The effect of the multi-target energy and climate policy on carbon emissions: County-level evidence from China

被引:2
|
作者
Ren, Zhuanzhuan [1 ]
Zheng, Jiali [1 ,2 ]
He, Minna [1 ]
Coffman, D'Maris [2 ,3 ]
Wang, Shouyang [4 ]
机构
[1] Xi An Jiao Tong Univ, Sch Management, Xian 710049, Peoples R China
[2] UCL, Bartlett Sch Sustainable Construction, London WC1E 7HB, England
[3] Tsinghua Univ, Dept Earth Syst Sci, Beijing 100084, Peoples R China
[4] Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
关键词
Carbon emissions; Emission reduction targets; Multi-target policy; Generalized difference-in-differences model; China; CO2; EMISSIONS; INTENSITY; ALLOCATION; DRIVES;
D O I
10.1016/j.energy.2024.130436
中图分类号
O414.1 [热力学];
学科分类号
摘要
The use of command-and-control target policies for climate governance is crucial in achieving China's "dual carbon" goals. We investigate the impact of multi-target policy on county-level carbon emissions, using the generalized difference-in-differences model for the gradual implementation at different phases of multiple policies. We find that the Carbon Intensity Reduction Target (CIRT) and Total Energy Consumption Target (TECT) policies promote carbon reduction, while the Energy Intensity Reduction Target (EIRT) policy has less reliable outcomes. In the eastern and central regions, the initial phase of carbon reduction is primarily propelled by the EIRT policy, subsequently transitioning to the dominant influence of the CIRT policy. In the later phase, carbon reduction in the eastern region is predominantly attributed to the CIRT policy, whereas in the central region, it results from the combined effects of the EIRT, CIRT, and TECT policies. In the western region, early policies have an insignificant impact on carbon reduction, and the later-phase effects shift from being primarily influenced by the EIRT to being predominantly influenced by the CIRT. Additionally, neglecting the impact of other policies with similar targets during the same period may lead to overestimation of the effects of EIRT and TECT and underestimation of the effect of CIRT.
引用
收藏
页数:16
相关论文
共 50 条
  • [1] Spatial Heterogeneity and Clustering of County-Level Carbon Emissions in China
    Wang, Min
    Ma, Yunbei
    SUSTAINABILITY, 2024, 16 (23)
  • [2] Do carbon emissions trading pilots effectively reduce CO2 emissions? County-level evidence from eastern China
    Yang, Jian
    Liu, Chunli
    Liu, Xin
    INTERNATIONAL JOURNAL OF TECHNOLOGY MANAGEMENT, 2024, 95 (1-2) : 156 - 172
  • [3] County-level intensity of carbon emissions from crop farming in China during 2000-2019
    Li, Cheng
    Jia, Junwen
    Wu, Fang
    Zuo, Lijun
    Cui, Xuefeng
    SCIENTIFIC DATA, 2024, 11 (01)
  • [4] The Impact of Target Price Policy on Cotton Cultivation: Analysis of County-Level Panel Data from China
    Wang, Wei
    Zhang, Chongmei
    Song, Jiahao
    Xu, Dingde
    AGRICULTURE-BASEL, 2021, 11 (10):
  • [5] Estimation of county-level black carbon emissions and its spatial distribution in China in 2000
    Qin, Y.
    Xie, S. D.
    ATMOSPHERIC ENVIRONMENT, 2011, 45 (38) : 6995 - 7004
  • [6] County-level land use carbon emissions in China: Spatiotemporal patterns and impact factors
    Liu, Chong
    Hu, Shougeng
    Wu, Si
    Song, Jiarui
    Li, Haiyang
    SUSTAINABLE CITIES AND SOCIETY, 2024, 105
  • [7] Trade shocks and urbanization: evidence from county-level data in China
    Chen, Shuo
    Li, Yiran
    Wang, Xuanyi
    APPLIED ECONOMICS LETTERS, 2024, 31 (19) : 1987 - 1996
  • [8] Asymmetries in multi-target monetary policy rule and the role of uncertainty: Evidence from China
    Long, Shaobo
    Zuo, Yulan
    Tian, Hao
    ECONOMIC ANALYSIS AND POLICY, 2023, 80 : 278 - 296
  • [9] The Impact of Weather on Economic Growth: County-Level Evidence from China
    Wan, Wei
    Wang, Jue
    SUSTAINABILITY, 2024, 16 (22)
  • [10] Study of county-level low-carbon standards in China based on carbon emissions per capita
    Hou, L.
    Tang, L.
    Qian, Y.
    Chen, H.
    Wang, L.
    INTERNATIONAL JOURNAL OF SUSTAINABLE DEVELOPMENT AND WORLD ECOLOGY, 2019, 26 (08): : 698 - 707