Research on Influencing Factors of Logistics Efficiency Based on DEA Model

Abstract

This paper studies the input and output indicators of logistics and various factors that affect logistics efficiency, constructs DEA model and multiple regression model, analyzes and predicts each factor, and then obtains the influence of each factor on logistics efficiency. It is found that the influence of technological progress on logistics efficiency is very important. Through the analysis of the data, it is found that the logistics industry generally has the problem of high cost, which seriously hinders the development of the logistics industry. Based on the traditional DEA model, this paper continuously optimizes it, introduces dynamic DEA model, and comprehensively uses cross-sectional data and time data for analysis, which improves the accuracy and precision of studying logistics efficiency. By using multiple regression model, several samples are selected, and the overall trend is inferred according to the sample prediction results, which simplifies the process of solving and data processing. The comprehensive application of various models makes the research results more convincing.