Assessing the performance of UK universities in the field of chemical engineering using data envelopment analysis

被引:11
|
作者
Gonzalez-Garay, Andres [1 ]
Pozo, Carlos [1 ]
Galan-Martin, Angel [2 ]
Brechtelsbauer, Clemens [1 ]
Chachuat, Benoit [1 ]
Chadha, Deesha [1 ]
Hale, Colin [1 ]
Hellgardt, Klaus [1 ]
Kogelbauer, Andreas [1 ]
Matar, Omar K. [1 ]
McDowell, Niall [1 ]
Shah, Nilay [1 ]
Guillen-Gosalbez, Gonzalo [2 ]
机构
[1] Imperial Coll London, Dept Chem Engn, London SW7 2AZ, England
[2] Swiss Fed Inst Technol, Inst Chem & Bioengn, Dept Chem & Appl Biosci, Vladimir Prelog Weg 1, CH-8093 Zurich, Switzerland
关键词
Data Envelopment Analysis; Chemical Engineering UK; Assessment of universities; Ranking of universities; EFFICIENCY; DEA; SIZE;
D O I
10.1016/j.ece.2019.06.003
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
University rankings have become an important tool to compare academic institutions within and across countries. Yet, they rely on aggregated scores based on subjective weights which render them sensitive to experts' preferences and not fully transparent to final users. To overcome this limitation, we apply Data Envelopment Analysis (DEA) to evaluate UK universities in the field of chemical engineering as a case study, using data retrieved from two national rankings. DEA is a non-parametric approach developed for the multi-criteria assessment of entities that avoids the use of subjective weightings and aggregated scores; this is accomplished by calculating an efficiency index, on the basis of which universities can be classified as either 'efficient' or 'Inefficient'. Our analysis shows that the Higher Education Institutions (HEI) occupying the highest positions in the chemical engineering rankings might not be the most efficient ones, and vice versa, which highlights the need to complement the use of rankings with other analytical tools. Overall, DEA provides further insight into the assessment of HEIs, allowing institutions to better understand their weaknesses and strengths, while pinpointing sources of inefficiencies where improvement efforts must be directed. (C) 2019 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.
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页码:29 / 41
页数:13
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