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

被引:1
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
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页数:13
相关论文
共 62 条
[1]   Resolving the knowledge paradox: Knowledge-spillover entrepreneurship and economic growth [J].
Audretsch, David B. ;
Keilbach, Max .
RESEARCH POLICY, 2008, 37 (10) :1697-1705
[2]  
B D., 2007, OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information), DOI DOI 10.2172/910503
[3]   Transportation carbon emission reduction potential and mitigation strategy in China [J].
Bai, Caiquan ;
Chen, Zhijun ;
Wang, Daoping .
SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 873
[4]   Understanding the trend of total factor carbon productivity in the world: Insights from convergence analysis [J].
Bai, Caiquan ;
Du, Kerui ;
Yu, Ying ;
Fen, Chen .
ENERGY ECONOMICS, 2019, 81 :698-708
[5]   On the road: Access to transportation infrastructure and economic growth in China [J].
Banerjee, Abhijit ;
Duflo, Esther ;
Qian, Nancy .
JOURNAL OF DEVELOPMENT ECONOMICS, 2020, 145
[6]  
Bird L., 2007, Green power marketing in the united states: A status report, V10th, DOI [10.2172/15020500, DOI 10.2172/15020500]
[7]   The impact of China's R&D subsidies on R&D investment, technological upgrading and economic growth [J].
Boeing, Philipp ;
Eberle, Jonathan ;
Howell, Anthony .
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2022, 174
[8]   New energy demonstration city, spatial spillover and carbon emission efficiency: Evidence from China?s quasi-natural experiment [J].
Chai, Jian ;
Tian, Lingyue ;
Jia, Ruining .
ENERGY POLICY, 2023, 173
[9]   Carbon reduction benefits of photovoltaic-green roofs and their climate change mitigation potential: A case study of Xiamen city [J].
Chen, Taoyu ;
Zhang, Ni ;
Ye, Zubin ;
Jiang, Kunneng ;
Lin, Zhiqian ;
Zhang, Huimin ;
Xu, Yanhui ;
Liu, Qunyue ;
Huang, He .
SUSTAINABLE CITIES AND SOCIETY, 2024, 114
[10]  
Clark C., 1967, The conditions of economic progress.