Evolution characteristics and convergence analysis of carbon emission efficiency of provincial logistics in China
30 provinces in China from 2006 to 2019 were studied,the Super-efficiency DEA-ML model and global spatial autocorrelation analysis method were combined to re-measure the actual logistics carbon emission efficiency and its overall characteristics in China,which based on the new assessment criteria for carbon emissions.The exploratory space-time data analysis method and related measurement models were further introduced to explore the space-time dy-namic evolution characteristics of logistics carbon emission efficiency and its impact on conver-gence.The results suggest that:①The efficiency of logistics carbon emissions is at a medium level in China and exists spatial agglomeration.The average is high in the east and low in the west.Increasing returns to scale exists in most provinces.Interannual variation shows a dynam-ic growth trend,and is greatly influenced by technological progress.② The local spatial struc-ture of logistics carbon emission efficiency differs from the direction of spatial dependence,The logistics carbon emission efficiency presents strong spatial integration among neighboring prov-inces,and has transfer inertia and path locking during dynamic evolution.③Logistics carbon emission efficiency has no σ convergence and has β convergence and club convergence.Region-al differences,logistics agglomeration level and degree of informatization are the main influenc-ing factors of conditional β convergence,there is significant club convergence in areas with more tortuous temporal and spatial evolution of logistics carbon emission efficiency.
logistics carbon emission efficiencyspatiotemporal evolutionconvergence analy-sisexploratory space-time data analysis
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