文献类型：会议论文

英文题名：The Hierarchy and Transition of China's Urban Energy Efficiency

作者：Li, Jinkai[1];Gong, Liutang[2];Chen, Zhenling[3];Zeng, Lei[4];Yang, Guoliang[5];Zhang, Jin[6]

第一作者：Li, Jinkai

通讯作者：Chen, ZL[1];Zhang, J[2]

机构：[1]Sias Int Univ, Sch Business, Xinzheng 451150, Peoples R China;[2]Peking Univ, Guanghua Sch Management, Beijing 100190, Peoples R China;[3]Henan Univ Econ & Law, Coll Econ, Zhengzhou 450046, Peoples R China;[4]CLASP, Beijing 100190, Peoples R China;[5]Chinese Acad Sci, Inst Policy & Management, Beijing 100190, Peoples R China;[6]Henan Normal Univ, Xinlian Coll, Zhengzhou 450046, Peoples R China

第一机构：Sias Int Univ, Sch Business, Xinzheng 451150, Peoples R China

通讯机构：[1]corresponding author), Henan Univ Econ & Law, Coll Econ, Zhengzhou 450046, Peoples R China;[2]corresponding author), Henan Normal Univ, Xinlian Coll, Zhengzhou 450046, Peoples R China.|[1048422]河南财经政法大学经济学院;[10484]河南财经政法大学;

会议论文集：Applied Energy Symposium and Summit - Low-Carbon Cities and Urban Energy Systems (CUE)

会议日期：JUN 13-15, 2016

会议地点：Jinan Assoc Sci & Technol, Jinan, PEOPLES R CHINA

主办单位：Jinan Assoc Sci & Technol

语种：英文

外文关键词：Urban energy efficiency; Multi-level frontiers; Data envelopment analysis (DEA); Undesirable outputs

摘要：Urban energy efficiency has attracted lots of interests by city governors and researchers. Each city planner eagers to find effective ways to make city cleaner and more energy-efficient. The general approach of self-development is to learn from a model city or benchmark city. Thus, researchers are faced with the challenges of providing methods to identify such benchmark cities and paths to make improvement. This paper focused on urban energy efficiency hierarchy identification and level transition analysis by suggesting a novel application of multi-level frontiers DEA technique, using 49 China's environmental protection model cities data as example. Considering undesirable outputs such as PM2.5 and SO2, this paper evaluates urban energy efficiency first. Accordingly, a four-grade city energy efficiency structure can be recognized. The outcome of multi-level frontiers DEA analysis has also uncovered energy efficiency improvement chain of each city in different hierarchy. By constructing a set of four Ordered Probit Models at the end, this paper indicates that such hierarchy attributes to several influential factors such as population and energy technology. Through the analysis of this paper, the detection of rich details of underlying urban energy efficiency would be the basal step toward energy-efficient city research. Moreover, this framework for efficiency hierarchy and transition analysis or its extension can be applied to other data sets or other efficiency research in future. (C) 2016 The Authors. Published by Elsevier Ltd.