河南科技资源配置效率评价研究  

Evaluation on Efficiency of Scientific and Technological Resource Allocation in Henan Province

作　　者：朱晓刚[1] 宋贤萍 Zhu Xiaogang;Song Xianping(School of Civil Engineering and Intelligent Construction,Zhengzhou Vocational University of Information and Technology,Zhengzhou 450008,China)

机构地区：[1]郑州信息科技职业学院建筑工程与智能建造学院,河南郑州450008

出　　处：《洛阳师范学院学报》2024年第5期48-52,共5页Journal of Luoyang Normal University

基　　金：河南省软科学研究计划项目(222400410482);河南省高等学校重点科研项目计划(24A790029);河南省职业教育教学改革研究与实践项目(豫教[2023]03224)。

摘　　要：为进一步提升河南科技资源配置效率,运用DEA-Malmquist指数模型,从静态和动态两个视角对河南17个地级市及济源示范区2012—2021年期间的科技资源配置效率进行测度.研究发现,从静态评价结果来看,河南科技资源配置综合技术效率平均值为0.739,不同地区之间存在差异,综合效率的提升主要依赖纯技术效率;从动态评价结果来看,河南全要素生产率整体呈波动上升态势,年平均增长率为16%,技术进步对其贡献最大.分地区来看,其中综合提高型的城市有10个,技术进步水平提高型的城市有7个,技术效率提高型的有1个.In order to further improve the efficiency of science and technology resource allocation in Henan Province,this research applies the DEA-Malmquist index model to analyze the efficiency in seventeen prefecture-level cities and Jiyuan demonstration area during 2012 to 2021 from both static and dynamic perspectives.The static evaluation results show that the average comprehensive technical efficiency is 0.739,and different regions present different efficiency.Meanwhile,the improvement of comprehensive efficiency mainly depends on pure technical efficiency.The dynamic evaluation results show that total factor productivity indicates a fluctuating upward trend with an average annual growth rate of 16%,which is mainly driven by technological improvements.Meanwhile,among the eighteen cities in different regions,there are ten cities featured with comprehensive improvement,seven cities with technological progress,and one city with technical efficiency.

关 键 词：科技资源配置 效率评价 DEA-Malmquist指数模型 

分 类 号：F224[经济管理—国民经济]