Does carbon emission trading improve low-carbon technical efficiency? Evidence from China

被引:42
|
作者
Cai, Wugan [1 ]
Ye, Peiyun [1 ]
机构
[1] Fuzhou Univ, Sch Econ & Management, 2 Xueyuan Rd, Fuzhou 350108, Fujian, Peoples R China
基金
中国国家自然科学基金;
关键词
Carbon emission trading; Low-carbon technical efficiency; Semi-disposability; Augmented difference in differences; ENVIRONMENTAL-REGULATION; ELECTRICITY-GENERATION; UNDESIRABLE OUTPUTS; PORTER HYPOTHESIS; INNOVATION; PRODUCTIVITY; PERFORMANCE; ENERGY; TRANSFORMATION; DECOMPOSITION;
D O I
10.1016/j.spc.2021.09.024
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
With the growing severe challenges of the climate change, improving low-carbon technical efficiency (LTE) is considered as the most important way to facilitate the low-carbon development. Whether or not China's carbon emission trading (CET) can facilitate the LTE deserves deep exploration. Through the introduction of a more scientific semi-disposability assumption for undesirable output, this paper first calculates China's provincial LTE based on a non-radial and non-oriented data envelopment analysis (DEA) method and analyses the reasons for inefficiency. Furthermore, we explore the impacts and mechanisms of CET on the LTE using augmented difference in differences (augmented DID) model. The results show that China's provincial LTE is not satisfactory which presents a downward trend after experiencing a transient rise. The insufficient low carbon innovation output is the crucial impeding the LTE. The implement the CET pilots has improved the LTE and the promotion effect are mainly through strengthening innovation support and capital concentration, while the mediating effects of innovation synergy degree and talents concentration are not significant. Therefore, it is essential for the Chinese government to push forward the scientific construction of national carbon trading market rather than increase the inputs blindly, so as to stimulate the innovative vitality of enterprises as innovation subjects. (C) 2021 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:46 / 56
页数:11
相关论文
共 50 条
  • [41] Does business environment optimization improve carbon emission efficiency? Evidence from provincial panel data in China
    Li, Peiyu
    Liu, Xinzhi
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2024, 31 (16) : 24077 - 24098
  • [42] Will carbon emission trading policy improve the synergistic reduction efficiency of pollution and carbon? Evidence from 216 Chinese cities
    Bai, Tingting
    Qi, Yong
    Li, Zihao
    Xu, Dong
    MANAGERIAL AND DECISION ECONOMICS, 2023,
  • [43] Political uncertainty and carbon emission trading: Evidence from China
    Tang, Tony He
    Bao, Helen X. H.
    CITIES, 2024, 145
  • [44] Carbon Emission Trading and Corporate Financing: Evidence from China
    Meng, Li
    Wang, Ke
    Su, Taoyong
    He, He
    ENERGIES, 2022, 15 (14)
  • [45] Asset Structure, Asset Utilization Efficiency, and Carbon Emission Performance: Evidence from Panel Data of China's Low-Carbon Industry
    Dan, Erli
    Shen, Jianfei
    Zheng, Xinyuan
    Liu, Peng
    Zhang, Ludan
    Chen, Feiyu
    SUSTAINABILITY, 2023, 15 (07)
  • [46] Climate policy and low-carbon innovation: Evidence from low-carbon city pilots in China
    Pan, An
    Zhang, Wenna
    Shi, Xunpeng
    Dai, Ling
    ENERGY ECONOMICS, 2022, 112
  • [47] Carbon finance and low-carbon technological change: Evidence from China
    Zhang, Wenqi
    Wang, Zuogong
    ENERGY & ENVIRONMENT, 2024,
  • [48] Assessing the impact of emissions trading scheme on low-carbon technological innovation: Evidence from China
    Liu, Zhonglu
    Sun, Haibo
    ENVIRONMENTAL IMPACT ASSESSMENT REVIEW, 2021, 89
  • [49] Does carbon emission trading policy affect bank loans of firms? Evidence from China
    Yu, Zhi
    Cao, Yali
    Liu, Mo
    APPLIED ECONOMICS LETTERS, 2022, 29 (18) : 1709 - 1714
  • [50] Does carbon emission trading mitigate firm?s default risk? Evidence from China
    Zhang, Qingjun
    Zhang, Sulan
    Chen, Rong
    Li, Jing
    JOURNAL OF CLEANER PRODUCTION, 2023, 398