Abstract:Focusing on the spatial relationship between regional logistics energy efficiency, this paper takes 30 provinces as the object, considers the logistics energy efficiency under the carbon constraint from the perspective of total factors, links logistics carbon emissions with logistics capital, energy consumption and labor, and uses the panel data from 2005 to 2019 to measure the energy efficiency using the Super-SBM model. From the perspective of global spatial correlation, social network analysis was used to analyze the spatio-temporal correlation evolution characteristics of energy efficiency, and a secondary assignment program model was constructed to empirically explore its influencing factors. The results show that the overall structure of logistics energy efficiency network in 30 provinces is basically stable, and good accessibility has been formed among provinces. From 2005 to 2019, the logistics energy efficiency network fluctuates between 0.648 and 0.717, and the network level decreases from 0.475 in 2005 to 0.437 in 2019. Beijing, Shanghai, Jiangsu, Tianjin and Zhejiang are in the center of the network and play a leading role. The overall spatial network can be divided into four functional areas: two-way spillover block, net benefits block, net spillovers block and brokers block. Most of the provinces located in remote areas play the role of net spillovers block. Economic development, urbanization rate, investment in scientific research and environmental construction are positively correlated with the spatial correlation of logistics energy efficiency, while the industrial structure has little effect on the spatial correlation. Based on the research conclusions, the paper puts forward some policy suggestions, such as vigorously developing low-carbon economy, giving full play to the radiating role of capital and technology in developed regions, and strengthening the coordinated management of logistics energy efficiency between regions.