摘要
构建了区域创新网络评价体系,并测度了我国区域创新网络水平和空间分布格局。采用社会网络分析和QAP回归分析方法,考察了我国区域创新网络空间关联特征和影响因素。研究发现,我国区域创新网络水平呈东高西低格局,东部地区多处于空间关联网络的核心,并通过吸收中西部创新资源形成明显的创新联动效应。地理位置、经济基础、创新资源投入是影响创新网络空间溢出的主要因素。
This paper constructs a regional innovation network evaluation system and measures the level and spatial distribution pattern of regional innovation networks in China. The social network analysis and QAP regression analysis methods are used to investigate the spatial correlation char-acteristics and influencing factors of regional innovation network. The study finds that the level of regional innovation network in eastern China is higher than in western regions. The eastern regions are mostly at the core of the spatial correlation network,and it has formed an obvious innovation linkage effect by absorbing the inflow of innovative resources from the central and western regions. Geographic location,economic base,and investment in innovative resources are the main factors affecting the spatial spillover of innovation network.
作者
金浩
王平平
赵晨光
Jin Hao;Wang Pingping;Zhao Chenguang(School of Economics and Management, Hebei University of Technology, Tianjin 300401, China)
出处
《当代经济管理》
CSSCI
北大核心
2019年第5期49-57,共9页
Contemporary Economic Management
基金
国家社会科学基金项目(18BJY027)
河北省社会科学规划项目(HB17GL026)
河北省软科学基金项目(18457606D)
天津市社会科学规划基金项目(TJYY17-028)
河北省研究生创新资助项目(CXZZBS2018042)
关键词
区域创新网络
空间关联
社会网络分析
QAP
regional innovation network
spatial correlation
social network analysis
QAP