基于空间计量模型的金融支持区域创新研究  

Spatial Analysis on Financial Support for Regional Innovation

作　　者：戈冬梅[1] 柏玲[2] 姜磊[2,3] 

机构地区：[1]毕节学院地理与生命科学学院,贵州毕节551700 [2]华东师范大学资源与环境科学学院,上海200062 [3]格罗宁根大学空间科学学院

出　　处：《金融教育研究》2013年第1期44-52,共9页Research of Finance and Education

基　　金：国家自然科学基金项目:中国知识创新溢出与可持续发展研究(No.40671074);国家建设高水平大学公派研究生项目(留金发[2011]3010)

摘　　要：为明晰我国金融支持区域创新的空间效应,将金融支持体系划分为金融规模、金融效率和金融结构三个维度,借助空间模型考察了我国大陆31个省域金融支持区域创新的空间相关性。结果表明:区域创新指标呈现出显著的空间集聚特征,金融体系对区域创新的支持作用具有空间依赖性与空间自相关性,存在着溢出效应;以金融规模、金融效率和金融结构所表示的金融支持对区域创新的贡献存在明显差异,金融规模对区域创新起到积极的作用,而金融效率对区域创新起到很大的抑制作用,金融结构对区域创新起到微弱的抑制作用,但不显著。最后,根据研究结论从金融体系支持区域创新的相关方面提出了有针对性的政策建议。In order to study the spatial effect of financial support for regional innovation, we classify the financial support system into three dimensions, which are the financial scale, financial efficiency and the financial structure. Based on the spatial econometric model, the inter - relationship between China＇ s financial development and its regional innovation has been analyzed in 31 provinces of China. The results demonstrate that regional innovation indicator is of a significant feature of spatial clustering and the indicator of financial support for regional innovation are also of spatial dependence and spatial autocorrelation, which shows significant spatial spillover. The contribution to the regional innovation of the financial support system among the financial scale, financial efficiency and the finan- cial structure is relatively different. Financial scale has a positive relationship with regional innovation, then financial efficiency and financial structure have negative effects on regional innovation, but the indicator of financial structure is not significant in the results. Based on our research conclusions, the final part of this paper is about positive policies relevant to aspects of financial support for the regional innovation.

关 键 词：金融支持 区域创新 空间相关性 空间滞后模型 

分 类 号：F832[经济管理—金融学]