基于因子分析与交叉DEA的国家自主创新效率评价——以山东半岛国家自主创新示范区为例  

Evaluation of National Independent Innovation Efficiency Based on FA-Cross DEA: A Case Study of Shandong Peninsula National Independent Innovation Demonstration Area

作　　者：贾永飞 白全民 王金颖 季小妹 Jia Yongfei;Bai Quanmin;Wang Jinying;Ji Xiaomei;Zhang Xueting(Qilu University of Technology(Shandong Academy of Sciences),Shandong Institute of science and technology development strategy,Jinan 250014,China)

机构地区：[1]齐鲁工业大学(山东省科学院)山东省科技发展战略研究所

出　　处：《科技管理研究》2020年第3期39-45,共7页Science and Technology Management Research

基　　金：国家社科基金后期资助项目“政府科技投入对企业技术创新的政策效应研究”(15FGL004);山东省社科规划项目“山东省科技创新发展指数评价研究”(17CZKJ17);山东省重点研发计划(软科学)项目“山东省高校、科研院所科研体制改革路径研究(2019RZC01001)

摘　　要：从科技创新投入与产出效率入手,构建国家自主创新示范区创新能力评价指标体系,将各指标按照投入和产出的性质进行分类,并用因子分析方法对其进行处理,最后利用交叉DEA模型评价山东半岛国家自主创新示范区中的6个高新技术开发区的科技创新效率,研究得出山东半岛国家自主创新效率是DEA有效,但其交叉效率水平仍处于中等水平,创新效率需进一步提高。Starting from the input and output efficiency of science and technology innovation, this paper constructs the evaluation index system of innovation ability of national independent innovation demonstration zone, classifies each index according to the nature of input and output, and processes it with the method of factor analysis. Finally, it uses the cross DEA model to evaluate the innovation efficiency of six high-tech development zones in Shandong Peninsula National Independent Innovation Demonstration Zone. The results show that the independent innovation efficiency of Shandong Peninsula is DEA effective, but its cross efficiency level is still in the middle level, and the innovation efficiency needs to be further improved.

关 键 词：国家自主创新示范区 创新效率 评价指标体系 因子分析法 交叉DEA模型 

分 类 号：F204[经济管理—国民经济]