Estimating the impacts of emissions trading scheme on low-carbon development

被引:90
作者
Zhang, Yan [1 ]
Zhang, Jiekuan [1 ]
机构
[1] Guilin Tourism Univ, 26 Liangfeng Rd, Guilin, Guangxi, Peoples R China
基金
中国国家自然科学基金;
关键词
Emissions trading scheme; Low-carbon development; Difference-in-differences model; CO2; emissions; Energy consumption; ENERGY-CONSUMPTION; CO2; EMISSIONS; ETS; CHINA; INDUSTRY; ECONOMY;
D O I
10.1016/j.jclepro.2019.117913
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
As the main climate policy, emissions trading scheme (ETS) has been proved by scholars to have significant impacts on carbon dioxide (CO2) emissions and energy consumption reduction worldwide. However, existing studies have focused mainly on the simulated impacts of ETS and few studies have poured specific attention into the actual impacts and their dynamical change, which may lead to an ambiguous understanding of ETS's performance. Here, taking China as the case study, this study investigated the net dynamic impacts of ETS policy on low-carbon development with respect to CO2 emissions, carbon intensity, energy consumption and energy intensity using a difference-in-differences method. The findings indicate that there is a positive relationship to some extent between carbon trading system and low-carbon transformation. The effect of ETS policy on low-carbon development will gradually increase over the time. When the variables population, gross domestic product, ratio of the secondary industry, technical level, and income level are controlled, these conclusions are also robust. In addition, common trend hypothesis and counterfactual test were used to confirm the reliability of the conducted difference-in-differences models. The findings are conductive to the future ETS policy-making and the research framework proposed in this study is also applicable to the assessment of global climate policy. (c) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页数:8
相关论文
共 36 条
  • [11] Impact of quota decline scheme of emission trading in China: A dynamic recursive CGE model
    Lin, Boqiang
    Jia, Zhijie
    [J]. ENERGY, 2018, 149 : 190 - 203
  • [12] The impact of Emission Trading Scheme (ETS) and the choice of coverage industry in ETS: A case study in China
    Lin, Boqiang
    Jia, Zhijie
    [J]. APPLIED ENERGY, 2017, 205 : 1512 - 1527
  • [13] The effects of climate policy on corporate technological upgrading in energy intensive industries: Evidence from China
    Liu, Wenling
    Wang, Zhaohua
    [J]. JOURNAL OF CLEANER PRODUCTION, 2017, 142 : 3748 - 3758
  • [14] Why the EU ETS needs reforming: an empirical analysis of the impact on company investments
    Lofgren, Asa
    Wrake, Markus
    Hagberg, Tomas
    Roth, Susanna
    [J]. CLIMATE POLICY, 2014, 14 (05) : 537 - 558
  • [15] Analysis of Czech Subsidies for Solid Biofuels
    Mardoyan, Anna
    Braun, Petr
    [J]. INTERNATIONAL JOURNAL OF GREEN ENERGY, 2015, 12 (04) : 405 - 408
  • [16] Biochar reduces nitrate level in red beet
    Marousek, Josef
    Kolar, Ladislav
    Vochozka, Marek
    Stehel, Vojtech
    Marouskova, Anna
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2018, 25 (18) : 18200 - 18203
  • [17] Techno-economic assessment of processing the cellulose casings waste
    Marousek, Josef
    Haskova, Simona
    Zeman, Robert
    Zak, Jaroslav
    Vanickova, Radka
    Marouskova, Anna
    Vachal, Jan
    Myskova, Katerina
    [J]. CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY, 2015, 17 (08) : 2441 - 2446
  • [18] Pretreatment of sunflower stalks for biogas production
    Marousek, Josef
    [J]. CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY, 2013, 15 (04) : 735 - 740
  • [19] Potential impacts of industrial structure on energy consumption and CO2 emission: a case study of Beijing
    Mi, Zhi-Fu
    Pan, Su-Yan
    Yu, Hao
    Wei, Yi-Ming
    [J]. JOURNAL OF CLEANER PRODUCTION, 2015, 103 : 455 - 462
  • [20] The impact of Chinese carbon emission trading scheme (ETS) on low carbon energy (LCE) investment
    Mo, Jian-Lei
    Agnolucci, Paolo
    Jiang, Mao-Rong
    Fan, Ying
    [J]. ENERGY POLICY, 2016, 89 : 271 - 283