Abstract:
This paper uses the super-efficiency DEA model and Malmquist index to make an empirical study on the logistics industry efficiency of 11 provinces and cities in the Yangtze River Economic Belt from the static and dynamic perspectives respectively. The Tobit model is used to analyze the influencing factors and degree of logistics industry efficiency. The results show that from the static analysis results, the efficiency of logistics industry in the Yangtze River Economic Belt has reached an effective level in 2010-2019 as a whole, but it shows a trend of fluctuation rising and then falling, and presents a step-like distribution of “downstream > midstream > upstream” in the spatial region; From the results of dynamic analysis, the decline of technological progress is the main factor leading to the decline of total factor productivity in the Yangtze River Economic Belt; From the analysis results of influencing factors, the government support has a restrictive effect on the efficiency improvement of logistics industry, and the regional development level, opening-up degree and informatization level have a significant role in promoting the efficiency improvement of logistics industry in the Yangtze River Economic Belt.