Does a carbon emissions trading scheme spur urban green innovation? Evidence from a quasi-natural experiment in China

被引:46
|
作者
Li, Chao [1 ]
Li, Xiangyou [2 ]
Song, Deyong [1 ]
Tian, Meng [3 ]
机构
[1] Huazhong Univ Sci & Technol, Sch Econ, Luoyu Rd 1037, Wuhan 430074, Peoples R China
[2] Party Sch Guangzhou Huangpu Dist, Guangzhou, Peoples R China
[3] Yangzhou Univ, Business Sch, Yangzhou, Jiangsu, Peoples R China
关键词
Carbon emissions trading scheme; urban green innovation; Porter Hypothesis; IPC Green Inventory; difference-in-differences; ENVIRONMENTAL-POLICY; ECO-INNOVATIONS; IMPACTS; DECOMPOSITION; REGULATIONS; INTENSITY; SUBSIDIES;
D O I
10.1177/0958305X211015327
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Based on the panel data of 277 cities between 2003 and 2017 and a unique city-level dataset of green patent applications, this study employs the difference-in-differences (DID) method to evaluate the effect of China's carbon emission trading scheme (ETS) pilots on urban green innovation. The findings indicate that China's ETS pilots have a positive impact on urban green innovation, and that impact is more significant for municipalities than for prefecture-level cities. Furthermore, the impact on different categories of urban green innovation is heterogeneous. More specifically, China's ETS pilots have significantly spurred urban green innovation that is closely related to energy conservation and emission reduction, including alternative energy production, transportation, energy conservation and so forth. Moreover, the facilitating effect of China's ETS pilots on urban green innovation suffers from a lagging effect, which began to show a significant positive effect in 2016. Overall, this paper identifies the effect of China's ETS pilots on urban green innovation, and suggests that the government should consider the heterogeneity of urban green innovation when designing national ETS policies.
引用
收藏
页码:640 / 662
页数:23
相关论文
共 50 条
  • [31] The impact of emissions trading system on corporate energy efficiency: Evidence from a quasi-natural experiment in China
    Li, Shan
    Liu, Jianjiang
    Shi, Daqian
    ENERGY, 2021, 233 (233)
  • [32] Promoting Urban Innovation through Smart Cities: Evidence from a Quasi-Natural Experiment in China
    Ji, Mingbo
    Jin, Mengyun
    Chen, Lingyun
    Liu, Yuwei
    Tian, Yihao
    LAND, 2024, 13 (03)
  • [33] Innovation incentives and urban carbon dioxide emissions: A quasi-natural experiment based on fast-tracking green patent applications in China
    Liu, Rui
    Zhu, Xuezhong
    Zhang, Meiyang
    Hu, Cheng
    JOURNAL OF CLEANER PRODUCTION, 2023, 382
  • [34] Intelligent manufacturing and green innovation: Quasi-natural evidence from China
    Cao, Xiaoxi
    Liu, Shutong
    HELIYON, 2024, 10 (15)
  • [35] Political Sensitivity and Carbon Emissions: Evidence From a Quasi-Natural Experiment of Leadership Change in China
    Su, Zhi
    Liu, Peng
    Wu, Liyan
    FRONTIERS IN ENERGY RESEARCH, 2022, 10
  • [36] Sustainable development goals and firm carbon emissions: Evidence from a quasi-natural experiment in China
    Liu, Xiaoguang
    Ji, Qiang
    Yu, Jian
    ENERGY ECONOMICS, 2021, 103
  • [37] Emissions trading and firm innovation: Evidence from a natural experiment in China
    Ren, Shenggang
    Hu, Yucai
    Zheng, Jingjing
    Wang, Yangjie
    TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2020, 155
  • [38] Can carbon emission trading improve carbon emission performance? Evidence from a quasi-natural experiment in China
    Wen Shi
    Jing Sang
    Jincheng Zhou
    Xiaowen Ding
    Zoe Li
    Environmental Science and Pollution Research, 2023, 30 : 124028 - 124040
  • [39] Can carbon emission trading improve carbon emission performance? Evidence from a quasi-natural experiment in China
    Shi, Wen
    Sang, Jing
    Zhou, Jincheng
    Ding, Xiaowen
    Li, Zoe
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (59) : 124041 - 124052
  • [40] The impact of carbon emissions trading policy on carbon emission efficiency in Chinese cities: Evidence from a quasi-natural experiment
    Keliang Wang
    Yuanjie Qiao
    Liwei Ling
    Ziheng Zhao
    Kun Liu
    Chinese Journal of Population,Resources and Environment, 2023, (03) : 121 - 136