摘要
目前对知识溢出的研究较多的集中于个体(即企业)角度,本文将研究视角转向空间。借鉴经典的知识溢出空间模型,根据知识的分类,利用结构方程模型(SEM)对知识存量及溢出形式进行拟合,并以上海为中心,测度长三角区域内的知识溢出情况,溢出结果用蜂窝图显示。实证结果表明:上海对长三角区域的知识溢出辐射影响尚且不足,由于空间距离、知识差距与吸收能力等因素的影响,江浙两省各市在知识溢出和吸收方面有所差别。长三角区域知识溢出的分析有助于政府从新的角度采取措施,营造利于区域经济共同发展的环境。
The traditional observation unit on knowledge spillover is individual(namely firm),while this is turned to space in this paper.Based on the previous spatial knowledge spillover model,the research obtains the linear fitting of the knowledge stock and its spillover routes with the method of SEM(Structural Equation Modeling) according to the classification of knowledge.Then the research makes Shanghai as the center to analyse the process of knowledge spillover in the Yangtze River Delta and the result is shown by beehive diagram.The empirical analysis shows that Shanghai's spillover effect on other cities is not well enough.Some factors,such as space distance,knowledge gap and absorptive capability,result in the difference between Jiangsu and Zhejiang on knowledge spillover.The analysis of regional knowledge spillover in the Yangtze River Delta is helpful to government to take new measure to ameliorate the environment in favor of common development.
出处
《情报杂志》
CSSCI
北大核心
2011年第7期55-59,共5页
Journal of Intelligence
基金
国家社会科学基金资助项目"基于演化视角的长三角区域非均衡发展及协调对策研究"(编号:07CJL028)
中国博士后科学基金资助项目"基于知识溢出的长三角区域协调发展研究"(编号:20090461080)
江苏省教育厅高校哲学社会科学基金项目"基于科学发展观的江苏省区域发展演化及制度安排研究"(编号:08SJD6300005)
江苏省高校"青蓝工程"资助
关键词
知识溢出
SEM
知识存量
路径分析
蜂窝图
knowledge spillover Structural Equation Modeling knowledge stock spillover routes beehive diagram