing in carbon emission reduction supply chain," Annals of Operations Research, Springer, vol. 331(1), pages 35-84, December.
  • Handle: RePEc:spr:annopr:v:331:y:2023:i:1:d:10.1007_s10479-021-04011-5
    DOI: 10.1007/s10479-021-04011-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10479-021-04011-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10479-021-04011-5?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 search for a different version of it.

    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:annopr:v:331:y:2023:i:1:d:10.1007_s10479-021-04011-5. 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.