Research Article
Research and Statistical Application of Fuzzy Comprehensive Evaluation of Green Development Level of Logistics Enterprises in China Based on Driver-Pressure-State-Impact-Response Framework
@INPROCEEDINGS{10.4108/eai.17-6-2022.2322687, author={Cong Wang and Shan Lu}, title={Research and Statistical Application of Fuzzy Comprehensive Evaluation of Green Development Level of Logistics Enterprises in China Based on Driver-Pressure-State-Impact-Response Framework}, proceedings={Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China}, publisher={EAI}, proceedings_a={ICIDC}, year={2022}, month={10}, keywords={component; green logistics; dpsir; ahp; fuzzy comprehensive evaluation}, doi={10.4108/eai.17-6-2022.2322687} }- Cong Wang
Shan Lu
Year: 2022
Research and Statistical Application of Fuzzy Comprehensive Evaluation of Green Development Level of Logistics Enterprises in China Based on Driver-Pressure-State-Impact-Response Framework
ICIDC
EAI
DOI: 10.4108/eai.17-6-2022.2322687
Abstract
Green and sustainable development will become the mainstream of The Times. Logistics, as a service industry closely related to the people, should vigorously promote green development. How to evaluate the green development degree of an express delivery enterprise needs not only qualitative explanation, but also quantitative objective evaluation. In this paper, DPSIR method is applied to construct the evaluation index system of green development of logistics enterprises. After in-depth investigation and understanding of relevant enterprises, this paper analyzes the life cycle of logistics, such as receiving, packaging sorting, transportation, storage and distribution processes. By using the analytic Hierarchy Process (AHP) and fuzzy comprehensive evaluation method, we collected data from some companies and used relevant statistics for analysis, then the development degree of green logistics is quantified, and the green development degree of China's logistics enterprises is quantitatively analyzed.