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Credit rating of sustainable agricultural supply chain finance by integrating heterogeneous evaluation information and misclassification risk

Author

Listed:
  • Decui Liang

    (University of Electronic Science and Technology of China)

  • Wen Cao

    (University of Electronic Science and Technology of China)

  • Mingwei Wang

    (University of Electronic Science and Technology of China)

Abstract

Supply chain finance (SCF) is a financial service that provides convenient loan transactions for small- and medium-sized enterprises (SMEs) upstream and downstream of the supply chain. SCF can help to smooth the capital flow of many SMEs. However, it is difficult for agricultural SMEs to participate in SCF because this kind of SME usually has various risks. Objectively, evaluating the credit rating of agricultural SMEs is difficult for commercial banks. Furthermore, unlike general manufacturing enterprises, agricultural enterprises produce directly based on nature. Sustainable development based on the natural environment is very important for agricultural enterprises. In this paper, considering sustainability, we construct a criteria system to evaluate the credit ratings of agricultural SMEs for SCF. Moreover, we study a method for processing the hybrid heterogeneous evaluation information of SMEs. A co-decision method is proposed to classify the credit ratings of agricultural SMEs with the help of three-way decisions. Agricultural SMEs are evaluated by both criteria evaluation information and misclassification loss. Finally, a credit rating evaluation example is presented to demonstrate the application of our method. The results show that our proposed method can be used to fully evaluate agricultural SMEs with fine classification effects. It can also provide a reference for commercial banks to determine the credit of agricultural SMEs with a low decision risk.

Suggested Citation

  • Decui Liang & Wen Cao & Mingwei Wang, 2023. "Credit rating of sustainable agricultural supply chain finance by integrating heterogeneous evaluation information and misclassification risk," Annals of Operations Research, Springer, vol. 331(1), pages 189-219, December.
    • Handle: RePEc:spr:annopr:v:331:y:2023:i:1:d:10.1007_s10479-021-04453-x
    DOI: 10.1007/s10479-021-04453-x
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    1. Loomes, Graham & Sugden, Robert, 1982. "Regret Theory: An Alternative Theory of Rational Choice under Uncertainty," Economic Journal, Royal Economic Society, vol. 92(368), pages 805-824, December.
    2. Sengupta, Atanu & Pal, Tapan Kumar, 2000. "On comparing interval numbers," European Journal of Operational Research, Elsevier, vol. 127(1), pages 28-43, November.
    3. Shi Chen & Qinqin Zhang & Yong‐Pin Zhou, 2019. "Impact of Supply Chain Transparency on Sustainability under NGO Scrutiny," Production and Operations Management, Production and Operations Management Society, vol. 28(12), pages 3002-3022, December.
    4. Lang Zhang & Haiqing Hu & Dan Zhang, 2015. "A credit risk assessment model based on SVM for small and medium enterprises in supply chain finance," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 1(1), pages 1-21, December.
    5. Giannis Karagiannis & Suzanna M. Paleologou, 2021. "A regression-based improvement to the multiple criteria ABC inventory classification analysis," Annals of Operations Research, Springer, vol. 306(1), pages 369-382, November.
    6. Alsawafi, Ahmed & Lemke, Fred & Yang, Ying, 2021. "The impacts of internal quality management relations on the triple bottom line: A dynamic capability perspective," International Journal of Production Economics, Elsevier, vol. 232(C).
    7. Xuedong Liang & Xianli Zhao & Min Wang & Zhi Li, 2018. "Small and Medium-Sized Enterprises Sustainable Supply Chain Financing Decision Based on Triple Bottom Line Theory," Sustainability, MDPI, vol. 10(11), pages 1-17, November.
    8. Han Lai & Huchang Liao & Jonas Šaparauskas & Audrius Banaitis & Fernando A. F. Ferreira & Abdullah Al-Barakati, 2020. "Sustainable Cloud Service Provider Development by a Z-Number-Based DNMA Method with Gini-Coefficient-Based Weight Determination," Sustainability, MDPI, vol. 12(8), pages 1-17, April.
    9. Tseng, Ming-Lang & Wu, Kuo-Jui & Hu, Jiayao & Wang, Chin-Hsin, 2018. "Decision-making model for sustainable supply chain finance under uncertainties," International Journal of Production Economics, Elsevier, vol. 205(C), pages 30-36.
    10. Xu, Xinhan & Chen, Xiangfeng & Jia, Fu & Brown, Steve & Gong, Yu & Xu, Yifan, 2018. "Supply chain finance: A systematic literature review and bibliometric analysis," International Journal of Production Economics, Elsevier, vol. 204(C), pages 160-173.
    11. Tseng, Ming-Lang & Lim, Ming K. & Wu, Kuo-Jui, 2019. "Improving the benefits and costs on sustainable supply chain finance under uncertainty," International Journal of Production Economics, Elsevier, vol. 218(C), pages 308-321.
    12. David E. Bell, 1982. "Regret in Decision Making under Uncertainty," Operations Research, INFORMS, vol. 30(5), pages 961-981, October.
    13. Lo Nigro, Giovanna & Favara, Giovanni & Abbate, Lorenzo, 2021. "Supply chain finance: The role of credit rating and retailer effort on optimal contracts," International Journal of Production Economics, Elsevier, vol. 240(C).
    14. Chunguang Bai & Simonov Kusi-Sarpong & Hadi Badri Ahmadi & Joseph Sarkis, 2019. "Social sustainable supplier evaluation and selection: a group decision-support approach," International Journal of Production Research, Taylor & Francis Journals, vol. 57(22), pages 7046-7067, November.
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