基于PCA-DEA模型的福建省生鲜农产品冷链物流效率分析

Cold chain logistics efficiency analysis of fresh agricultural products in Fujian Province based on PCA-DEA model

随着居民可支配收入的提高以及国内生产总值的增长,人们的生活条件与过去相比有了一个质的飞跃。在这样的大背景之下,人们对生鲜农产品的需求不断地增加,不仅需要足量的生鲜农产品,更加考虑生鲜农产品的新鲜度以及安全性,由此期待能够提高冷链物流的效率。文章选取了福建省2012—2021年这10年的冷链物流相关数据,运用PCA模型从众多能够影响冷链物流效率的投入因素中找出主要的影响因素,并用DEA数据包络法算出冷链物流效率,并且对该省的效率进行分析,在此基础上提出相关建议。

With the improvement of residents'disposable income and the growth of GDP,people's living conditions have made a qualitative leap compared with the past.Under such a background,people's demand for fresh agricultural products continues to increase,they not only need a sufficient amount of fresh agricultural products,but also consider the freshness and safety of fresh agricultural products,which is expected to improve the efficiency of cold chain logistics.This paper selected the relevant data of cold chain logistics in Fujian Province from 2012 to 2021,used the PCA model to find out the main influencing factors from many input factors that can affect the efficiency of cold chain logistics,and used the DEA data envelopment method to calculate the efficiency of cold chain logistics,analyzed the efficiency of the province,and put forward relevant suggestions on this basis.