长江流域资源与环境 >> 2025, Vol. 34 >> Issue (1): 28-41.doi: 10.11870/cjlyzyyhj202501003

• 区域可持续发展 • 上一篇    下一篇

长江经济带生态环境与绿色金融耦合协调度时空特征及影响因素

邓淇中1,2,李纯英1*   

  1. (1. 湖南科技大学商学院,湖南 湘潭 411201;2. 湖南科技大学区域经济高质量发展研究中心,湖南 湘潭 411201)
  • 出版日期:2025-01-20 发布日期:2025-01-24

Spatiotemporal Characteristics and Influencing Factors of Coupling Coordination Degree Between Ecological Environment and Green Finance in Yangtze River Economic Belt

DENG Qi-zhong1,2,LI Chun-ying1   

  1. (1. School of Business,Hunan University of Science and Technology,Xiangtan 411201,China;2. Research Center for 
    High Quality Development of Regional Economy,Hunan University of Science and Technology,Xiangtan 411201,China)
  • Online:2025-01-20 Published:2025-01-24

摘要: 绿色金融兼具金融资源配置与环境规制双重属性,探究生态环境与绿色金融耦合协调度的时空特征及影响因素对推动经济绿色转型,实现“双碳”目标具有重要意义。以长江经济带为研究对象,通过构建耦合协调评价指标体系,借助核密度估计、标准差椭圆等方法揭示二者耦合协调度的时空特征,并利用双向固定效应模型解析其影响因素。结果表明:(1)长江经济带生态环境与绿色金融耦合协调度整体呈上升态势,并伴随着多极分化现象,下游地区耦合协调度提升速度快于上游和中游地区。(2)流域内两系统耦合协调度空间差异特征明显,呈现出以上海为核心,以南京、杭州、成都、重庆为次核心的多元发展格局。(3)绿色创新、政府支持、开放程度、经济基础、人力资本、产业结构、能耗强度对二者耦合协调度的作用效果依次减弱,且各因素的影响效应在不同时期、不同区域具有时空异质性。

Abstract: Green finance has the feature of dual attributes of financial resource allocation and environmental regulation. Exploring the spatiotemporal characteristics and the influencing factors of the coupling coordination degree between ecological environment and green finance is of great significance for promoting green transformation in economic and achieving the carbon peaking and carbon neutrality goals. This paper took the Yangtze River Economic Belt as the research object to reveal the spatiotemporal characteristics of the coupling coordination degree. The coupling coordination evaluation index system was constructed, using the methods of kernel density estimation and standard deviation ellipse. The influencing factors were identified using bidirectional fixed-effect model. The results showed that:(1)There was an overall increase in the coupling coordination degree between the ecological environment and green finance in Yangtze River Economic Belt,accompanied by a phenomenon of multipolar differentiation. The coupling coordination degree in downstream areas increased faster than that in upstream and midstream areas. (2)The spatial differences in coupling coordination degree between the two systems were obvious. A spatial pattern of multi-core development presented, with Shanghai as the core and Nanjing,Hangzhou,Chengdu,and Chongqing cities as the sub-cores. (3)The effects in the order of green innovation,government support,openness,economic foundation,human capital,industrial structure,and energy intensity on the coupling coordination degree of the two systems gradually weakened. The effects of each factor demonstrated a spatiotemporal heterogeneity for different periods and regions.

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