中国城市能源效率差异及其影响因素的异质性效应——基于分位数回归的实证分析  

Analysis of heterogeneous effects of energy efficiency and the influencing factors in Chinese cities:An empirical study based on quantile regression

作　　者：张慧 范丽伟 孙秀梅[1] ZHANG Hui;FAN Li-wei;SUN Xiu-mei

机构地区：[1]山东理工大学管理学院 [2]中国石油大学(华东)经济管理学院

出　　处：《城市问题》2022年第8期12-23,共12页Urban Problems

基　　金：国家社会科学基金项目(19BGL276)——“多维协同视角下资源型城市绿色低碳转型的新动能培育机制研究”。

摘　　要：采用随机前沿分析方法对2006—2017年中国188个地级市的能源利用效率进行测算,利用分位数回归模型探究效率差异视角下城市能源效率的影响因素。结果表明,研究期间城市能源效率的平均水平略有下降。其中,长三角城市群和珠三角城市群的能源效率高于全国平均水平,京津冀城市群的能源效率低于全国平均水平。能源效率影响因素的分位数回归结果显示,产业结构、城镇化水平和科技支出阻碍了城市能源效率提升,经济水平和对外开放促进了城市能源效率提升。各因素对能源效率的影响程度表现出明显的分位异质性,且不同因素对能源效率变化的边际贡献随着分位数的提高而不同程度地降低。This study calculated energy efficiency of 188 Chinese cities in 2006-2017 using stochastic frontier analysis, and then identified main drivers of energy efficiency based on quantile regression from the perspective of efficiency disparity. The empirical results showed that the national energy efficiency presented a slight decreasing trend. Energy efficiency in the Yangtze River and Pearl River Delta was higher than that of the national average, whereas that in Beijing-Tianjin-Hebei Region was lower than the national average. In addition, the quantile regression results of influencing factors of energy efficiency showed that industrial structure, urbanization level and spending on research and development inhibited energy efficiency improvement, while economic development and trade openness enhanced energy efficiency. Moreover, influencing factors presented significant heterogenous effect on energy efficiency, and the marginal contribution of different factors to energy efficiency decreased to different degrees with the quantile increasing.

关 键 词：能源效率 影响因素 随机前沿分析 分位数回归 

分 类 号：F206[经济管理—国民经济] F299.2