动态视角下城市科技创新效率评价研究——以福建九地级市为例  

An evaluation of science and technology innovation efficiency of cities from the dynamic perspective by taking 9 prefecture-level cities in Fujian Province as an example

作　　者：朱鹏颐[1] 刘东华[1] 黄新焕[1] 

机构地区：[1]福建师范大学经济学院,福建福州350117

出　　处：《科研管理》2017年第6期43-50,共8页Science Research Management

基　　金：国家自然科学基金项目(71602035;2017/01-2019/12;71403052;2015/01-2017/12);福建省社科规划项目(FJ2016C016;2016/08-2018/09);福建师范大学教师博士毕业科研启动项目(2016/09-2018/09)

摘　　要：本文以福建省九地级市科技创新系统为研究对象,运用超效率数据包络分析视窗模型分析2010-2014年各城市科技创新效率的动态变化,联合Malmquist指数揭示城市科技创新效率变动的深层次原因。研究表明:福建省多数城市科技创新效率DEA无效,效率提升空间较大。福州、厦门等经济较发达地区的科技创新效率相对较低,福州投入拥挤效应比较显著。Malmquist指数分析表明,技术进步始终是福建各地级市全要素生产率增长的制约因素,其综合技术效率的提高更多地得益于规模效率的改进。据此,提出提升福建科技创新效率的若干建议。Science and technology （S＆T） innovation system of 9 prefecture - level cities in Fujian Province is taken as a research object in this paper. Super efficiency - DEA window model is applied to analyze the dynamic changes of various cities＇ S＆T innovation efficiency from 2010 to 2014. The fundamental causes of these changes are explored with Malmquist index. The results show that S＆T innovation efficiencies for most of the cities are DEA invalid, and the improvement space is large. Innovation efficiency of economically - developed cities such as Fuzhou and Xiamen is relative low. There is a significantly crowding effect of investment in Fuzhou. The index analysis shows that technological progress is always a key restriction factor in the growth of total factor productivity, and comprehensive technical efficiency improvement is more determined by scale efficiency improvement. Finally, some suggestions are proposed to improve the S＆T innovation efficiency of Fujian.

关 键 词：动态视角 城市科技创新效率 超效率DEA视窗模型 MALMQUIST指数 

分 类 号：G322.7[文化科学]