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Farmers’ Credit Risk Assessment Based on Sustainable Supply Chain Finance for Green Agriculture

Author

Listed:
  • Yuehua Xia

    (Department of Mathematics, Gansu Normal College for Nationalities, Hezuo 747000, China)

  • Honggen Long

    (Department of Industrial Engineering and Management, Business School, Sichuan University, Chengdu 610041, China)

  • Zhi Li

    (Department of Industrial Engineering and Management, Business School, Sichuan University, Chengdu 610041, China)

  • Jiasen Wang

    (Department of Industrial Engineering and Management, Business School, Sichuan University, Chengdu 610041, China)

Abstract

With the development of green agriculture, the demand of farmers for operation loans is increasing. Supply chain finance is becoming a new way to solve the problem of difficult credit in agricultural development. As the importance of sustainability issues continues to rise, there are growing numbers of practical examples of combining agricultural supply chain finance (ASCF) with sustainability, and the attendant risks are emerging. The objectives of this study are first to construct a risk indicator system for sustainable ASCF, then to propose a fuzzy decision method that considers the confidence of decision-makers, and finally to perform a risk assessment of a credit case in the coffee bean supply chain. A combination of the neutrosophic enhanced best–worst method (NE-BWM) and combined compromise solution (COCOSO) is used to evaluate risk problems. The practicality and effectiveness of this research method is verified by a numerical simulation and a comparison with the method. The results show that the credit rating of core companies is the most important indicator. In the context of green and sustainable development, this indicator system is more suitable for the current green transformation development of agriculture and can help decision-makers scientifically and reasonably assess the risk level of ASCF. When loans are needed to transform green agriculture, this study provides new ideas for credit models for various actors in the agricultural supply chain and offers a new entry point to the issue of sustainable agricultural development.

Suggested Citation

  • Yuehua Xia & Honggen Long & Zhi Li & Jiasen Wang, 2022. "Farmers’ Credit Risk Assessment Based on Sustainable Supply Chain Finance for Green Agriculture," Sustainability, MDPI, vol. 14(19), pages 1-20, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:12836-:d:936462
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    References listed on IDEAS

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    1. Shizhen Bai & Xuelian Jia, 2022. "Agricultural Supply Chain Financing Strategies under the Impact of Risk Attitudes," Sustainability, MDPI, vol. 14(14), pages 1-18, July.
    2. 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.
    3. 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.
    4. Rezaei, Jafar & Hemmes, Alexander & Tavasszy, Lori, 2017. "Multi-criteria decision-making for complex bundling configurations in surface transportation of air freight," Journal of Air Transport Management, Elsevier, vol. 61(C), pages 95-105.
    5. Zhaoliang Li & Minghao Jin & Jianwei Cheng, 2021. "Economic growth of green agriculture and its influencing factors in china: Based on emergy theory and spatial econometric model," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(10), pages 15494-15512, October.
    6. Lam, Hugo K.S. & Zhan, Yuanzhu & Zhang, Minhao & Wang, Yichuan & Lyons, Andrew, 2019. "The effect of supply chain finance initiatives on the market value of service providers," International Journal of Production Economics, Elsevier, vol. 216(C), pages 227-238.
    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. Zhixin Chen & Jian Chen & Zhonggen Zhang & Xiaojuan Zhi, 2019. "Does network governance based on banks’ e-commerce platform facilitate supply chain financing?," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 11(4), pages 688-703, June.
    9. 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.
    10. Liurui Deng & Wentang Xu & Juan Luo, 2021. "Optimal Loan Pricing for Agricultural Supply Chains from a Green Credit Perspective," Sustainability, MDPI, vol. 13(22), pages 1-21, November.
    11. Johari, Maryam & Hosseini-Motlagh, Seyyed-Mahdi, 2022. "Evolutionary behaviors regarding pricing and payment-convenience strategies with uncertain risk," European Journal of Operational Research, Elsevier, vol. 297(2), pages 600-614.
    12. Zhu, You & Zhou, Li & Xie, Chi & Wang, Gang-Jin & Nguyen, Truong V., 2019. "Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach," International Journal of Production Economics, Elsevier, vol. 211(C), pages 22-33.
    13. Josef-Peter Schöggl & Morgane M.C. Fritz & Rupert Baumgartner, 2016. "Toward supply chain-wide sustainability assessment: a conceptual framework and an aggregation method to assess supply chain performance," Post-Print hal-02547245, HAL.
    14. Qi Zhou & Xiangfeng Chen & Shuting Li, 2018. "Innovative Financial Approach for Agricultural Sustainability: A Case Study of Alibaba," Sustainability, MDPI, vol. 10(3), pages 1-20, March.
    15. Bai, Chunguang & Shi, Baofeng & Liu, Feng & Sarkis, Joseph, 2019. "Banking credit worthiness: Evaluating the complex relationships," Omega, Elsevier, vol. 83(C), pages 26-38.
    16. Rezaei, Jafar, 2016. "Best-worst multi-criteria decision-making method: Some properties and a linear model," Omega, Elsevier, vol. 64(C), pages 126-130.
    17. Rezaei, Jafar, 2015. "Best-worst multi-criteria decision-making method," Omega, Elsevier, vol. 53(C), pages 49-57.
    18. Zelong Yi & Yulan Wang & Ying‐Ju Chen, 2021. "Financing an Agricultural Supply Chain with a Capital‐Constrained Smallholder Farmer in Developing Economies," Production and Operations Management, Production and Operations Management Society, vol. 30(7), pages 2102-2121, July.
    19. Dragisa Stanujkic & Gabrijela Popovic & Edmundas Kazimieras Zavadskas & Darjan Karabasevic & Arune Binkyte-Veliene, 2020. "Assessment of Progress towards Achieving Sustainable Development Goals of the “Agenda 2030” by Using the CoCoSo and the Shannon Entropy Methods: The Case of the EU Countries," Sustainability, MDPI, vol. 12(14), pages 1-19, July.
    20. Wetzel, Philipp & Hofmann, Erik, 2019. "Supply chain finance, financial constraints and corporate performance: An explorative network analysis and future research agenda," International Journal of Production Economics, Elsevier, vol. 216(C), pages 364-383.
    21. Edmundas Kazimieras Zavadskas & Abbas Mardani & Zenonas Turskis & Ahmad Jusoh & Khalil MD Nor, 2016. "Development of TOPSIS Method to Solve Complicated Decision-Making Problems — An Overview on Developments from 2000 to 2015," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(03), pages 645-682, May.
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    Cited by:

    1. Jian Li & Xin Yan & Yongwu Li & Xuefan Dong, 2023. "Optimizing the Agricultural Supply Chain through E-Commerce: A Case Study of Tudouec in Inner Mongolia, China," IJERPH, MDPI, vol. 20(5), pages 1-19, February.

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