摘要
首先将技术创新过程分为技术投入和成果转化两个阶段,然后采用两阶段DEA模型对全国31个省份2013—2018年的面板数据进行效率分析,最后采用灰色综合关联度的方法对其综合效率值的影响因素进行分析。分析结果表明,31个省份技术创新总体效率值并不高,第一阶段的平均效率值略高于第二阶段的平均效率值,影响每个省份创新效率值的投入产出指标不一样,提出要针对每个省份的不同影响指标采取不同的策略。
In this paper,the process of technical innovation is divided into two stages:technology input and achievement transformation.The efficiency of panel data of 31 provinces and cities in 2013 to 2018 is analyzed by using two-stage DEA model,and the influencing factors of comprehensive efficiency value are analyzed using grey comprehensive correlation degree method.The total efficiency value of technical innovation in 31 provinces and cities is not high,the average efficiency value in the first stage is slightly higher than the average efficiency value in the second stage,and the input-output indicators affecting the innovation efficiency value of each province and city are also different.Therefore,different strategies should be adopted according to the different impact indicators of each province and city.The results of the analysis can provide help for the future technological innovation progress of China’s science and technology industry.
作者
肖美丹
张文娟
田志强
XIAO Meidan;ZHANG Wenjuan;TIAN Zhigiang(College of Information and Management Science,Henan Agricultural University,Zhengzhou 450000;Department of Science and Technology,Henan Agricultural University,Zhengzhou 450000)
出处
《中国科技资源导刊》
2020年第5期78-88,共11页
China Science & Technology Resources Review
基金
教育部人文社会科学研究青年基金项目“物理-社会技术共演化视角的创业生态系统理论模式及其运行机制研究”(17YJC630117)
河南省哲学社会科学规划项目“基于物理-社会技术共演化的创业生态系统运行机制研究”(2017BJJ034)
2017年河南省青年骨干教师培养计划“创业生态系统理论模式研究”(2017GGJS038)。
关键词
技术创新
两阶段DEA模型
灰色综合关联度
技术创新效率
投入产出指标
technical innovation
two-stage DEA model
grey comprehensive correlation degree
technical innovation efficiency
input-output index
