产学研协同创新效率评价及影响因素分析

发布时间：2017-12-26 20:07

本文关键词：产学研协同创新效率评价及影响因素分析　出处：《统计与决策》2017年14期 　论文类型：期刊论文

【摘要】：文章基于DEA-Tobit两步法对我国产学研协同创新效率进行评价和影响因素分析。得出如下结论:我国多数省份产学研协同创新活动距离生产前沿面有距离。省际对比看,创新效率最高的江苏、广东技术超效率值分别为1.535和1.466,上海产学研协同创新纯技术效率有效,而规模无效,其他省域纯技术和规模都无效。区域对比看,东部地区产学研协同创新技术效率、纯技术效率和规模效率最高,中西部地区次之。"地区经济发展水平"、"政府对企业资助力度"、"政府对高等学校资助力度"等因素均与创新效率呈现较显著的正向相关关系。
[Abstract]:This article is based on the DEA-Tobit two step method to evaluate the efficiency of the collaborative innovation of China's domestic research institute and the analysis of the influencing factors. The conclusions are as follows: in most of China's provinces, the collaborative innovation activities of production, education and research are distance from the production front. Inter provincial comparison shows that the highest efficiency of technology and technology in Jiangsu and Guangdong is 1.535 and 1.466 respectively. The efficiency of Shanghai industry university research collaborative innovation is effective, while the scale is invalid, and the other provinces' pure technology and scale are invalid. Regional comparison shows that the technological efficiency, the pure technical efficiency and the scale efficiency of the cooperative innovation in the eastern region are the highest, and the central and western regions are the next. The factors such as "the level of regional economic development", "the government's support for enterprises", "the government's support for colleges and universities" and other factors have a significant positive correlation with the innovation efficiency.
【作者单位】：山东师范大学经济学院;山东财经大学管理科学与工程学院;
【基金】：教育部人文社会科学研究青年基金资助项目(14YJCZH164) 山东师范大学青年科技项目培育基金(2015028);山东师范大学研究生教育创新计划(SDNUYY1604) 济南市软科学研究计划(201401416)
【分类号】：F224;F273.1
【正文快照】： 合作效率进行评价。国内的研究对象更为广泛,包括全国0引言范围内的不同省份和高校、行业及某一区域范围内的产学研合作效率评价。研究方法以数据包络分析(DEA)相关随着协同创新成为中国创新体系中的重要组成部分,方法为主,还有随机前沿分析(SFA)等方法。本文采用产学研合作逐

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