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金融要素集聚的绿色创新效应:空间关联特征与城市群异质性 被引量:4

Green Innovation Effects of Financial Factors Agglomeration:Spatial Correlation Characteristics and Heterogeneity of City Clusters
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摘要 区域绿色技术创新体系建设是经济绿色转型的重要基础,而金融要素空间集聚则充当着科技创新活动的重要加速器。现有文献围绕着金融要素集聚和绿色技术创新两条主线展开广泛讨论,也关注到金融要素集聚所内生的绿色创新效应,但较少基于城市群这一新时期区域协同发展的新型空间载体,系统考察两者的空间关联效应及其区域异质性特征。因此,选取国内十大代表性城市群,对其内部金融要素集聚和绿色技术创新的时空演变轨迹和空间关联异质性进行多维度诊断。研究发现:第一,金融要素集聚有助于通过各种空间效应加速城市群内部的绿色金融发展,进而正向驱动区域绿色技术创新水平的提升;第二,城市群范围内的金融要素集聚不仅会对区域绿色技术创新产生明显的本地促进效应,也会同时形成显著的空间溢出效果;第三,金融要素集聚对于绿色技术创新的空间效应还会受到城市群金融集聚模式、行政层级特征、经济发展状况等因素制约。有鉴于此,区域协同发展过程中,应围绕城市群发展定位构建差异化的金融要素集聚模式,因之打造契合于不同城市群现实约束的绿色金融服务体系和绿色技术创新体系;同时深度挖掘金融要素集聚对于绿色金融发展和绿色技术创新的空间传导效应及其异质性特征,推动金融改革和绿色发展的有效空间互动。 Building a regional green technological innovation system is an important foundation for the green transformation of the economy,while the spatial agglomeration of financial factors serves as an important accelerator for scientific and technological innovation activities.In the existing literature,the two main lines of financial factors agglomeration and green technological innovation have been discussed in detail and also considered the green innovation effect that endogenously leads to financial factors agglomeration,but few have systematically examined the spatial correlation effect of the two and their regional heterogeneity based on the characteristics of city clusters that are the new spatial supports for the regional synergistic development of the new period.Therefore,ten representative city clusters in China are selected to diagnose the spatial and temporal development trajectories and the spatial correlation heterogeneity of the agglomeration of financial factors and green technological innovation within city clusters.It concludes that:First,the agglomeration of financial factors through various spatial effects can help accelerate the development of green finance within city clusters and then positively promote the improvement of regional green technological innovation.Second,the agglomeration of financial factors within city clusters leads not only to obvious local support effects on regional green technological innovations,but also to significant spatial spillover effects.Third,the spatial effects of financial factors agglomeration on green technological innovations are also influenced by the spatial and temporal development of city clusters and the spatial and temporal heterogeneity of green technological innovations.Last,the spatial effect of agglomeration of financial factors on green technological innovation is also constrained by the financial agglomeration pattern of city clusters,administrative level characteristics,economic development status and other factors.On the basis,differentiated financial factors agglomeration patterns should be constructed around the development positioning of city clusters in the process of regionally coordinated development,so as to create green financial service systems and green technological innovation systems that meet the actual constraints of various urban clusters.At the same time,the spatial routing effects of financial factors agglomeration on green financial development and green technological innovation as well as their heterogeneous characteristics should be investigated,and the effective spatial interactions between financial reforms and green development should be promoted.And the spatial spillover effects of financial factors agglomeration on green financial development and green technological innovation as well as their heterogeneous characteristics are studied in depth to promote effective spatial interaction between financial reform and green economy.
作者 王韧 段义诚 刘柳巧 WANG Ren;DUAN Yicheng;LIU Liuqiao(School of Finance,Capital University of Economics and Business,Beijing 100070,China;School of Finance,Chongqing Technology and Business University,Chongqing 400067,China)
出处 《统计与信息论坛》 北大核心 2024年第1期58-73,共16页 Journal of Statistics and Information
基金 国家社会科学基金一般项目“长江经济带绿色金融与生态资源的效率测度与耦合度研究”(21BTJ025)。
关键词 金融要素集聚 绿色技术创新 城市群 异质性 空间关联特征 financial factors agglomeration green technological innovation city cluster heterogeneity spatial correlation characteristics
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