摘要
根据传统DEA方法进行科研效率评价时所存在的问题,以面向科研过程的方式,分解了具有复杂内部结构的科研类决策单元,提出了基于DEA的多阶嵌套评估模型,用以评价研究机构的科研绩效。该方法克服了传统DEA方法评估科研绩效大面积有效的情形,从更深层面挖掘影响科研绩效的因素,为优化科研管理,提升科研绩效提供有力分析工具。最后,通过对国家计量院13个专业所的科研绩效进行评估来验证模型的合理性与有效性。
According to the problems existing in the traditional data envelopment analysis(DEA)method using in scientific research(S&R)performance evaluation,this paper proposes a new multi-stage nested evaluation model based on DEA in a research-oriented way.In this new model,S&R decision making unit(DMU)of complicated internal structure is decomposited.This model solves the problems that,large scale of S&R performance evaluation results remain efficiency in traditional DEA method.And also,it can find the influential factors of S&R efficiency from a deeper level,in order to provide analysis tools for optimizing S&R management and promoting S&R performance.Finally,an empirical case about S&R performance evaluation of the national institute of metrology(NIM)is introduced to verify the rationality and validity of the model in this paper.
作者
任孝平
杨云
杨东
苏爽
周小林
REN Xiaoping;YANG Yun;YANG Dong;SU Shuang;ZHOU Xiaolin(Department of International Evaluation and Research,National Center for Science&Technology Evaluation,Beijing 100081;Department of Research and Science Management,National Institute of Metrology,Beijing 100029)
出处
《中国科技资源导刊》
2020年第2期53-61,共9页
China Science & Technology Resources Review
基金
中国计量科学研究探索性科技项目“基于大数据挖掘的院科研网络中心度初步研究”(AKYCX1703)
“院科研成果竞争能力初探与分析”(AKYCX1801)。
关键词
多阶嵌套模型
DEA方法
科研过程分解
科研效率
绩效评估
multi-stage nested model
DEA method
S&R procedure decomposition
scientific research efficiency
performance evaluation
