摘要
文章基于中国省域面板数据,利用空间统计方法检验金融集聚的空间相关性,借鉴新经济地理学理论构建空间计量模型,结合动态空间面板模型的计量方法,对金融集聚相关影响因素进行实证分析。研究结果表明,我国的区域金融集聚效应存在较为显著的"空间自相关性"和"路径依赖"特性;地方保护阻碍了金融要素的跨区域流动;受"路径依赖"的影响,产业集聚对金融集聚的影响不明显;"城市拥挤效应"强于"城市经济效应",导致城市化进程与金融集聚路径相悖;外贸依存和人才机制显著地促进金融集聚。
Based on China' s provincial panel data, this paper applies spatial statistical methods to inspect the spatial correlation of financial agglomeration, and uses for reference the new economic geography theory to construct a spatial econometric model. And then the paper combines with the metering method of the dynamic spatial panel model to make empirical analyses on the related factors of the financial concentration. Research results go as fallows: there exist remarkable "spatial autocorrelation" and "path dependence" feature in the financial industry agglomeration; local protectionism hinders inter-regional flows of the fi- nancial elements; affected by "path dependence", industrial agglomeration shows no significant effect upon financial agglomeration; "city crowding effect" is stronger than "city economic effect", which leads to the contradiction between urbanization process and the path of financial industry agglomeration; foreign trade dependence and the mechanism of human resources contribute significantly to the financial industry agglomeration.
出处
《统计与决策》
CSSCI
北大核心
2017年第12期154-157,共4页
Statistics & Decision
基金
国家社会科学基金重点项目(12AGL008)
教育部规划项目(12YJA790149)
贵州省社会科学规划青年项目(13GZQN16)
重庆市研究生科研创新项目(CYB14060)
关键词
金融集聚
空间相关
路径依赖
financial agglomeration
spatial correlation
path dependence