中国制造业集聚对创新效率影响的实证研究——基于动态面板数据的GMM估计  

An Empirical Study of the Impact of Chinese Manufacturing Industry Agglomeration on Innovation Efficiency: Based on GMM Test of Dynamic Panel Data

作　　者：韩庆潇 查华超[1] 杨晨[2] 

机构地区：[1]南京大学经济学院,江苏南京210093 [2]南开大学经济学院,天津300071

出　　处：《财经论丛》2015年第4期3-10,共8页Collected Essays on Finance and Economics

基　　金：宁波大学科研基金资助项目(XYW15002)

摘　　要：本文运用曼奎斯特指数对我国制造业子行业的创新效率进行测度,基于2003-2012年的动态面板数据实证检验了整个制造业及按不同要素密集度划分的制造业中产业集聚对创新效率的影响。研究结果显示,从制造业总体来看,产业集聚水平的增加可有效促进创新效率的提高,按要素密集度划分的制造业中只有技术密集型制造业的集聚能有效促进创新效率的提高,劳动密集型和资本密集型制造业的促进作用并不显著。Firstly,this paper measures the level of innovation efficiency by Malmquist index. Then,based on 2003-2012 dynamic panel data,this paper tests the impact of industry agglomeration on innovation efficiency in all and different types of factor intensity manufacturing industries. The conclusion is as follows： from the perspective of the whole manufacturing industries,industry agglomeration can effectively increase innovation efficiency,wheras in the manufacturing industries classified according to the factor intensity,only technology-intensive industry agglomeration can effectively increase innovation efficiency,and the impact of agglomeration is not significant in labor-intensive and capital-intensive industries.

关 键 词：产业集聚 创新效率 曼奎斯特指数 

分 类 号：F062.9[经济管理—政治经济学]