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Optimal Loan Pricing for Agricultural Supply Chains from a Green Credit Perspective

Author

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  • Liurui Deng

    (Business School, Hunan Normal University, Changsha 410081, China)

  • Wentang Xu

    (Business School, Hunan Normal University, Changsha 410081, China)

  • Juan Luo

    (Business School, Hunan Normal University, Changsha 410081, China)

Abstract

In recent years, many countries have proposed various sustainable development strategies around environmental issues. The implementation of green supply chain management is an effective sustainable development approach that combines “environmental awareness” and “economic development.” Therefore, introducing the concept of “green” effectively is the main direction for the sustainable development of agriculture in the future. The impacts of green credit policies on agricultural supply chains have rarely been discussed before. Therefore, we focus on the incentive mechanism of green credit policies in the agricultural supply chain. We use the Stackelberg Leadership Model to construct a pricing model which adds the interest subsidy and required reserve ratio (RRR) cuts, and determines the pricing rules of bank loans and production decisions of the farmer in the agricultural supply chain under the incentive policy of green credit by quantifying the optimization problems of the bank and the farmer. The result shows that optimal decisions exist for both farmer and bank in the supply chain game framework. The implementation of the green credit policies contributes to both of their profits. Additionally, the green credit policies give the bank room to reduce interest rates so that the overall utility level of the supply chain could be improved.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:22:p:12365-:d:675588
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    References listed on IDEAS

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    1. Christopher S. Tang & S. Alex Yang & Jing Wu, 2018. "Sourcing from Suppliers with Financial Constraints and Performance Risk," Manufacturing & Service Operations Management, INFORMS, vol. 20(1), pages 70-84, February.
    2. Robin Burgess & Rohini Pande, 2005. "Do Rural Banks Matter? Evidence from the Indian Social Banking Experiment," American Economic Review, American Economic Association, vol. 95(3), pages 780-795, June.
    3. Zhao, Jing & Tang, Wansheng & Zhao, Ruiqing & Wei, Jie, 2012. "Pricing decisions for substitutable products with a common retailer in fuzzy environments," European Journal of Operational Research, Elsevier, vol. 216(2), pages 409-419.
    4. Davide Forcella & Marek Hudon, 2016. "Green Microfinance in Europe," Journal of Business Ethics, Springer, vol. 135(3), pages 445-459, May.
    5. Fatemi, Ali M. & Fooladi, Iraj J., 2013. "Sustainable finance: A new paradigm," Global Finance Journal, Elsevier, vol. 24(2), pages 101-113.
    6. Huimin Bi & Hao Xiao & Kejuan Sun, 2019. "The Impact of Carbon Market and Carbon Tax on Green Growth Pathway in China: A Dynamic CGE Model Approach," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(6), pages 1312-1325, May.
    7. Johari, Maryam & Hosseini-Motlagh, Seyyed-Mahdi & Rasti-Barzoki, Morteza, 2019. "An evolutionary game theoretic model for analyzing pricing strategy and socially concerned behavior of manufacturers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 506-525.
    8. Atanu Sengupta & Sanjoy De, 2020. "Review of Literature," India Studies in Business and Economics, in: Assessing Performance of Banks in India Fifty Years After Nationalization, chapter 0, pages 15-30, Springer.
    9. Liurui Deng & Lan Yang & Wei Li, 2021. "Impact of Green Credit Financing and Carbon Emission Limits on the Supply Chain Based on POF," Sustainability, MDPI, vol. 13(11), pages 1-20, May.
    10. Wang, Limin & Song, Qiankun, 2020. "Pricing policies for dual-channel supply chain with green investment and sales effort under uncertain demand," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 171(C), pages 79-93.
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    Cited by:

    1. Muwen Wang & Kecheng Zhang, 2022. "Improving Agricultural Green Supply Chain Management by a Novel Integrated Fuzzy-Delphi and Grey-WINGS Model," Agriculture, MDPI, vol. 12(10), pages 1-19, September.
    2. Nan Li & Mingjiang Deng & Hanshu Mou & Deshan Tang & Zhou Fang & Qin Zhou & Changgao Cheng & Yingdi Wang, 2022. "Government Participation in Supply Chain Low-Carbon Technology R&D and Green Marketing Strategy Optimization," Sustainability, MDPI, vol. 14(14), pages 1-27, July.
    3. 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.
    4. Qizheng He & Yong Sun & Maoan Yi, 2023. "Evolutionary Game of Pesticide Reduction Management for Sustainable Agriculture: An Analysis Based on Local Governments, Farmers, and Consumers," Sustainability, MDPI, vol. 15(12), pages 1-19, June.

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