China can peak its energy-related CO2 emissions before 2030: Evidence from driving factors

被引:4
|
作者
Chen, Weidong [1 ]
Han, Mingzhe [1 ]
Bi, Jingyi [1 ]
Meng, Yue [1 ]
机构
[1] Tianjin Univ, Coll Management & Econ, Tianjin 300072, Peoples R China
关键词
CO 2 emissions peak; Driving factors; Energy structure; Time series forecasting; Monte Carlo method; CARBON EMISSIONS; DECOMPOSITION; ACHIEVE; GROWTH; REDUCTION; IMPACT;
D O I
10.1016/j.jclepro.2023.139584
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
China has pledged to achieve the CO2 emissions peak by 2030. This study aims to ascertain whether China can meet its commitment by predicting CO2 emissions. Based on industrial structure, energy structure, and energy intensity data forecasted by appropriate time series models, this study uses the Monte Carlo method to simulate the pathway of GDP growth rates and predict the trajectory of China's CO2 emissions from 2021 to 2035. The results reveal a 43.60% probability that China's CO2 emissions have peaked at 10.55 Gt in 2021. Furthermore, it is highly probable that China will achieve its CO2 emissions peak between 2023 and 2028. As the peak year shifts from 2023 to 2028, the mean value of CO2 emissions peak increases from 10.56 Gt to 10.71 Gt. Finally, the study employs the LMDI method to analyze the contributions of different driving factors to the CO2 emissions peak. The results indicate that energy structure transformation will be the primary factor driving the CO2 emissions peak, demonstrating the importance of transiting to a low-carbon energy system.
引用
下载
收藏
页数:14
相关论文
共 50 条
  • [1] China can peak its energy-related carbon emissions before 2025: Evidence from industry restructuring
    Yu, Shiwei
    Zheng, Shuhong
    Li, Xia
    Li, Longxi
    ENERGY ECONOMICS, 2018, 73 : 91 - 107
  • [2] Can China achieve its CO2 emissions peak by 2030?
    Li, Feifei
    Xu, Zhe
    Ma, Hui
    ECOLOGICAL INDICATORS, 2018, 84 : 337 - 344
  • [3] Analysis of energy-related CO2 emissions and driving factors in five major energy consumption sectors in China
    Cui, Erqian
    Ren, Lijun
    Sun, Haoyu
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2016, 23 (19) : 19667 - 19674
  • [4] Analysis of energy-related CO2 emissions and driving factors in five major energy consumption sectors in China
    Erqian Cui
    Lijun Ren
    Haoyu Sun
    Environmental Science and Pollution Research, 2016, 23 : 19667 - 19674
  • [5] Will China peak its energy-related carbon emissions by 2030? Lessons from 30 Chinese provinces
    Fang, Kai
    Tang, Yiqi
    Zhang, Qifeng
    Song, Junnian
    Wen, Qi
    Sun, Huaping
    Ji, Chenyang
    Xu, Anqi
    APPLIED ENERGY, 2019, 255
  • [6] Analysis of energy-related CO2 emissions in China's pharmaceutical industry and its driving forces
    Gao, Ziyan
    Geng, Yong
    Wu, Rui
    Chen, Wei
    Wu, Fei
    Tian, Xu
    JOURNAL OF CLEANER PRODUCTION, 2019, 223 : 94 - 108
  • [7] Influencing Factors of Energy-Related CO2 Emissions in China: A Decomposition Analysis
    Wang, Guokui
    Chen, Xingpeng
    Zhang, Zilong
    Niu, Chaolan
    SUSTAINABILITY, 2015, 7 (10) : 14408 - 14426
  • [8] Analysis influence factors and forecast energy-related CO2 emissions: evidence from Hebei
    Wei Sun
    Junjian Zhang
    Environmental Monitoring and Assessment, 2020, 192
  • [9] Exploring driving factors of energy-related CO2 emissions in Chinese provinces: A case of Liaoning
    Geng, Yong
    Zhao, Hongyan
    Liu, Zhu
    Xue, Bing
    Fujita, Tsuyoshi
    Xi, Fengming
    ENERGY POLICY, 2013, 60 : 820 - 826
  • [10] An analysis of the driving factors of energy-related CO2 emission reduction in China from 2005 to 2013
    Qi, Tianyu
    Weng, Yuyan
    Zhang, Xiliang
    He, Jiankun
    ENERGY ECONOMICS, 2016, 60 : 15 - 22