The impact of innovation-driven industrial clusters on urban carbon emission efficiency: Empirical evidence from China

被引:0
|
作者
Lu, Hongyu [1 ]
Yao, Zhuang [2 ]
Xue, Anna [4 ]
Cheng, Zhao [3 ]
机构
[1] Tianjin Univ Finance & Econ, Sch Econ, Tianjin 300222, Peoples R China
[2] Southwest Univ Nationalities, Sch Econ, Chengdu 610041, Sichuan, Peoples R China
[3] Peking Univ, Sch Publ Hlth, Beijing 100191, Peoples R China
[4] Capital Univ Econ & Business, Coll Business Adm, Beijing 100070, Peoples R China
关键词
Innovation-driven Industrial clusters; Carbon emission efficiency; Difference-in-differences model; Spatial difference-in-differences model; super-efficiency slacks-based measure model; INTELLECTUAL PROPERTY-RIGHTS; INSIGHTS; POLICIES; GROWTH; CITIES;
D O I
10.1016/j.scs.2025.106220
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Innovative industrial clusters can leverage economies of scale and synergies, thereby providing new impetus for enhancing carbon emission efficiency. This study, based on panel data from Chinese cities between 2010 and 2021, views the pilot policy of innovative industrial clusters as a quasi-natural experiment, using a difference-indifferences model to identify the causal relationship between innovative industrial clusters and carbon emission efficiency. The findings indicate that: (1) Innovative industrial clusters can significantly improve carbon emission efficiency, and this conclusion holds under multiple robustness checks; (2) Innovative industrial clusters enhance carbon emission efficiency by upgrading industrial structures, accelerating technological progress, and improving transportation efficiency; (3) The positive impact of innovative industrial clusters on carbon emission efficiency is more pronounced in cities with non-resource-based economies, higher administrative levels, greater marketization, relatively well-developed digital infrastructure, and stronger intellectual property protection; (4) Innovative industrial clusters exert a positive spatial spillover effect on carbon emission efficiency. This study is the first to examine the role of innovative industrial cluster policies in improving carbon emission efficiency, providing valuable insights and experiences for advancing sustainable development.
引用
收藏
页数:13
相关论文
共 50 条
  • [21] Impact of artificial intelligence on carbon emission efficiency: evidence from China
    Wu, Jie
    Liu, Tao
    Sun, Jiasen
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2024, 31 (01) : 144 - 166
  • [22] The impact of internet development on carbon emission efficiency: Evidence from China
    Liu, Xiaoxiao
    Li, Yongjin
    Wang, Shiqi
    Yang, Mian
    PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2024, 190 : 1601 - 1611
  • [23] Technical standardization and total factor productivity in innovation-driven development: Evidence from China
    Wang, Shuo
    Zheng, Yueping
    Wang, Qian
    PLOS ONE, 2023, 18 (10):
  • [24] How Does the Industrial Digitization Affect Carbon Emission Efficiency? Empirical Measurement Evidence from China's Industry
    Zhang, Ren-Long
    Liu, Xiao-Hong
    Jiang, Wei-Bo
    SUSTAINABILITY, 2023, 15 (11)
  • [25] Coupling and Coordinated Development of Carbon Emission Efficiency in Industrial Enterprises and the Digital Economy: Empirical Evidence from Anhui, China
    Hu, Fagang
    Liu, Hongjun
    Guo, Yuxia
    Ding, Heping
    Wang, Kun
    SUSTAINABILITY, 2024, 16 (14)
  • [26] Digital economy, spatial spillover and industrial green innovation efficiency: Empirical evidence from China
    Li, Guangqin
    Li, Xiaoge
    Huo, Lingzhi
    HELIYON, 2023, 9 (01)
  • [27] Way to measure Intangible capital for innovation-driven economic growth: Evidence from China
    Ni, Qingshan
    Zhang, Hao
    Lu, Yanjin
    ECONOMIC ANALYSIS AND POLICY, 2023, 78 : 156 - 172
  • [28] The impact of digital infrastructure on provincial green innovation efficiency—empirical evidence from China
    Jingwei Hu
    Huaichao Chen
    Jianhong Fan
    Zhimin He
    Environmental Science and Pollution Research, 2024, 31 : 9795 - 9810
  • [29] The Impact of Business Strategic Orientation on Innovation-Driven Mergers and Acquisitions: An Empirical Study
    Liu, Zhuozhu
    Li, Yiran
    Zhang, Zhaoyang
    Zhao, Rongying
    DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2021, 2021
  • [30] Empirical Evidence on the Determinants of TFP and Its Role in the Growth of Innovation-Driven Economies
    Kim, Hag-Soo
    SEOUL JOURNAL OF ECONOMICS, 2009, 22 (01) : 55 - 75