In recent years,along with rising global temperatures and depleted resources,reducing emissions,pollution and energy conservation has become a new development concept.In the context of double carbon,the logistics industry as a high consumption and high emission industry has become an important target for carbon neutrality and carbon peaking.The economy,as the main support force for the logistics industry’s transition to green,can promote energy saving and carbon reduction in the logistics industry by promoting the efficient allocation of information elements within the logistics industry and the sharing of low-carbon information resources,which provides a new way to promote green management and enhance the green transition of the logistics industry in various provinces and municipalities.Based on theories related to green logistics and regional economic growth,this paper takes the panel data of 30 provinces and cities in China from 2011 to 2020 as the sample.Firstly,the super-efficient SBM model with non-expected output measures the green transformation index of the logistics industry and examines the influencing factors of the regional economy through factor analysis;secondly,the spatial autocorrelation of the green transformation index of the logistics industry is analyzed by using the Moran index,while By analyzing the results of LM test,robustness LM test,LR test,Wald test and Hausman test to obtain the spatial Durbin model should be established to analyze the impact of green transformation of logistics industry on regional economy from spatial perspective;finally,based on the results of empirical analysis,with reference to the green transformation of logistics industry and the current situation of regional economy in China,relevant policy suggestions are put forward to promote the green transformation of logistics industry for China’s regional economic.The results of the empirical analysis are used as a reference for the green transformation of the logistics industry to promote regional economic growth in China.The study found that:(1)China’s overall logistics industry green transformation index is low,and the green transformation index of the logistics industry shows an upward trend from 2011 to 2020;from a regional perspective,the average value of the green transformation index of the logistics industry as a whole is highest in the eastern region,followed by the central region and lowest in the western region,and the national logistics industry green transformation index shows a spatial distribution pattern of "east > west > central".(2)The global Moran value of the green transformation index of the logistics industry shows a declining and then rising trend,reflecting the obvious spatial correlation of the green transformation index of the logistics industry in China and the aggregation phenomenon of spatial distribution.(3)From the perspective of period and stage,the impact of green transformation of logistics industry on regional economy shows a "U-shaped curve";from the overall perspective,green transformation of logistics industry has a significant spatial spillover effect on regional economy,local fiscal revenue,degree of openness and per capita disposable income of residents play a role in promoting regional economy,while the degree of industrial structure plays a suppressing role on The degree of industrial structure plays a suppressive role in regional economic development;the three regions of east,central and west show different spatial heterogeneity.This paper studies the impact of the green transformation of the logistics industry on the regional economy through a combination of qualitative and quantitative analysis,which can strengthen the efficiency of the interaction between the logistics industry and the regional economy and provide a reference for achieving a rational allocation among resource factors. |