The 19th National Congress of the Communist Party of China clearly put forward the need to promote the energy revolution,build a clean,low-carbon,safe and efficient energy system,and realize the core measure and driving force for the development of clean,low-carbon and efficient energy is to improve energy efficiency,which is an important starting point for high-quality economic growth,environmental pollution control and energy security.To formulate a scientific and reasonable energy efficiency improvement policy,the first task is to find out the "household" of energy efficiency.Only on the basis of clarifying the current status of China’s energy efficiency,basic characteristics and regional change trends,can we propose a strategy that meets my country’s national conditions,regional characteristics and emission reduction policies.The article characterizes energy efficiency with total factor energy efficiency,and analyzes its dynamic distribution characteristics,regional differences,spatial differences and convergence.First,the super-efficiency SBM model is selected to measure the total factor energy efficiency,and on this basis,the kernel density estimation is used to analyze its dynamic distribution characteristics to describe the evolution of absolute spatial differences,and the Gini coefficient measurement is used to describe the relative spatial differences,and then further construct Spatial absolute β convergence and spatial condition β convergence models are used to explore the spatial convergence of total factor energy efficiency.The results show that the overall national total factor energy efficiency shows a slow downward trend;the spatial distribution presents the characteristics of "high coastal areas and low inland areas";from the perspective of absolute differences,the overall national total factor energy efficiency shows"double peaks-single peaks".The characteristics of "tailing to the right" and“increasing wave height" show a slight decrease in the overall absolute difference;the polarization phenomenon in the northern coastal and southwestern regions is the most serious,with the largest intra-regional differences;from the perspective of spatial convergence,the national overall and The total factor energy efficiency of the eight regions all show a spatial β convergence trend;the spatial conditional convergence rate is higher than the absolute convergence rate;the spatial convergence rate is significantly higher than the classical convergence rate;the region with the fastest regional convergence rate is the Northeast,and the slowest is the north Coastal areas. |