Spatiotemporal Evolution of Carbon Emission Efficiency in China's Logistics Industry in Context of Carbon Peaking
The proposal of the carbon peaking goal marks a solid step in China's attempt at tackling global climate change and promoting sustainable development.To achieve this goal,the logistics industry,as one of the main sources of energy consumption and carbon emissions in China,must abandon the extensive devel-opment mode in the past,and adopt a greener and more efficient development path to improve the carbon efficiency and competitiveness of the logistics industry as a whole.To further analyze the performance and spatial correlation of the carbon emission efficiency of the logistics industry in different regions of China,we adopted the super-efficiency SBM model based on non-expected output to calculate the carbon emission efficiency of the logistics industry in 30 provinces/cities of China from 2015 to 2020,and more accurately evaluated the carbon emission performance and carbon peaking progress of the logistics industry in each region.In addition,we used the Moran Index and spatial Durbin model to deeply explore the spatial correlation among the provinces/cities in terms of logistics carbon emission efficiency.Therein,the Moran index re-vealed the similarities or differences of the carbon emission efficiency of the logistics industry across the re-gions,and the spatial Durbin model further analyzed the factors behind the spatial correlation,providing powerful support for understanding the spatial distribution of carbon emission efficiency of the logistics in-dustry in China.The research results show that the carbon emission efficiency of the logistics industry in 30 provinces/cit-ies of China displays significant spatial correlation,showing certain spatial conglomeration pattern.Specifical-ly,the carbon emission efficiency of the logistics industry in the eastern region is higher than that in the west-ern region,the southern region higher than the northern region,and the central region performs the best in this respect.This spatial distribution may be related to the number of employees,economic level,infrastruc-ture construction,and energy consumption structure in each region.On the temporal dimension,in recent years,the carbon emission efficiency of the logistics industry in each region of China has generally shown an upward trend,but there is still large gap to cover to reach the ideal level,indicating that each region still faces lots of challenges and difficulties in the process of promoting car-bon peaking.Finally,we put forward a series of suggestions and recommendations to further improve carbon emission efficiency of the logistics industry and achieve the goal of carbon peaking.
logistics industrycarbon emission efficiencycarbon peakingspatiotemporal evolutionSBMspatial Dubin model
万方数据
维普
