摘要
科技创新是高技术产业发展的基础和核心动力,从投入和产出角度构建了高技术产业科技创新两阶段效率评价网络DEA模型.纵向维度上分析了浙江省大中小微型高技术企业,横向维度上比较了全省11个地市高技术产业科技创新效率.结果显示中型企业在知识创新阶段、小型微型企业在科技成果转化阶段的综合效率存在低效或者无效现象;全省高技术产业科技创新效率总体水平较低,区域间存在较大差异;不同规模和不同区域层面的高技术产业都存在知识创新阶段的综合效率高于科技成果转化阶段的综合效率现象.在此基础上,从创新资源配置、创新政策供给、创新平台建设等层面提出政策建议.
Scientific and technological innovation is the foundation and core driving force for the development of high-tech industry.From the perspective of input and output,the present paper constructs a two-stage efficiency evaluation network DEA model for high-tech industry.From a longitudinal perspective,the innovation efficiency on the large,medium,small and micro high-tech enterprises of Zhejiang province was analyzed;from a horizontal perspective,the high-tech industries in eleven cities were compared.The results show that there is overall inefficiency and ineffectiveness in medium-sized enterprises at the stage of knowledge innovation and smallµ-enterprises at the stage of scientific and technological achievements transformation;the overall level is low of scientific and technological innovation efficiency of high-tech industries in the province,and there are huge differences among regions;for high-tech industries at different regional levels,the comprehensive efficiency of the knowledge innovation stage is higher than that of the scientific and technological achievements.On this basis,the paper proposes such policy recommendations as innovation of resources allocation,innovation of policy supply and innovation of platform construction.
作者
邵青
周鸿勇
SHAO Qing;ZHOU Hongyong(Business School,Shaoxing University,Shaoxing,Zhejiang 312000)
出处
《绍兴文理学院学报》
2020年第5期73-81,共9页
Journal of Shaoxing University
基金
浙江省科技厅软科学课题“科技型小微企业创新能力评价及创新政策激励研究”(2015C35041)。
关键词
网络DEA模型
高技术产业
科技创新效率
network DEA model
high-tech industry
technological innovation efficiency
作者简介
邵青(1981-),男,安徽舒城人,绍兴文理学院商学院讲师,博士,研究方向:科技创新政策。E-mail:shaoqing2002@126.com;周鸿勇(1969-),男,浙江诸暨人,绍兴文理学院商学院教授,博士,研究方向:城市区域经济。
