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Research on Performance Evaluation of Green Supply Chain of Agricultural Products Based on G1-Entropy Weight Method

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DOI: 10.23977/agrfem.2022.050103 | Downloads: 3 | Views: 76


Dechuan Geng 1, Huixia Zhu 1, Shuliang Chen 1


1 School of Economics and Management, Liaoning University of Technology, Jinzhou, Liaoning, 121001, China

Corresponding Author

Dechuan Geng


With the continuous improvement of consumers' demand for green quality of products, it is necessary to strengthen the green supply chain management of agricultural products to reduce the useless consumption of resources and environmental pollution losses. Taking the green supply chain of agricultural products as the research object, this study constructs the performance evaluation index system from five aspects: financial performance, innovation performance, supply chain operation performance, green performance and social performance. Then based on the G1 and entropy weight method, the combination weighting performance evaluation with the minimum sum of squares deviation is used. The empirical research shows that supply chain operation performance factor and green performance factor play a leading role in the performance evaluation framework of agricultural green supply chain. In terms of decomposition, it is necessary to focus on the brand size, inventory capacity, response time, environmental reputation and resource utilization efficiency of agricultural products. It also proves that this method is feasible.


Agricultural products, Green supply chain, Performance evaluation, G1-Entropy weight method, Index system


Dechuan Geng, Huixia Zhu, Shuliang Chen, Research on Performance Evaluation of Green Supply Chain of Agricultural Products Based on G1-Entropy Weight Method. Agricultural & Forestry Economics and Management (2022) Vol. 5: 14-21. DOI:


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