我国企业研发投入的空间相关性及其影响因素  

A Research on Spatial Correlativity of R&D Investment of Chinese Enterprises and its Influencing Factors

作　　者：陈泓[1] 

机构地区：[1]福州大学经济与管理学院,福建福州350108

出　　处：《经济管理》2016年第5期30-39,共10页Business and Management Journal ( BMJ )

基　　金：国家自然科学基金项目"半参数空间向量自回归模型的理论研究及其应用"(71171057);福建省软科学项目"福建省企业R&D投入的影响因素分析与促进政策研究"(2011R0063)

摘　　要：本文利用空间四分位图说明我国各省份的企业R&D经费投入呈现梯度空间格局,Moran’I指数、LISA集聚图等探索性空间数据分析方法说明了企业R&D经费投入存在较显著的空间相关性,呈现空间集聚特征。本文以2001—2013年我国30个省份的样本数据,构建空间面板滞后模型的回归结果显示,空间回归系数为正,证明了我国各省份企业研发投入受周边省份研发投入的正向影响,研发人员数量、外商直接投资、企业新产品销售收入均对R&D经费投入产生较显著的正向作用。Innovation has become the main focus of the society, ＂improving the capacity of independent innovation, building an innovative country＂ has risen to the height of national strategy, and technology innovation has become a national comprehensive competitiveness, which is the important power to accelerate economy and social development. R＆D funds are important innovation resources, and increasing R＆D investment is the first driving force of technological innovation. Enterprises as the main body of technology innovation, they should also play a significant role in innovation investment. However, there are great differences in R＆D funds of enterprises in vari- ous provinces of China, and there are the characteristics of spatial heterogeneity. The Classic regression method does not take the spatial dimension into account, so it＇s easy to have a devia- tion on the model set. This paper points out that innovation activities have significant spillover effects and character- istics of spatial agglomeration. Therefore, exploratory spatial data analysis method can be used to research the spa- tial distribution characteristic and its overall situation of R＆D investment in China. Also the spatial econometric method can be applied to explore the critical factors of the enterprise R＆D funds in China. This paper uses the exploratory spatial data analysis method to study enterprises＇ R＆D investment scale in each provinces. （1）According to the space quartering graph, it divided the national 31 provinces into four eche- lons. The study result shows that the gradient characteristics of the four echelon members are obvious, which is consistent with the economic development level of these provinces. （2）During the period of 2001--2013, the Mo- ran＇ I index of the national enterprise R＆D is greater than zero, showing that the national enterprise R＆D invest- ment has a positive spatial effect. The Moran＇ I index reached the maximum of 0. 285, which shows that the spatial dependence of enterprise R＆D

关 键 词：研发投入 空间相关 空间集聚 影响因素 

分 类 号：F270[经济管理—企业管理]