Have carbon emission trading pilot policy improved urban innovation capacity? Evidence from a quasi-natural experiment in China

被引:72
|
作者
Guo, Bingnan [1 ]
Feng, Yu [1 ]
Hu, Feng [2 ]
机构
[1] Jiangsu Univ Sci & Technol, Sch Humanities & Social Sci, Zhenjiang, Jiangsu, Peoples R China
[2] Shanghai Univ Int Business & Econ, Inst Int Business & Econ Innovat & Governance, Shanghai, Peoples R China
关键词
Carbon emission trading pilot policy; Urban innovation capacity; Difference-in-difference model; Spatial spillover; China; ENVIRONMENTAL-REGULATION;
D O I
10.1007/s11356-023-25699-x
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The carbon emission trading pilot policy is an important initiative to achieve synergistic economic-environmental development. Based on the data of 268 cities in China from 2006 to 2020, this paper analyzes the impact of carbon emission trading pilot policy on urban innovation capacity by using a time-varying difference-in-difference model. The study shows that, first, the implementation of the CETP improves the innovation capacity of cities, and the robustness test confirms the above findings. Second, the effect of the policy on enhancing urban innovation capacity is heterogeneous between the type of innovation and city type: the promotion of innovation capacity is stronger for utility model patents and non-capital cities. Third, there is a positive spillover effect of the implementation of the CETP on the promotion effect of the urban innovation capacity, which can lead to the improvement of the innovation capacity of neighboring cities. This paper has some reference value for building a unified carbon emission trading market and promoting low-carbon economic development within China.
引用
收藏
页码:10119 / 10132
页数:14
相关论文
共 50 条
  • [21] Natural resource assets management and urban carbon emission efficiency: Evidence from quasi-natural experiment in China
    Siyiti, Muhetaer
    Yao, Xin
    ENERGY ECONOMICS, 2024, 140
  • [22] Innovation-driven development and urban carbon emission reduction: a quasi-natural experiment in China
    Lan Fang
    Heyan Tang
    Muge Mou
    Environmental Science and Pollution Research, 2023, 30 : 8002 - 8019
  • [23] Innovation-driven development and urban carbon emission reduction: a quasi-natural experiment in China
    Fang, Lan
    Tang, Heyan
    Mou, Muge
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (03) : 8002 - 8019
  • [24] Green innovation, clean energy, and emission trading policy: evidence from quasi-natural experiments
    Yang, Fei
    Wang, Chunchen
    TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT, 2024, 36 (08) : 1863 - 1881
  • [25] Impact of carbon emission trading on urban green innovation: empirical evidence from China's carbon emission trading pilot policy
    Tian, Kun
    Zhai, Duanqiang
    Han, Shuo
    FRONTIERS IN ENVIRONMENTAL SCIENCE, 2024, 12
  • [26] Innovation policy and ecological welfare performance: evidence from a quasi-natural experiment of China
    Su, Yutong
    Li, Wenqi
    Chen, Ming
    Wu, Chengfeng
    Tan, Xin
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (45) : 100994 - 101013
  • [27] Innovation policy and ecological welfare performance: evidence from a quasi-natural experiment of China
    Yutong Su
    Wenqi Li
    Ming Chen
    Chengfeng Wu
    Xin Tan
    Environmental Science and Pollution Research, 2023, 30 : 100994 - 101013
  • [28] Carbon Emissions Trading Policy and Regional Energy Efficiency: A Quasi-Natural Experiment from China
    Zhai, Xiangnan
    Yang, Xue
    Vukovic, Darko B.
    Dinets, Daria A.
    Liu, Qiang
    ENERGIES, 2025, 18 (05)
  • [29] Digital economy policy and corporate low-carbon innovation: Evidence from a quasi-natural experiment in China
    Hunjra, Ahmed Imran
    Zhao, Shikuan
    Goodell, John W.
    Liu, Xiaoqian
    FINANCE RESEARCH LETTERS, 2024, 60
  • [30] Carbon emissions trading and corporate energy efficiency: Evidence from a quasi-natural experiment in China
    Liu, Guanchun
    Zhang, Gaorong
    Song, Malin
    Fu, Shun
    TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2025, 212