摘要
由于随机前沿分析方法在测量多投入、多产出创新效率问题的不足,本文结合投影寻踪模型降维的特点,构建了有效评测创新效率的随机前沿改进模型。基于2005—2013年各区域数据,对我国长三角、珠三角、京津冀三大都市圈创新资源配置效率进行了实证分析。研究结果表明:(1)在创新资源配置效率方面,珠三角与长三角创新资源配置效率明显高于京津冀都市圈;(2)从创新资源要素产出弹性的变化趋势来看,创新人力资源要素产出弹性高于创新财力资源要素产出弹性,创新人力资源要素对创新产出呈正"U"型关系;(3)国际贸易强度、地方政府对科技活动的支持力度、企业R&D支出等均对创新资源配置效率起到了积极显著的正向作用。教育重视程度对创新有正向作用,但不显著。GDP的增长对创新的影响需视具体情况而定。
Due to the shortage of multi-input and multi-output measuring innovation efficiency in stochastic frontier analysis,this paper explores a stochastic frontier improvement model combined with the characters of projection pursuit model,which can reduce the dimensionality of multidimensional data.Based on the data of regions from 2005 to 2013,this study empirically explicates the efficiency of resource allocation in the three metropolitan areas of Yangtze River Delta,Pearl River Delta and Beijing-Tianjin-hebei.The results show that the allocation efficiency of innovation resources in the Pearl River Delta and the Yangtze River Delta are significantly higher than that of the Beijing-Tianjin-Hebei metropolitan area,the output elasticity of human resource is higher than capital resources,and human resources are positively"U"type relations with innovation output.Moreover,we find which has played a positive and significant role in the efficiency of the innovation allocation,such as the support of local governments for science and technology activities,international trade intensity and the R&D expenditure of enterprises.The degree of education plays a positive effect on innovation,but not significant.The impact of GDP needs to be determined on a case-by-case.
作者
陈红军
谢富纪
CHEN Hongjun;XIE Fuji(Antai College of Economics&Management,Shanghai Jiao Tong University,Shanghai 200030,China;College of Business Administration,Beijing Institute of Economics and Management,Beijing 100102,China)
出处
《上海管理科学》
2018年第2期1-8,共8页
Shanghai Management Science
基金
教育部哲学社会科学研究重大课题攻关项目(15JZD017)
国家自然科学基金项目(71373158)
国家社会科学基金项目(15CGL008)
