Heterogeneous Effects of China's Carbon Market on Carbon Emissions-Evidence from a Regression Control Method

被引:1
|
作者
Liu, Feng [1 ]
Fu, Yu [2 ]
Wang, Weiguo [2 ]
机构
[1] Shanghai Acad Social Sci, Inst Econ, Shanghai 200020, Peoples R China
[2] Dongbei Univ Finance & Econ, Sch Econ, Dalian 116025, Peoples R China
基金
中国国家自然科学基金;
关键词
carbon market; carbon trading pilots; carbon emissions; regression control method; heterogeneous effects; counterfactual analysis; CONSTRUCTION;
D O I
10.3390/su16010089
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Carbon trading markets are crucial policy instruments in carbon emission reduction and carbon neutrality. Yet, China's pilot programs encounter diverse operational modes and environmental factors that might impact their effectiveness. This study uses panel data from 30 provinces (2000-2019) in China and the regression control method to evaluate and analyze the heterogeneous effects of carbon trading pilots (CTPs) on emission reduction. Results reveal three types of CTP effects which are as follows: reducing both total carbon emissions (TCEs) and carbon intensity (CI) as noticed in Shanghai; decreasing CI while increasing TCE as seen in Beijing, Tianjin, Guangdong, and Hubei; and raising both TCE and CI as observed in Chongqing and Fujian. Significantly, market mechanisms in carbon pricing and state intervention, including of state-owned enterprises, play notable roles in these effects. Furthermore, CTP policies display both intensity reduction and energy rebound effects; the direction of carbon emission reduction relies on the balance between these effects. The findings offer empirical support to enhance carbon market effectiveness and provide valuable insights for regions in China and globally in order to tailor policies based on their specific conditions.
引用
收藏
页数:20
相关论文
共 50 条
  • [31] The Effects of Clean Energy Development on China's Carbon Dioxide Emissions Control
    Wu, Enbang
    Guo, Zheng
    2018 THE 6TH IEEE INTERNATIONAL CONFERENCE ON SMART ENERGY GRID ENGINEERING (SEGE 2018), 2018, : 20 - 24
  • [32] Does China's carbon emission trading reduce carbon emissions? Evidence from listed firms
    Shen, Jun
    Tang, Pengcheng
    Zeng, Hao
    ENERGY FOR SUSTAINABLE DEVELOPMENT, 2020, 59 : 120 - 129
  • [33] Heterogeneous impacts of multi-energy power generation on carbon emissions: evidence from China's provincial data
    Yang, Xiaoyu
    Guo, Xiaopeng
    Li, Yun
    Yang, Kun
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (12) : 35334 - 35351
  • [34] Heterogeneous impacts of multi-energy power generation on carbon emissions: evidence from China’s provincial data
    Xiaoyu Yang
    Xiaopeng Guo
    Yun Li
    Kun Yang
    Environmental Science and Pollution Research, 2023, 30 : 35334 - 35351
  • [35] The responsibility for carbon emissions and carbon efficiency at the sectoral level: Evidence from China
    Zhang, Youguo
    ENERGY ECONOMICS, 2013, 40 : 967 - 975
  • [36] Political incentives in market-based environmental regulation: Evidence from China's carbon emissions trading scheme
    Bai, Jiafei
    Ma, Wentao
    Wang, Yuxin
    Jiang, Jiayue
    HELIYON, 2024, 10 (04)
  • [37] Effects of technological changes on China's carbon emissions
    Chen, Jiandong
    Gao, Ming
    Mangla, Sachin Kumar
    Song, Malin
    Wen, Jie
    TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2020, 153
  • [38] The carbon reduction puzzle in stock market: Evidence from China's "Dual-Carbon Target"
    You, Mingyuan
    Liu, Peizhi
    APPLIED ECONOMICS LETTERS, 2024, 31 (19) : 2034 - 2041
  • [39] The Effect of Air Pollution Control Auditing on Reducing Carbon Emissions: Evidence from China
    Zhao, Chen
    Zhu, Jiaxuan
    Xu, Zhiyao
    Wang, Yixuan
    Liu, Bin
    Yuan, Lu
    Wang, Xiaowen
    Xiong, Jiali
    Zhao, Yiming
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (24)
  • [40] Can command-and-control regulation reduce carbon emissions? Evidence from China
    Wei, Ouyang
    Zhou, Yang
    Wang, Yan
    ENVIRONMENTAL IMPACT ASSESSMENT REVIEW, 2025, 112