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空间视角下省域金融势能与生态效率关系研究 被引量:7

Research on the Relationship between Provincial Financial Potential Energy and Ecological Efficiency in Perspective of Space
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摘要 提高金融的集聚程度,增强金融的辐射能力对转变经济增长方式,促进生态文明建设具有重要意义。利用我国2000-2017年30个地区(因数据缺失,不包括西藏地区和港澳台地区)的相关数据,分别采用引力模型和熵值法对金融势能和生态效率进行测度,通过构建空间杜宾模型对金融势能影响生态效率进行了实证研究。研究表明,金融势能和生态效率都具有“东高-西低”的分布,并存在正向的空间自相关性。金融势能的直接系数和间接系数均为正,不仅显著促进了当地生态效率的提高,对周边地区也存在溢出效应。另外,经济发展、产业结构和污染治理也能提高生态效率,而城镇化则起抑制作用。据此,提出缩小地区差距、扩大区域合作、发展绿色金融、支持金融创新等政策建议。 It is of great significance to improve the financial agglomeration degree and enhance the financial radiation ability to transform the economic growth pattern and push ecological civilization to a new stage.The panel data of 30 regions in China from 2000 to 2017 is used to measure the financial potential energy and ecological efficiency respectively by using the gravity model and entropy method,and the influence of financial potential energy on ecological efficiency is studied by using the Spatial Durbin Model.The financial potential energy and ecological efficiency both have a distribution of"east high-west low"and a positive spatial autocorrelation.Financial potential energy has not only significantly improved the local ecological efficiency,but also existes spillover effect on surrounding areas for it’s positive direct and indirect coefficients.In addition,economic development,industrial structure and pollution control can also improve ecological efficiency,while urbanization acts as a disincentive.Finally,based on the research results,some suggestions such as narrowing regional gap,expanding regional cooperation,developing green finance,and supporting financial innovation are put forward.
作者 庞庆华 陈隆缘 Pang Qinghua;Chen Longyuan(Commercial College,Hohai University,Changzhou 213022,Jiangsu,China)
机构地区 河海大学商学院
出处 《技术经济》 CSSCI 北大核心 2021年第7期84-90,共7页 Journal of Technology Economics
基金 江苏省大学生创新训练计划项目“高质量发展背景下金融集聚与生态效率互动关系研究”(201910294185Y)。
关键词 金融势能 生态效率 引力模型 熵值法 空间杜宾模型 financial potential energy ecological efficiency gravity model entropy method spatial durbin model
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