知识溢出对区域创新效率的调节机制  

Moderating Effects about Knowledge Spillover and Regional Innovation Efficiency

作　　者：王崇锋[1] 

机构地区：[1]青岛大学商学院,山东青岛266071

出　　处：《中国人口·资源与环境》2015年第7期77-83,共7页China Population,Resources and Environment

基　　金：国家社会科学基金项目"异质需求;空间集聚与我国产业升级内生动力研究"(编号:13CJY063);国家软科学研究计划"人才聚集与区域经济协同发展研究--以山东半岛蓝色经济区为例"(编号:2013GXS4D129);山东省社会科学规划项目"山东省高校毕业生就业流动及其就业质量调查研究"(编号:13CDYJ03)

摘　　要：通过促进知识溢出提高区域创新效率是实施创新驱动发展战略和实现区域经济收敛的有效途径之一。基于Griliches-Jaffe知识生产函数回归模型,以2009-2012年中国大陆30个省级经济单元为研究对象,通过因子分析法,构建了由R&D研究机构数、R&D经费支出、R&D人员全时当量组成的创新投入因子,由规上工业企业技术引进经费支出、规上工业企业购买国内技术经费支出、规上工业企业技术消化吸收经费组成的知识溢出因子,由专利申请授权数、国外主要工具检索科研论文数、规上工业企业新产品产值增长、科技促进经济社会发展指数组成的创新产出因子,在此基础上实证分析了创新投入、知识溢出对创新产出的影响。结果表明:区域创新要素投入、知识溢出会显著影响区域创新能力,其中创新要素投入因子的回归系数为0.72,知识溢出因子的回归系数为0.23;知识溢出会显著正向调节创新投入与创新产出之间的关系,由知识溢出因子、创新投入因子构成的调节效应交互项的回归系数为0.09,即创新要素投入在知识溢出的调节下,会进一步提高创新产出水平,增强区域创新能力,其调节水平可能与区域创新系统成熟度以及地区教育水平密切相关。最后,针对研究结果提出相应的优化对策和建议:第一,需进一步加大区域创新要素投入建立合理的创新激励机制。第二,应鼓励企业技术购买与引进,引进人才,增强企业技术消化吸收能力。第三,需加强区域创新网络集群系统的构建,通过空间聚集使创新网络系统的知识溢出循环效应最大化,提高区域创新效率。第四,应加强政府、企业和高校、科研机构间官产学研合作以及企业间的互动合作,使知识要素在区域内最大化发挥溢出作用,有效提升区域创新效率,实现区域创新驱动发展。The implementation of innovation-driven strategy and regional economic convergence can be practicably promoted by knowledge spillover, which is able to, in turn, enhance regional innovation efficiency. This paper studied 30 provincial units in China's Mainland between 2009 and 2012, established the multi-targets evaluation system, used exploratory factor analysis method, and integrated R＆D Research institutions number, R＆D expenditure, R＆D personal FIE into innovation input factor, with import of technology, purchase of domestic technology and technology absorption of the scale industrial enterprise into knowledge spillover factor and authorized patent application, foreign research papers retrieved by essential tools, new products growth rate of scale industrial enterprise and promotional impact index of technology on economic and social development into innovation output in the meantime. Based on Griliches-Jaffe regression model, this study ran a regression using data of the 30 provinces in China and empirically analyzed the effects of innovation input and knowledge spillover on innovation output. The results show that regional innovation factors input and knowledge spillover have significant impact on regional innovation capacity, and the regression coefficient of innovation input is 0.72 and the regression coefficient of knowledge spillover is 0. 23. Knowledge spillover can positively moderate relationship between innovation input and output, and the regression coefficient of interaction with knowledge spillover and innovation input is 0.09, which means that innovation factors input can further improve innovation output and enhance regional innovation capacity under the moderation of knowledge spillover. In the end, targeted suggestions on improving regional innovation efficiency are provided on the above basis. Firstly, further input of regional innovation elements and proper establishment of innovation incentive mechanism is required. Secondly, it is suggested to encourage enterprises to purchase and b

关 键 词：知识溢出 创新驱动 区域创新能力 区域创新效率 

分 类 号：F061.5[经济管理—政治经济学]