摘要
本文运用空间面板模型对我国产业集聚的知识溢出效应与工业经济增长之间的关系进行了实证分析。研究结果表明,我国工业经济增长在相邻地区之间存在负向的空间相关性,地区工业发展不仅与本地知识溢出、资本投入和劳动投入密切相关,而且会受到其相邻地区工业经济增长的显著影响;MAR溢出性和Jacobs溢出性对本地工业经济增长的影响均显著为正,并且产业专业化的促进效应大于产业多样化,在本地工业发展中Porter溢出性并不显著,但相邻地区的产业竞争程度对本地工业经济增长产生了正向作用。
Based on the spatial panel data model,this paper studies the influence of knowledge spillover on the industrial growth in the process of industrial agglomeration. We find that there is a significant spatial autocorrelation between industrial growth of different regions in China. The development of local industry is not only closely related with knowledge spillover,capital investment and labor input,but also significantly affected by the industrial development of neighboring regions. There exist significant MAR spillovers and Jacobs spillovers in the regional industry development,and industrial specialization plays a more important role than industrial diversity in promoting the development of local industry. However,we do not find clear evidence on the presence of Porter spillovers in local industrial growth,and the competition of neighboring regions is conducive to the local industry development.
出处
《财经论丛》
CSSCI
北大核心
2015年第1期3-9,共7页
Collected Essays on Finance and Economics
基金
国家社科基金资助项目(10BJL041)
吉林省科技发展计划软科学研究基金资助项目(20130420035FG)
关键词
产业集聚
知识溢出
工业经济增长
空间面板模型
industrial agglomeration
knowledge spillover
industrial growth
spatial panel data model