Proceedings of the 2025 10th International Conference on Social Sciences and Economic Development (ICSSED 2025)

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Green Supply Chain Finance Risk Assessment Model Based on TOPSIS Method

Authors
Ying Zhou1, Haobo Dong2, *
1School of Digital Culture and Tourism, XianDa College of Economics & Humanities Shanghai International Studies University, Shanghai, 200083, China
2China Road and Bridge Corporation, Beijing, 100011, China
*Corresponding author. Email: 1832181978@qq.com
Corresponding Author
Haobo Dong
Available Online 27 May 2025.
DOI
10.2991/978-94-6463-734-2_89How to use a DOI?
Keywords
Green supply chain finance; Risk assessment; TOPSIS method; Entropy weight method; Sustainable development
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.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 10th International Conference on Social Sciences and Economic Development (ICSSED 2025)
Series
Advances in Economics, Business and Management Research
Publication Date
27 May 2025
ISBN
978-94-6463-734-2
ISSN
2352-5428
DOI
10.2991/978-94-6463-734-2_89How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Ying Zhou
AU  - Haobo Dong
PY  - 2025
DA  - 2025/05/27
TI  - Green Supply Chain Finance Risk Assessment Model Based on TOPSIS Method
BT  - Proceedings of the 2025 10th International Conference on Social Sciences and Economic Development (ICSSED 2025)
PB  - Atlantis Press
SP  - 810
EP  - 816
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-734-2_89
DO  - 10.2991/978-94-6463-734-2_89
ID  - Zhou2025
ER  -