摘要
基于Cobb-Douglas生产函数的对数化模型,通过地理邻近、经济邻近、技术邻近和制度邻近四种邻近维度,利用2009~2017年粤港澳大湾区11个城市的空间面板数据,以Moran指数、OLS回归及空间杜宾SDM模型对粤港澳大湾区城市群的知识溢出效应与区域创新能力进行实证研究。实证结果表明:①粤港澳大湾区在地理邻近、技术邻近和制度邻近三种邻近维度均不具有显著的空间集聚特征,只有经济邻近具有显著的正向集聚性;②研发支出和人力资本对区域创新能力有显著的正向作用;③区域基础创新能力集聚程度要高于次新创新能力。
Based on the logarithmic model of Cobb-Douglas production function, using the spatial panel data of 11 cities in Guangdong-Hong Kong-Macao Greater Bay Area from 2009 to 2017, the knowledge spillover effect and regional innovation ability of urban agglomerations in Guangdong-Hong Kong-Macao Greater Bay Area were empirically studied by Moran index, OLS regression and spatial Dubin model through four proximity dimensions: geographical proximity, economic proximity, technological proximity and institutional proximity. The empirical results show that:①the three adjacent dimensions of geographical proximity, technological proximity and institutional proximity have no significant spatial agglomeration characteristics, only economic proximity has significant positive agglomeration;②R&D expenditure and human capital have significant positive effects on regional innovation capability;③the agglomeration degree of regional basic innovation capability is higher than that of sub-new innovation ability.
作者
李燕
LI Yan(School of Finance and economics,Guangdong Polytechnic Normal University,Guangzhou 510665)
出处
《软科学》
CSSCI
北大核心
2019年第11期138-144,共7页
Soft Science
基金
教育部人文社会科学一般项目(18YJAZH051)
广州市科创委软科学基金项目(201709020006)
关键词
大湾区
R&D知识溢出
区域创新能力
Greater Bay Area
R&D knowledge spillover
regional innovation ability
