基于多層次分類DEA的高等院校科研效率評價
發(fā)布時間:2019-06-19 17:13
【摘要】:基于DEA對我國對高校投入產(chǎn)出績效評價主要是利用經(jīng)典DEA模型對高校相關(guān)科研、教學(xué)等活動以院系或?qū)W校進(jìn)行計算和分析。然而,經(jīng)典DEA模型采用Pareto-Koopmans的序關(guān)系,這種序關(guān)系下,每一個投入,產(chǎn)出的指標(biāo)都被視做同等重要,不可相互補償。其次,經(jīng)典DEA模型還存在若評價單元有限的條件下,選取過多評價指標(biāo)會出現(xiàn)區(qū)分度下降的問題。而在我國現(xiàn)實科研活動中,高?冃гu估體系已演變?yōu)橐粋復(fù)雜的、多目標(biāo)的績效評估體系,簡單套用經(jīng)典DEA模型容易導(dǎo)致評價結(jié)果偏差問題。本文針對我國高校覆蓋自然科學(xué)、人文社會科學(xué)多個研究領(lǐng)域,不同學(xué)科有其自身學(xué)科特點,簡單將高校各項數(shù)據(jù)加和進(jìn)行整體科技投入績效的分析存在忽略學(xué)科之間差異性和不可比性等問題,建構(gòu)了多層次分類RD-DEA模型,并以教育部直屬高校為例展開實證分析。評價結(jié)果顯示,RD-DEA模型在允許高校突出顯示自然科學(xué)和人文社會科學(xué)特點基礎(chǔ)上,能夠較好地體現(xiàn)評價中價值導(dǎo)向,同時還能兼顧現(xiàn)實高校科技評價多層次指標(biāo)特點基礎(chǔ)上依舊具有較好地辨識度,評價結(jié)果相對更加客觀。
[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.
【作者單位】: 華東師范大學(xué)公共管理學(xué)院華東師范大學(xué)科技創(chuàng)新與發(fā)展戰(zhàn)略研究中心;英國肯特大學(xué)商學(xué)院;
【分類號】:G644
[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.
【作者單位】: 華東師范大學(xué)公共管理學(xué)院華東師范大學(xué)科技創(chuàng)新與發(fā)展戰(zhàn)略研究中心;英國肯特大學(xué)商學(xué)院;
【分類號】:G644
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