What's going on? Urban agglomerations and firm green innovation: Evidence from Chengdu-Chongqing Economic Circle, China

被引:13
作者
Hu, Ruifeng [1 ]
Xu, Weiqiao [1 ]
机构
[1] Xihua Univ, Sch Econ, Chengdu 610039, Sichuan, Peoples R China
关键词
Urban agglomerations; Firm green innovation; Difference-in-Differences; Patents; China; ENVIRONMENTAL-REGULATION; LISTED COMPANIES; PERFORMANCE; IMPACT; TECHNOLOGY; GROWTH;
D O I
10.1016/j.jclepro.2023.137662
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Urban agglomerations are an important spatial form of integrated regional development. However, their development may cause several environmental problems. The Chinese government has established a green strategy for urban agglomeration construction to achieve clean transformation by enhancing firm green innovation. In this context, this study collects green-granted patent data of listed firms in the Chengdu-Chongqing Economic Circle from 2000 to 2021, employs the difference-in-differences method to analyze whether firm green innovation is influenced by urban agglomerations, and explores the mediating effects of green finance as well as some moderating effects. The results show that urban agglomerations significantly improve firm green innovation. Second, urban agglomerations can partially enhance firm green innovation through the green finance channel, and firm digitalization positively moderates the mediating role of green finance. Third, the moderating analysis shows that large firms are more affected by urban agglomerations than small ones; the manufacturing industry has a greater influence than other industries; state-owned firms are not as impacted as non-state-owned firms; the level of economic and educational development can significantly enhance the positive impact of urban agglomerations on firms' green innovation. This study presents empirical evidence on the development of regional green innovation in China.
引用
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页数:13
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  • [21] How does green digitalization affect environmental innovation? The moderating role of institutional forces
    Guo, Qiaozhe
    Geng, Chengxuan
    Yao, Nengzhi
    [J]. BUSINESS STRATEGY AND THE ENVIRONMENT, 2023, 32 (06) : 3088 - 3105
  • [22] The relationship between regional compactness and regional innovation capacity (RIC): Empirical evidence from a national study
    Hamidi, Shima
    Zandiatashbar, Ahoura
    Bonakdar, Ahmad
    [J]. TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2019, 142 : 394 - 402
  • [23] Urban agglomerations, knowledge-intensive services and innovation: establishing the core connections
    Herstad, Sverre J.
    Ebersberger, Bernd
    [J]. ENTREPRENEURSHIP AND REGIONAL DEVELOPMENT, 2014, 26 (3-4) : 211 - 233
  • [24] Accessibility, air pollution, and congestion: Capturing spatial trade-offs from agglomeration in the property market
    Higgins, Christopher D.
    Adams, Matthew D.
    Requia, Weeberb J.
    Mohamed, Moataz
    [J]. LAND USE POLICY, 2019, 84 : 177 - 191
  • [25] How Regional High-Quality Co-Ordinated Development Influences Green Technology Choices: Evidence from 284 Cities in China
    Hu, Dameng
    Zhong, Changbiao
    Ge, Haoran
    Zou, Yawen
    Li, Chong
    [J]. LAND, 2022, 11 (07)
  • [26] A Combined Scientometric and Meta-analysis Exploration of Eco-innovation: Evolution and Determinants
    Hu, Ruifeng
    Xu, Weiqiao
    Yang, Yalin
    Ni, Guangxian
    [J]. JOURNAL OF THE KNOWLEDGE ECONOMY, 2024, 15 (01) : 3174 - 3201
  • [27] Exploring the Open Innovation Information Spillover Effect: Conceptual Framework Construction and Exploratory Analysis
    Hu, Ruifeng
    Diao, Xinyi
    [J]. IEEE ACCESS, 2021, 9 : 93734 - 93744
  • [28] Assessing the value of China's patented inventions
    Huang, Kenneth Guang-Lih
    Huang, Can
    Shen, Huijun
    Mao, Hao
    [J]. TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2021, 170
  • [29] Impacts of green finance on green innovation: A spatial and nonlinear perspective
    Huang, Yongming
    Chen, Chen
    Lei, Lijun
    Zhang, Yaping
    [J]. JOURNAL OF CLEANER PRODUCTION, 2022, 365
  • [30] Green finance and energy efficiency: Dynamic study of the spatial externality of institutional support in a digital economy by using hidden Markov chain
    Huo, Da
    Zhang, Xiaotao
    Meng, Shuang
    Wu, Gang
    Li, Junhang
    Di, Ruoqi
    [J]. ENERGY ECONOMICS, 2022, 116