Green Supply Chain Finance Risk Assessment Model Based on TOPSIS Method

Ying Zhou and Haobo Dong ()
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Ying Zhou: XianDa College of Economics & Humanities Shanghai International Studies University, School of Digital Culture and Tourism
Haobo Dong: China Road and Bridge Corporation

A chapter in Proceedings of the 2025 10th International Conference on Social Sciences and Economic Development (ICSSED 2025), 2025, pp 810-816 from Springer

Abstract: Abstract This study constructs a green supply chain finance risk assessment model based on the TOPSIS method and conducts an empirical analysis using Company H as a case study. First, an assessment indicator system covering exogenous risks, endogenous risks, and subject risks is developed, with the entropy weight method employed to determine indicator weights and reduce subjective influence. Subsequently, the TOPSIS method is used to calculate the green supply chain finance risk assessment values for Company H from 2016 to 2023. The results show an overall downward trend in risk levels, decreasing from 0.7959 in 2016 to 0.2427 in 2023, indicating significant achievements in the company’s green supply chain finance risk management. However, a slight increase (0.0001) in the risk assessment value was observed between 2021 and 2022, suggesting that the company should remain vigilant to potential new risks and continuously optimize its management system. This study enriches the theoretical framework of green supply chain finance risk assessment and provides a scientific decision-making basis for enterprises and financial institutions, contributing to the sustainable development of green supply chain finance.

Keywords: Green supply chain finance; Risk assessment; TOPSIS method; Entropy weight method; Sustainable development (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-734-2_89

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DOI: 10.2991/978-94-6463-734-2_89

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