摘要
本文首先根据科技资源的特点,构建了科技资源投入和产出的指标体系,建立了科技创新资源配置效率的评价模型。然后,运用数据包络分析(Data Envelopment Analysis,DEA)方法,从效率、有效性和规模收益3个方面对我国31个省市自治区的科技创新资源配置进行了分析和评价。最后,对22个非DEA有效的地区进行了"投影"目标分析,分析表明,这些地区可以通过加强管理、增强活力来提高生产水平。本文提出了科技创新资源配置效率的改进建议,为决策层提供管理信息和决策依据,这对区域创新能力的提升具有重要的现实意义。
This paper constructs the index system of input and output of science and technology resources,and establishes the model for evaluation of the allocation efficiency of science and technology innovation resources according to the characteristics of science and technology resources.Then,uses the data envelopment analysis(DEA)method to analyze and evaluate the allocation of science and technology innovation resources of China’s 31 provinces from the 3 aspects of efficiency,effectiveness and scale income.Finally,analyzes the"projection"targets of 22 non-DEA effective regions.The analysis shows that these regions can improve the production level by strengthening management and enhancing vitality.The paper puts forward the suggestions for improving the allocation efficiency of scientific and technological innovation resources,to provide management information and decision-making basis for decision-makers,which has the important practical significance for the promotion of regional innovation ability.
作者
章培军
陈恒
ZHANG Peijun;CHEN Heng(School of Science,Xijing University,Xi'an 710123)
出处
《科技促进发展》
CSCD
2020年第11期1317-1324,共8页
Science & Technology for Development
基金
2018年国家自然科学基金天元数学访问学者项目(11726624):混沌系统的分析与控制,负责人:王震
2019年陕西省教育厅科学研究计划项目(19JK0906):时滞传染病模型的动力学分析和分岔控制,负责人:章培军
2018年陕西省科学技术厅重点研发计划项目(2018GY-091):低温等离子体-催化工业废气处理关键工程技术,负责人:陈恒
关键词
数据包络分析
C^(2)R模型
科技创新
资源配置
创新能力
data envelopment analysis(DEA)
C^(2)R model
science and technology innovation
resource allocation
innovation ability
