Research on Benefit Distribution of Green Supply Chain Finance under Uncertainty Demand Conditions
DOI: 10.23977/ferm.2023.060603 | Downloads: 23 | Views: 420
Author(s)
Danyu Zhao 1, Yiwensi Zhao 1
Affiliation(s)
1 University of Wollongong, Sydney, Australia
Corresponding Author
Danyu ZhaoABSTRACT
With the increasing awareness of environmental protection, green supply chain finance has been widely recognized. However, due to the imperfect profit distribution mechanism, its development is blocked. Therefore, this study attempts to integrate this concept into green supply chain finance, so as to better solve the problem of benefit distribution in the uncertain environment, and to construct a benefit distribution model of green supply chain finance with multiple goals based on the Shapley-value method. According to the research results, when the expected profit of an enterprise exceeds the index profit, the Shapley value method will be used to reasonably allocate resources reasonably. In addition, through government supervision, Pareto efficiency will also be improved, which can not only solve the fair conflict when enterprises develop green finance, but also ensure the fair distribution of resources and make the use of resources more orderly.
KEYWORDS
Green supply chain finance; Shapley value method; Pareto efficiency; Profit distributionCITE THIS PAPER
Danyu Zhao, Yiwensi Zhao, Research on Benefit Distribution of Green Supply Chain Finance under Uncertainty Demand Conditions. Financial Engineering and Risk Management (2023) Vol. 6: 17-22. DOI: http://dx.doi.org/10.23977/ferm.2023.060603.
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