贵州财经大学学报

贵州财经大学学报 ›› 2024 ›› Issue (01): 100-110.

• 绿色发展论坛 • 上一篇    

智慧降碳:金融科技发展的城市碳减排效应研究

王小华1,2, 和杨亦兰2, 宋檬2   

  1. 1. 西南大学 普惠金融与农业农村发展研究中心, 重庆 400715;
    2. 西南大学 经济管理学院, 重庆 400715
  • 收稿日期:2023-02-20 出版日期:2024-01-15 发布日期:2024-01-30
  • 作者简介:王小华(1986—),男,重庆人,管理学博士,西南大学经济管理学院教授,西南大学普惠金融与农业农村发展研究中心研究员,研究方向为智能金融与数字乡村建设;和杨亦兰(1998—),女,云南丽江人,西南大学经济管理学院硕士生,研究方向为金融科技与高质量发展;宋檬(1999—),女,云南保山人,西南大学经济管理学院研究生,研究方向为金融科技与高质量发展。
  • 基金资助:
    国家社会科学基金一般项目"金融科技增强金融普惠性的理论逻辑与路径优化研究"(21BJL086);江苏高校哲学社会科学重大项目"数字普惠金融服务江苏乡村产业振兴的耦合协调机制研究"(2022SJZD020);重庆市研究生科研创新项目"智慧城市对城市宜居性的影响效应研究"(CYS23153)。

Smart Carbon Reduction: A Study of Urban Carbon Reduction Effect on Fintech Development

WANG Xiao-hua1,2, HE Yang-yi-lan2, SONG Meng2   

  1. 1. Southwest University, Center for Inclusive Finance and Agricultural & Rural Development, Chongqing 400715;
    2. Southwest University, School of Economics and Management, Chongqing 400715
  • Received:2023-02-20 Online:2024-01-15 Published:2024-01-30

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摘要： 深入研究金融科技发展对城市碳排放量的影响及作用机制,对精准制定碳减排政策、发展低碳经济、推动城市智慧降碳具有重要的理论和现实意义。区别于以往区域内单一维度的研究,本文测算了中国城市的金融科技发展指数,基于2011~2019年中国264个城市的面板数据,从区域内和区域间两个方面检验了金融科技发展对城市碳排放量的影响效应及作用机制。结果显示:区域内金融科技发展能够显著降低城市二氧化碳的排放量,这一结论在使用工具变量缓解内生性以及替换金融科技发展指标等一系列稳健性检验后仍然成立;机制分析表明金融科技能够通过提高技术创新水平和资源配置效率两个途径降低城市碳排放量;区域间金融科技发展水平和二氧化碳排放量具有显著的空间关联性,金融科技虽然能降低本地城市二氧化碳的排放量,但会促进周边城市二氧化碳排放量,呈现出"以邻为壑"的现象。基于区域内和区域间金融科技碳减排效应的不同表现进行进一步研究,发现金融科技的碳减排效应在北部城市显著强于南部城市、在非城市群城市显著强于城市群城市、在其他城市显著强于中心城市。

关键词: 金融科技, 城市碳排放量, 技术创新, 资源配置

Abstract: In-depth research on the impact and mechanism of financial technology development on urban carbon emissions has important theoretical and practical significance for accurately formulating emission reduction policies, developing low-carbon economies, and promoting smart carbon reduction in cities. Unlike previous studies that focused on a single dimension within a region, this paper calculates the financial technology development index of Chinese cities and examines the impact and mechanism of financial technology development on urban carbon emissions from both within and between regions based on panel data of 264 Chinese cities from 2011 to 2019. The results show that financial technology development within a region can significantly reduce urban carbon dioxide emissions, and this conclusion still holds after using instrumental variables to mitigate endogeneity and replacing financial technology development indicators in a series of robustness tests. Mechanism analysis indicates that financial technology can reduce urban carbon emissions by improving technological innovation and resource allocation efficiency. There is a significant spatial correlation between financial technology development and carbon dioxide emissions between regions. And although financial technology can reduce local urban carbon emissions, it can also promote carbon dioxide emissions in neighboring cities, showing a "beggar-thy-neighbor" phenomenon. Further research on the different performance of financial technology carbon reduction effects within and between regions shows that the carbon reduction effect of financial technology is significantly stronger in northern cities than in southern cities, significantly stronger in non-urban agglomeration cities than in urban agglomeration cities, and significantly stronger in other cities than in central cities.

Key words: fintech, urban carbon emissions, technological innovation, resource allocation

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