基于非径向SE-C^2R模型与谱系聚类的中国区域创新效率分析  

Analysis on China's Regional Innovation Efficiency Based on Non-radial SE-C^2R Model and the Hierarchical Clusters Method

作　　者：王春枝[1,2] 赵国杰[1] 

机构地区：[1]天津大学管理与经济学部,天津300072 [2]内蒙古财经大学统计与数学学院,呼和浩特010070

出　　处：《中国软科学》2015年第11期68-80,共13页China Soft Science

基　　金：内蒙古哲学社会科学基金项目(2013B027);内蒙古自然科学基金项目(2014MS0701)

摘　　要：在构建区域创新效率评价指标体系的基础上,利用非径向SE-C^2R模型对2000-2013年中国内地30个省域创新效率进行了测算,并利用谱系聚类方法将其分为4个梯队。最后,利用面板单位根检验的LLC方法对区域创新效率的随机收敛性从五个层面进行了检验和分析。研究表明:中国创新效率总体较低,经济发达地区创新效率高于经济落后地区,东部地区创新效率存在随机收敛;西北地区、西南地区和黄河中游地区区域内创新效率不存在随机收敛。在此基础上,从创新资源投入、资源配置结构、制度性因素等方面分析了原因并提出了针对性的政策建议。By constructing the regional innovation efficiency index system,this paper evaluates the innovation efficiency of 30 provinces in China during 2000 -2012, With the non-radial SE-C^2R Model. And then, the 30 provinces are divided into four echelons. Finally, the stochastic convergence of regional innovation efficiency are tested and analyzed from five aspects by using the LLC method for panel unit root test. Conclusions show that the innovation efficiencies are low overall the 30 provinces and are rising in fluctuation ; the efficiency of innovation in developed regions is higher than that of the backward regions; the convergence of innovation efficiency exists in eastern regions, and it does not exist in the northwest, southwest and the middle reaches of the Yellow River regions. On this basis, the reasons of the problems are explained from the three aspects ： the level of innovation resources input, the configuration structure and the institutional factors, thus, the paper puts forward targeted policy recommendations.

关 键 词：非径向SE-C^2R模型 谱系聚类 区域创新 效率 随机收敛 

分 类 号：F127.6[经济管理—世界经济]