Carbon emissions trading scheme, energy efficiency and rebound effect - Evidence from China's provincial data

被引:138
|
作者
Chen, Zhe [1 ]
Song, Pei [2 ]
Wang, Baolu [3 ]
机构
[1] Nanjing Univ, Sch Econ, Nanjing 210093, Peoples R China
[2] Nankai Univ, Sch Econ, Tianjin 300073, Peoples R China
[3] Dalian Univ Technol, Sch Management & Econ, Dalian 116023, Peoples R China
关键词
Carbon ETS; Energy efficiency; Technological innovation; Marketization level; Rebound effect; SLACKS-BASED MEASURE; ENVIRONMENTAL-REGULATION; EMPIRICAL-EVIDENCE; CONSUMPTION; PERFORMANCE; INTENSITY;
D O I
10.1016/j.enpol.2021.112507
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper uses the carbon emissions trading pilot study of 2013 as a quasi-natural experiment, combined with panel data of 30 provinces and cities in China during 2000-2017, and applies the difference-in-difference (DID) model to investigate the specific impact and mechanism of the carbon emissions trading scheme (ETS) on energy efficiency. The results, which and passed a series of robustness tests, showed that the carbon ETS can significantly improve single-factor energy efficiency and total-factor energy efficiency. The effect mechanism test showed that the carbon ETS can improve energy efficiency by promoting technological innovation of enterprises, and that the marketization level enhanced the carbon ETS's promotion of energy efficiency. Furthermore, this study measures the energy rebound effect at the macro level in China. The results showed that the average energy rebound effect in China is 79.94%. Once the carbon emission trading pilot work was officially launched, the energy rebound effect of the pilot provinces was significantly higher than that of the non-pilot provinces, and the energy conservation effect of the carbon ETS did not function as expected. The research conclusions of this paper provide empirical evidence and policy inspiration for China to improve energy efficiency and accelerate the process of energy conservation.
引用
收藏
页数:11
相关论文
共 50 条
  • [41] Is Technological Innovation Effective for Energy Saving and Carbon Emissions Reduction? Evidence From China
    Zhang, Meili
    Li, Baizhou
    Yin, Shi
    IEEE ACCESS, 2020, 8 : 83524 - 83537
  • [42] Energy efficiency and China’s carbon emissions: evidence from non-parametric approaches
    Rong Zhou
    Li Zheng
    Liu Li
    Najaf Iqbal
    Zeeshan Fareed
    Energy Efficiency, 2023, 16
  • [43] Rebound effect of energy efficiency in China's construction industry: a general equilibrium analysis
    Du, Qiang
    Li, Zhe
    Li, Yi
    Bai, Libiao
    Li, Jingtao
    Han, Xiao
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2019, 26 (12) : 12217 - 12226
  • [44] How does carbon emissions trading affect China's energy intensity?
    Zha, Donglan
    Xu, Ting
    Wang, Mei
    JOURNAL OF THE ASIA PACIFIC ECONOMY, 2024,
  • [45] The effect of energy patents on China's carbon emissions: Evidence from the STIRPAT model
    Huang, Junbing
    Li, Xinghao
    Wang, Yajun
    Lei, Hongyan
    TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2021, 173
  • [46] Incentives for energy efficiency in the EU Emissions Trading Scheme
    Joachim Schleich
    Karoline Rogge
    Regina Betz
    Energy Efficiency, 2009, 2 : 37 - 67
  • [47] Does artificial intelligence improve energy efficiency? Evidence from provincial data in China
    Li, Xin
    Li, Shiyuan
    Cao, Jifeng
    Spulbar, Andrei Cristian
    ENERGY ECONOMICS, 2025, 142
  • [48] Incentives for energy efficiency in the EU Emissions Trading Scheme
    Schleich, Joachim
    Rogge, Karoline
    Betz, Regina
    ENERGY EFFICIENCY, 2009, 2 (01) : 37 - 67
  • [49] CCUS technology, digital economy, and carbon emission efficiency: Evidence from China's provincial panel data
    Zhang, Lu
    Jiang, Luwei
    Zhang, Feng
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (36) : 86395 - 86411
  • [50] The impact of carbon emission trading policy on energy efficiency-evidence from China
    Xie, Yunyan
    Guo, Yifan
    Zhao, Xing
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (48) : 105986 - 105998