以中国2000-2012年29个省城能源数据为样本,通过Moran’s I指数,发现中国省域能源效率变化存在集聚与空间差异格局两种情况;Kernel密度估计结果表明中国省城能源效率差距不断加大、高低能源效率俱乐部之间的差距趋于深化;从中国省域能源效率分布影响因素的空间计量估计结果可知,产业结构、经济发展水平、技术水平、平均气温对中国省域能源效率存在正向推动作用,资源禀赋水平、政府干预度与中国省域能源效率间存在负相关关系,市场化水平、对外开放程度、能源价格对中国省域能源效率的促进作用并不明显。
Based on Chinese 29 provincial energy data from 2000 to 2012, this paper analyzes convergence and spatiat variation trend of Chinese provincial energy efficiency, and found that there are agglomeration pattern and spatial difference of Chinese provincial energy efficiency. Kernel density estimation results show that from the dynamic time perspective, the gap of Chinese provincial energy efficiency has been deepening, the club disparity of high energy efficiency and low en ergy efficiency enlarges unceasingly; and from the space dynamic perspective, there is significant effect of energy effi ciency of Chinese neighboring provinces, the level of energy efficiency of Chinese adjacent arez tends to narrow, thus it constitutes spatially adjacent convergence club. From space econometric estimation results of the influential factors of do main distribution of energy efficiency, industrial structure, economic development level, technical level and the provin cial average temperature has a positive role in promoting the provincial energy efficiency; resource level, government in tervention existed negative correlation between provincial energy efficiency; and the promoting role of the institutional factor, openness, energy price in provincial energy efficiency is not obvious.