When will China's carbon emissions peak? Evidence from judgment criteria and emissions reduction paths

被引:0
|
作者
Wu, Ya [1 ,2 ]
Xu, Bin [1 ]
机构
[1] Jinan Univ, Coll Econ, Guangzhou, Peoples R China
[2] Jinan Univ, Inst Resources Environm & Sustainable Dev, Guangzhou, Peoples R China
基金
中国国家自然科学基金;
关键词
Carbon emissions peak; Decoupling; Kaya model; Policy tool;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Scientifically judging the current state of carbon emissions in China and each province is a logical starting point for judging whether carbon emissions will peak or not by 2030. Using the Tapio decoupling model, this paper examines the carbon emissions peaking states of 30 provinces in China. The results show that carbon emissions in seven provinces including Beijing, Tianjin, Shanghai, Jilin, Chongqing, Sichuan, and Heilongjiang have peaked; nine provinces including Zhejiang, Henan, Shaanxi, Hubei, Guizhou, Yunnan, Jiangsu, Hunan, and Qinghai have pseudo-peaks, that is, although carbon emissions have reached a peak for the moment, they may peak again in the future; carbon emissions in other provinces have not peaked. Further, this paper finds that the current emission reduction efforts are not enough to support the realization of the 2030 carbon emissions peaking goal through the Kaya model prediction. Among the provinces which have pseudo-peaks, Zhejiang, Guizhou, Shaanxi, and Jiangsu are more difficult to achieve peaking, while Henan, Hubei, Yunnan, and Qinghai perform better under the enhanced low-carbon scenario. Ningxia, Xinjiang, and Inner Mongolia are unlikely to reach their peaks in 2030 under any pre-set scenario.(C) 2022 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:8722 / 8735
页数:14
相关论文
共 50 条
  • [41] Characteristics and transfer paths of CO2 emissions embodied in trade and China's carbon reduction strategies
    Chen, Jingjing
    Lin, Xinru
    Wang, Xiaojun
    Peng, Lihong
    Yu, Ang
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (20) : 58077 - 58089
  • [42] Characteristics and transfer paths of CO2 emissions embodied in trade and China’s carbon reduction strategies
    Jingjing Chen
    Xinru Lin
    Xiaojun Wang
    Lihong Peng
    Ang Yu
    Environmental Science and Pollution Research, 2023, 30 : 58077 - 58089
  • [43] China's pathways to peak carbon emissions: New insights from various industrial sectors
    Fang, Kai
    Li, Chenglin
    Tang, Yiqi
    He, Jianjian
    Song, Junnian
    APPLIED ENERGY, 2022, 306
  • [44] Assessing the carbon emissions from fertilizer use reduction in China
    Zou, Jin-Lang
    Liu, Tao-Hong
    Yao, Guan-Rong
    Xu, Long
    Zhongguo Huanjing Kexue/China Environmental Science, 2024, 44 (01): : 438 - 448
  • [45] Dynamic Scenario Predictions of Peak Carbon Emissions in China's Construction Industry
    Wang, Xilian
    Qu, Lihang
    Wang, Yueying
    Xie, Helin
    SUSTAINABILITY, 2023, 15 (07)
  • [46] How to peak carbon emissions in China's power sector: A regional perspective
    Tang, Baojun
    Li, Ru
    Yu, Biying
    An, Runying
    Wei, Yi-Ming
    ENERGY POLICY, 2018, 120 : 365 - 381
  • [47] China's mandarin and tangerine cultivation has not reached the carbon emissions peak
    Liu, Jialiang
    Zhang, Jingyu
    Li, Yingchun
    Zong, Shixiang
    Ma, Fen
    Zhao, Bohan
    MITIGATION AND ADAPTATION STRATEGIES FOR GLOBAL CHANGE, 2024, 29 (05)
  • [48] Research on the Spatial Pattern of Carbon Emissions and Differentiated Peak Paths at the County Level in Shandong Province, China
    Han, Xinyu
    Qu, Peng
    Wu, Jiaqi
    Su, Beile
    Qiu, Ning
    Zhang, Lili
    SUSTAINABILITY, 2023, 15 (18)
  • [49] The impact of carbon emissions trading on energy efficiency: Evidence from quasi-experiment in China?s carbon emissions trading pilot
    Hong, Qianqian
    Cui, Linhao
    Hong, Penghui
    ENERGY ECONOMICS, 2022, 110
  • [50] Carbon Communities and Hotspots for Carbon Emissions Reduction in China
    Huang, Li
    Kelly, Scott
    Lu, Xuan
    Lv, Kangjuan
    Shi, Xunpeng
    Giurco, Damien
    SUSTAINABILITY, 2019, 11 (19)