Abstract: Abstract：Research divided 30 provinces and cities in China into eight regions. Based on the 2007-2017 interprovincial logistics industry panel data, a three-stage Super-SBM model and Malmquist index model were constructed to calculate the green total factor productivity of the logistics industry. ESDA and spatial convergence models were used to analyze the spatial and temporal differences and spatial convergence. The results show that: (1) After removing the constraints of management inefficiency and external environmental factors, the national average value of GTFP decreases to 0.985. In the southern coastal, northern coastal, northwest and eastern coastal areas increases, the GTFP indexes are increasing. In the middle reaches of the Yangtze river, northeast, southwest and the middle reaches of the Yellow River, the GTFP indexes are decreasing.(2) In terms of time difference, the GTFP index is divided into three periods. The GTFP index of 2007-2012 is greater than 1, the GTFP index of 2012-2014 is less than 1, the GTFP index of 2014-2017 is greater than 1.(3) The spatial autocorrelation is gradually strengthened. The northeast, northern coastal, the middle reaches of the Yellow River, the middle reaches of the Yangtze river and southwest regions show positive spatial pull effect. Beijing, Tianjin and Shandong have always been the core drive high green total factor productivity provinces. The development of logistics industry in China is not balanced, the development of different regions varies greatly, and the phenomenon of polarization is serious.(4) The GTFP level of China’s logistics industry presents “M” type fluctuation, and tends to converge finally. Eight regions can be divided into two categories. The northern coastal, the eastern coastal, the southern coastal and the middle reaches of the Yangtze river regions tend to converge. The middle reaches of the Yellow River, northeast, southwest and northwest regions tend to diverge.