Logistics Efficiency Analysis of Dalian Port in China Considering Environmental Factors and Random Errors

Abstract

Dalian port is an important comprehensive port of the old industrial base in northeast China and even the coastal ports in China. To further improve the logistics efficiency of Dalian port is of great significance to the hinterland city and the country's economy and politics. This paper sorted out the panel data of Dalian port from 2008 to 2017, constructed the DEA model input and output index system with PCA, and studied the logistics efficiency of Dalian port with the three-stage DEA model that eliminated environmental factors and random errors. Meanwhile, Tobit regression model is established to analyze the actual influence of various factors on port logistics efficiency. The research shows that the logistics efficiency of Dalian port in recent years is good and has good development potential. But the data show that the low efficiency of scale leads to the low comprehensive efficiency of port to a large extent. Therefore, Dalian port should reasonably expand the port scale according to the actual situation of investment, and avoid the low efficiency of pure technology caused by the low efficiency of internal management and unreasonable adjustment of industrial structure, so as to realize the optimal utilization of port resources.