市场化
空间异质性
高效能源利用
能源消耗
开放的体验
能量强度
中国
计量经济学
驱动因素
样品(材料)
共同空间格局
自然资源经济学
经济
空间生态学
节能
空间相关性
环境科学
经济地理学
地理
统计
生态学
数学
考古
生物
社会心理学
色谱法
化学
心理学
作者
Yan Zhang,Wei Wang,Lina Liang,Daoping Wang,Xianghe Cui,Wendong Wei
标识
DOI:10.1016/j.scitotenv.2020.140197
摘要
Improving energy efficiency and building a low-carbon economy are the important ways to resolve the current contradiction between economic growth and the environment in China. In this paper, we use the super-efficiency Slack-Based Measure model (super-efficiency SBM model) to measure the energy efficiency of 30 provinces in China, and then conduct Empirical Orthogonal Function (EOF) to analyze its spatial-temporal evolution. Moreover, we use the Geographically and Temporally Weighted Regression (GTWR) to analyze the spatial-temporal heterogeneity of its driving factors. The results show that: (i) during the sample period, China's energy efficiency shows a rapidly upward trend, accompanied by the gradually strengthening spatial pattern of the “eastern>central>western”; (ii) the spatial pattern of the “southern>northern” exhibited by the annual growth rate of energy efficiency experienced a process of weakening first and then gradually strengthening; (iii) the influencing effects of market openness, relative energy price and industry structure on energy efficiency have no significant heterogeneity as a whole; (iv) the effects of environmental regulation intensity, the marketization level, the technical level, energy consumption structure and economic development level have significant spatial heterogeneity, and the effects of energy conservation and emission reduction policies has significant temporal heterogeneity.
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