文献类型：期刊文献

英文题名：Urban Residential Energy Demand and Rebound Effect in China: A Stochastic Energy Demand Frontier Approach

作者：Du, Kerui[1];Shao, Shuai[2];Yan, Zheming[3]

机构：[1]Xiamen Univ, China Inst Studies Energy Policy, Sch Management, Xiamen 361005, Peoples R China;[2]East China Univ Sci & Technol, Sch Business, Shanghai 200237, Peoples R China;[3]Xi An Jiao Tong Univ, Sch Econ & Finance, Xian 710049, Peoples R China

年份：2021

卷号：42

期号：4

起止页码：175

外文期刊名：ENERGY JOURNAL

收录：;WOS:【SSCI(收录号:WOS:000663328900008)，SCI-EXPANDED(收录号:WOS:000663328900008)】；

基金：We thank the editor and three anonymous referees for their helpful comments and suggestions, which led to an improved version of this paper. We also acknowledge the financial support of the National Natural Science Foundation of China (Nos. 71922015, 71773075, and 71603148), the Major Project of National Social Science Foundation of China (Nos. 18ZDA051 and 20ZDA069), the National Top-Notch Young Talent Support Program of China, the Humanities and Social Science Research Project of the Ministry of Education (China) (No. 18YJC790194), and Shanghai Soft Science Research Program (No. 20692103100).

语种：英文

外文关键词：Rebound effect; Energy demand; Energy efficiency; Urban residential sector; Stochastic energy demand frontier model; China

摘要：The energy rebound effect is a potential threat to energy-saving targets based on energy efficiency improvements. This paper employs a stochastic energy demand frontier model to analyze the energy demand and rebound effect in China's urban residential sector. Using a panel data set of 30 Chinese provincial-level regions over the period 2001-2014, for the first time, we investigate the degrees and determinants of China's urban residential energy demand and energy rebound effect. The results show that residents' income level, energy price, temperature deviation, population scale, household size, and district heating system are significant influencing factors of residential energy consumption. Regarding the energy rebound effect, we find that energy price is negatively correlated with the rebound effect, and an inverted U-shaped relationship between residents' income level and rebound-effect size exists. The magnitude of the rebound effect varies across regions, with an average of 65.4%. The main policy implication generated by this study is that it should be in urgent need of energy pricing reform to mitigate the rebound effect in China.