Spatial Effects of Financial Agglomeration and Green Technological Innovation on Carbon Emissions

被引:0
|
作者
Hao, Zhijie [1 ]
Zhao, Ziqian [2 ]
Pan, Zhiwei [2 ]
Tang, Decai [2 ]
Zhao, Meiling [3 ]
Zhang, Hui [3 ]
机构
[1] Jiangsu Open Univ, Business Sch, Nanjing 210036, Peoples R China
[2] Nanjing Univ Informat Sci & Technol, Sch Management Sci & Engn, Nanjing 210044, Peoples R China
[3] Jiangsu Trendy Informat Technol Co Ltd, Nanjing 211800, Peoples R China
关键词
green technological innovation; financial agglomeration; carbon emission; spatial measurement; TOTAL FACTOR PRODUCTIVITY; INDUSTRIAL AGGLOMERATION; CO2; EMISSIONS; POLICY; CHINA; JAPAN; REGULATIONS; PROMOTE;
D O I
10.3390/su17062746
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Financial agglomeration and green technology innovation are important measures to reduce carbon emissions and promote the development of a green economy. Based on the panel data of 30 provinces and cities in China from 2011 to 2020, this paper uses the locational entropy method and the carbon emission coefficient measurement method provided in the IPCC inventory guide to establish a spatial econometric model to explore the specific impact of financial agglomeration and green technology innovation on carbon emission. The results show that (1) both financial agglomeration and green technology innovation will reduce carbon emissions; (2) when considering the spatial effect, financial agglomeration and green technology innovation will effectively reduce carbon emissions; (3) the influence of financial agglomeration and green technology innovation on carbon emissions has regional heterogeneity. Only green technology innovation can significantly reduce carbon emissions in the eastern region. Financial agglomeration and green technology innovation in the central region can significantly reduce carbon emissions. Financial agglomeration in the western region can significantly reduce carbon emissions, but green technology innovation will lead to an increase in carbon emissions. This paper provides useful suggestions for optimizing the financial industry's structure, improving the level of green technology, and alleviating environmental pollution.
引用
收藏
页数:32
相关论文
共 50 条
  • [31] Spatial spillover effects of urbanization on carbon emissions in the Yangtze River Delta urban agglomeration, China
    Tiangui Lv
    Han Hu
    Xinmin Zhang
    Hualin Xie
    Li Wang
    Shufei Fu
    Environmental Science and Pollution Research, 2022, 29 : 33920 - 33934
  • [32] Spatial spillover effects of urbanization on carbon emissions in the Yangtze River Delta urban agglomeration, China
    Lv, Tiangui
    Hu, Han
    Zhang, Xinmin
    Xie, Hualin
    Wang, Li
    Fu, Shufei
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (23) : 33920 - 33934
  • [33] A Study of the Spatial Mechanism of Financial Agglomeration Affecting Green Low-Carbon Development: Evidence from China
    Quan, Tianshu
    Quan, Tianli
    SUSTAINABILITY, 2023, 15 (02)
  • [34] Nexus between green financial development, green technological innovation and environmental regulation in China
    Hasan, Mohammad Maruf
    Du, Fang
    RENEWABLE ENERGY, 2023, 204 : 218 - 228
  • [35] Industrial co-agglomeration, green technological innovation, and total factor energy efficiency
    Yang, Haochang
    Xu, Xiezu
    Zhang, Faming
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (41) : 62475 - 62494
  • [36] Industrial co-agglomeration, green technological innovation, and total factor energy efficiency
    Haochang Yang
    Xiezu Xu
    Faming Zhang
    Environmental Science and Pollution Research, 2022, 29 : 62475 - 62494
  • [37] Financial-Industrial Integration, Agency Cost, and Green Technological Innovation
    Kang, Liqun
    Zhang, Zhikai
    Peng, Han
    Yu, Rui
    EMERGING MARKETS FINANCE AND TRADE, 2025,
  • [38] Digital Economy, Green Dual Innovation and Carbon Emissions
    Zhang, Yu
    Liu, Xiaomeng
    Yang, Jiaoping
    SUSTAINABILITY, 2024, 16 (17)
  • [39] The Impact of Green Finance and Financial Technology on Regional Green Energy Technological Innovation Based on the Dual Machine Learning and Spatial Econometric Models
    Xie, Mingyue
    Zhao, Suning
    Lv, Kun
    ENERGIES, 2024, 17 (11)
  • [40] Effects of corruption, technological innovation, globalisation, and renewable energy on carbon emissions in asian countries br
    Rahman, Mohammad Mafizur
    Alam, Khosrul
    UTILITIES POLICY, 2022, 79