Spatio-temporal Evolution and Spatial Correlation Network Structure of Green Resilience of Logistics Industry in China
;This paper constructs a green resilience evaluation index system for logistics industry based on the DPSIR model,and measures the green resilience level of the logistics industry in 30 provinces(municipalities and autonomous regions)in China from 2004 to 2021 using the entropy weights method,and analyses its temporal and spatial evolution characteristics.On this ba-sis,this paper investigates the characteristics of the spatial correlation network structure of green resilience for the logistics in-dustry with the help of the modified gravity model and the social network analysis method.It is found as follows.① From 2004 to 2021,the green resilience level of China s logistics industry showed a slight increase trend,and its spatial distribution from high to low was in eastern region,central region,northeast region and western region.② The overall spatial correlation network of green resilience of logistics industry is relatively connected and accessible,but the network closeness and stability need to be strengthened,and there are strong hierarchical characteristics in the network that need to be optimized.③ Beijing,Tianjin and developed coastal provinces in the southeast not only played the role of"central actor"in the spatial correlation network,but al-so played the role of"intermediary"and"bridge",with northeastern and central-western provinces at the edge.④ In 2021,Bei-jing,Tianjin,Shanghai and Jiangsu constituted the net beneficiary sectors,while Zhejiang,Guangdong and Fujian served as bro-ker sectors,a link between the eastern region and central and southwestern regions,and the sectors dominated by the northeast-ern,central and western provinces were the main body of the green resilience spillover from the logistics industry.
green resilience of logistics industryspatial correlation networksocial network analysisDPSIR model