高校科技资源配置效率测度研究—基于共享投入关联网络DEA模型  

A study of efficiency measurement of S&T resource allocation in universities based on the relational network DEA model with shared inputs

作　　者：索玮岚[1] 陆桂昌 陈锐[1] 

机构地区：[1]中国科学院科技政策与管理科学研究所,北京100190

出　　处：《科研管理》2015年第11期155-161,共7页Science Research Management

基　　金：国家自然科学基金资助项目"考虑决策要素复杂关联情境的决策分析方法研究"(71301159;2014.01-2016.12);中国科学院科技政策与管理科学研究所重大研究任务A类项目专题"科技资源配置模式与机制研究"(Y201211Z07;2013.01-2015.12)

摘　　要：针对高校科技资源配置涉及中间产出再投入、各阶段之间存在共享投入型关联、投入产出时滞以及规模报酬差异的特点,本文首先设计了研究方案,选取了测度变量,并在可变规模报酬假设下构建了基于共享投入关联网络DEA的测度模型;然后,利用2006-2013年29所985高校的统计数据进行了实证研究,分别测度了各高校科技资源配置的整体纯技术效率和阶段纯技术效率,结果表明约34%的高校为高效型、约21%的高校为低效型、约45%的高校为失衡型,进而结合测度结果进行了分类比较分析,并给出了相应的效率提升建议。The ST resource allocation in universities involves re- input of intermediate outputs,relations with shared inputs among various phases,time lag between inputs and outputs,and difference of returns to scale. Considering these features,a research scheme is firstly designed. Measurement variables are selected and a measurement model based on the relational network DEA with shared inputs is constructed under the assumption of variable returns to scale. Then,an empirical study is conducted using statistical data from 2006 to 2013 from 29 universities designated for＂985 Project＂. Their overall and phased pure technical efficiencies are measured respectively. The results show that about 34% universities are high in efficiency,about 21% universities are low in efficiency,and about 45% universities are unbalanced. Furthermore,a classified comparison analysis is conducted according to the results and some advice is given to improve efficiency.

关 键 词：科技资源配置 效率测度 共享投入关联网络DEA 

分 类 号：F124.5[经济管理—世界经济]