区域创新产出空间异质性及关联网络分析

Spatial Correlation Network and Heterogeneity Analysis of Regional Innovation Output

以1985-2015年29个省市创新产出为研究对象,以发明专利申请受理量作为基础数据,综合莫兰指数、VAR模型和块模型,对中国29个省市创新产出的空间特征和相关性进行研究。结果显示:①中国区域创新产出表现出强烈的空间集聚性,其空间格局呈现出非均衡性和空间异质性特征;②中国区域创新产出可分为4个功能板块:第一板块是“经纪人板块”,第二板块是“双向溢出板块”,第三板块是“净受益板块”,第四板块是“主受益板块”;③四大板块具有自反性的同时,板块之间的关联性也非常显著。上述结论有利于各省市区发现本区域创新变化轨迹,正确认识区域创新能力及差异的地理特征影响,以及各区域在关联网络中的不同地位和作用,以便更好地探究区域创新的传递机制和发展策略。

In this paper, it takes innovation output of 29 provinces during 1985-2015 as the research object. Specifically, it uses the amount of patent applications received as the basic data analysis to research the spatial characteristics and correlation and of regional innovation output of 29 provinces based on Moran's I index, VAR model and block model. The results show that regional innovation output in China have shown strong spatial agglomeration, and its spatial pattern presents non-equilibrium and spatial heterogeneity. The regional innovation output in China can be divided four plates. The first is "agent plate", the second is " bidirectional spillover plate", the third is "net beneficial plate", the fourth is "main beneficial plate". While the four plates are reflexive, the correlation between the plates is also very significant. These conclusions will help to discover the change trajectory of regional innovation, and correctly understand their regional innovation capability and the influence of geographical characteristics of difference, and the different position and function of each region in the associated network, in order to better explore the transfer mechanism and development strategy of regional innovation.