基于多层次分类DEA的高等院校科研效率评价

发布时间：2019-06-19 17:13

【摘要】：基于DEA对我国对高校投入产出绩效评价主要是利用经典DEA模型对高校相关科研、教学等活动以院系或学校进行计算和分析。然而,经典DEA模型采用Pareto-Koopmans的序关系,这种序关系下,每一个投入,产出的指标都被视做同等重要,不可相互补偿。其次,经典DEA模型还存在若评价单元有限的条件下,选取过多评价指标会出现区分度下降的问题。而在我国现实科研活动中,高校绩效评估体系已演变为一个复杂的、多目标的绩效评估体系,简单套用经典DEA模型容易导致评价结果偏差问题。本文针对我国高校覆盖自然科学、人文社会科学多个研究领域,不同学科有其自身学科特点,简单将高校各项数据加和进行整体科技投入绩效的分析存在忽略学科之间差异性和不可比性等问题,建构了多层次分类RD-DEA模型,并以教育部直属高校为例展开实证分析。评价结果显示,RD-DEA模型在允许高校突出显示自然科学和人文社会科学特点基础上,能够较好地体现评价中价值导向,同时还能兼顾现实高校科技评价多层次指标特点基础上依旧具有较好地辨识度,评价结果相对更加客观。
[Abstract]:Based on DEA, the input-output performance evaluation of colleges and universities in China is mainly based on the classical DEA model to calculate and analyze the related scientific research, teaching and other activities in colleges and universities. However, the classical DEA model adopts the order relation of Pareto-Koopmans, under which each input and output index is regarded as equally important and can not be compensated for each other. Secondly, the classical DEA model still has the problem that if the evaluation unit is limited, the discrimination degree will decrease if too many evaluation indexes are selected. In the real scientific research activities of our country, the performance evaluation system of colleges and universities has evolved into a complex and multi-objective performance evaluation system. Simply applying the classical DEA model can easily lead to the deviation of evaluation results. In view of the fact that colleges and universities in China cover many research fields of natural science, humanities and social sciences, and different disciplines have their own characteristics, this paper simply ignores the differences and incomparability between disciplines in the analysis of the overall investment performance of science and technology in colleges and universities, and constructs a multi-level classified RD-DEA model, and takes the colleges and universities directly under the Ministry of Education as an example to carry out an empirical analysis. The evaluation results show that the RD-DEA model can better reflect the value orientation in the evaluation on the basis of allowing colleges and universities to highlight the characteristics of natural science and humanities and social sciences, and at the same time, it can still have a good degree of identification on the basis of taking into account the characteristics of multi-level indicators of science and technology evaluation in colleges and universities, and the evaluation results are relatively more objective.
【作者单位】：华东师范大学公共管理学院华东师范大学科技创新与发展战略研究中心;英国肯特大学商学院;
【分类号】：G644

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