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Credit evaluation and rating system for farmers' loans in the context of agricultural supply chain financing based on AHP-ELECTRE III

Author

Listed:
  • Shangjia Guo

    (College of Economics and Management, Northwest Agricultural and Forestry University, Yangling, P. R. China)

  • Rong Niu

    (College of Economics and Management, Northwest Agricultural and Forestry University, Yangling, P. R. China)

  • Yanbo Zhao

    (College of Economics and Management, Northwest Agricultural and Forestry University, Yangling, P. R. China)

Abstract

Farmers, often vulnerable within the agricultural supply chain, frequently encounter difficulties accessing and affording loans. This study introduces an innovative credit risk evaluation framework for farmers tailored to the agricultural supply chain. It includes three key aspects: farmers' credit characteristics, the operational status of the agricultural supply chain, and overall credit conditions. Initially, the analytic hierarchy process (AHP) was used to assign weight coefficients to indicators. Then, the Elimination et Choix Traduisant la Réalité III (ELECTRE III) model was employed to determine farmers' credit ratings. To demonstrate the impact of the agricultural supply chain on microfinance, the model's effectiveness was then tested with 398 microfinance survey responses from Fuping County (World Dairy Goat Industry Development Demonstration Zone), Shaanxi Province, China, and its accuracy was further verified using BP neural network analysis. The results demonstrated the model's proficiency in assessing farmers' credit levels within the agricultural supply chain, which can aid in the resolution of various credit assessment and rating challenges. Furthermore, this study offers valuable insights into the integration of multi-criteria decision-making and machine-learning methods.

Suggested Citation

  • Shangjia Guo & Rong Niu & Yanbo Zhao, 2024. "Credit evaluation and rating system for farmers' loans in the context of agricultural supply chain financing based on AHP-ELECTRE III," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 70(11), pages 541-555.
    • Handle: RePEc:caa:jnlage:v:70:y:2024:i:11:id:434-2023-agricecon
    DOI: 10.17221/434/2023-AGRICECON
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    1. Edward Knopf & Richard Schoney, 1993. "An Evaluation of Farm Financial Benchmarks and Loan Success/Failure: The Case of the Agricultural Credit Corporation of Saskatchewan," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 41(1), pages 61-69, March.
    2. Angilella, Silvia & Mazzù, Sebastiano, 2015. "The financing of innovative SMEs: A multicriteria credit rating model," European Journal of Operational Research, Elsevier, vol. 244(2), pages 540-554.
    3. Pranith K. Roy & Krishnendu Shaw, 2023. "A credit scoring model for SMEs using AHP and TOPSIS," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 372-391, January.
    4. Govindaray N. Nayak & Calum G. Turvey, 1997. "Credit Risk Assessment and the Opportunity Costs of Loan Misclassification," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 45(3), pages 285-299, November.
    5. Wenli Cheng & Nan Zhou & Longyao Zhang, 2021. "How does land titling affect credit demand, supply, access, and rationing: Evidence from China," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 69(3), pages 383-414, September.
    6. Galo, Nadya Regina & Calache, Lucas Daniel Del Rosso & Carpinetti, Luiz Cesar Ribeiro, 2018. "A group decision approach for supplier categorization based on hesitant fuzzy and ELECTRE TRI," International Journal of Production Economics, Elsevier, vol. 202(C), pages 182-196.
    7. Luca Zanin, 2022. "Estimating the effects of ESG scores on corporate credit ratings using multivariate ordinal logit regression," Empirical Economics, Springer, vol. 62(6), pages 3087-3118, June.
    8. Ao Yu & Zhuoqiang Jia & Weike Zhang & Ke Deng & Francisco Herrera, 2020. "A Dynamic Credit Index System for TSMEs in China Using the Delphi and Analytic Hierarchy Process (AHP) Methods," Sustainability, MDPI, vol. 12(5), pages 1-21, February.
    9. Chen, Liang-Hsuan & Chiou, Tai-Wei, 1999. "A fuzzy credit-rating approach for commercial loans: a Taiwan case," Omega, Elsevier, vol. 27(4), pages 407-419, August.
    10. S. N. Kulshreshtha, 1973. "Discriminating Credit Worthiness Of Canadian Prairie Farmers," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 21(2), pages 16-24, July.
    11. Papadopoulos, Agis & Karagiannidis, Avraam, 2008. "Application of the multi-criteria analysis method Electre III for the optimisation of decentralised energy systems," Omega, Elsevier, vol. 36(5), pages 766-776, October.
    12. Srinivasan, Venkat & Bolster, Paul J., 1990. "An industrial bond rating model based on the Analytic Hierarchy Process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 105-119, September.
    13. Nowrouz Kohzadi & Milton S. Boyd & Iebeling Kaastra & Bahman S. Kermanshahi & David Scuse, 1995. "Neural Networks for Forecasting: An Introduction," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 43(3), pages 463-474, November.
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