摘要
通过全局和局部的空间自相关系数Moran′I和LISA分析福建省金融业集聚的空间效应,发现作为福建省三个重要中心城市和金融发展极的福州、厦门仍然处于金融发展中心的初级阶段,而泉州金融业集聚对周边邻近区域没有空间溢出效应。进一步构建金融业集聚影响因素的OLS,SEM,SLM和GWR模型,发现经济规模总量、区位因素、工业集聚和效益对福建省金融业空间集聚起到促进作用;经济市场化和开放度以及人才支持对福建省金融业空间集聚起到抑制的作用。
After the analysis of the spatial effect of financial clustering in Fujian province via the overall and partial spatial autocorrelation Moran'I and LISA, the article reveals that Fuzhou and Xiamen are still in the primary stage of financial development center whereas the financial clustering of Quanzhou doesn't have spatial spillover effects on neighborhood, as these three cities are the important central cities and financial development poles in Fujian province. Next, economic scale aggregate, loeational factors,industrial clustering and benefit can promote the spatial clustering of finance in Fujian province, with the design of the OLS, SEM, SLM and GWR models affecting financial clustering. However, economic marketization and openness, talents support would inhibit the spatial clustering of finance in Fujian province. Finally, the article analyzes the results of the above models and offers some advices and strategies.
出处
《牡丹江师范学院学报(社会科学版)》
2015年第4期41-45,共5页
Journal of Mudanjiang Normal University(Social Sciences Edition)
基金
2013年福建省中青年教师教育科研项目(社科B类)(JB13515S)
2014年福建省中青年教师教育科研项目(社科A类)(JAS14395)
关键词
金融业集聚
空间效应
空间计量模型
金融发展极
financial clustering
spatial effect
spatial econometric model
financial pole