MODEL ANALYSIS OF AGRICULTURAL PRODUCT COLD CHAIN LOGISTICS EFFICIENCY BASED ON A GREEN SUPPLY CHAIN
January 1, 2022 - Li, Xiaoming
Print
EmailJournal or Book Title: FRESENIUS ENVIRONMENTAL BULLETIN
Abstract: As an essential part of the food safety chain, agricultural products have become a symbol of a country's development and technological level. This paper improves the traditional (DEA) model by studying the cold chain logistics of agricultural products in the green supply chain in Northeast China. The network DEA model, combined with qualitative and quantitative analysis, is applied to evaluate the efficiency of cold chain logistics of agricultural products in Northeast China. The results show that the formation of the cold chain logistics agricultural product model is related to the development and evolution of the system. Different socio-economic environments in different regions lead to different directions and speeds of developing and evolving agricultural cold chain systems. Even if the initial models are similar, different performance models will eventually evolve. The traditional DEA model is different from the network DEA model in measuring the efficiency of the agricultural cold chain. The network DEA measurement shows that the third-party cold chain network DEA has the highest average efficiency at 0.7838, which is the highest average efficiency among the four models. DEA's agricultural product cold chain network is the most efficient dairy product cold chain, and the least efficient is the fishery cold chain. This research can provide a policy reference for the government to improve the efficiency of the cold chain of agricultural products, promote its sustainable development, and provide research experience for follow-up related research.
Type of Publication: Article
