Research on spatial correlation network structure and influencing factors of green logistics efficiency in western land and sea new corridor

Under the background of “dual-carbon”, the low-carbon transformation of logistics industry has become an inevitable trend. Based on the data of 35 cities along the western land and sea new corridor from 2010 to 2021, non-expected outputs are incorporated into the efficiency evaluation index system, and the super-efficiency SBM model is adopted to measure the efficiency of the logistics industry, and the modified gravitational model, social network analysis and QAP model are used to explore the spatial correlation network structure of green logistics efficiency and the influencing factors. The modified gravity model, social network analysis and QAP model are used to explore the spatial network structure and influencing factors of green logistics efficiency in the western land and sea corridor. The results of the study show that the overall green logistics efficiency value of the western land and sea new corridor shows a slow growth trend, with the average value increasing from 0.56 in 2010 to 0.82 in 2021, but the spatial individual differences are large and unevenly distributed. The spatial correlation network of green logistics efficiency of the new western land and sea corridor has a good overall robustness, simple structure but loose connection, and there is an obvious “Matthew effect” on the individual, with obvious boundaries between the core and the edge cities. In terms of influencing factors, geographic location has a significant positive influence on the spatial correlation network, and differences in the level of opening up to the outside world, differences in industrial structure and differences in scientific and technological level have a significant negative influence on the formation of the spatial correlation network.