An Experiment in the Use of Data Envelopment Analysis for Evaluating the Efficiency of Uk University Departments of Accounting

Tomkins, Cyril; Green, Rodney

doi:10.1111/j.1468-0408.1988.tb00296.x

Cited by 81 publications

(39 citation statements)

References 11 publications

(7 reference statements)

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“…In the same way, Sinuany‐Stern et al. (1994), Tomkins and Green (1988) and Kwimbere (1987) consider it to be an output. However, Beasley (1990) considers it to be an input of research activity because, although the success of a department in attracting research income is important, it is more important to evaluate the effectiveness with which a department converts this input (monetary value) into an output of increased knowledge.…”

Section: Methodsmentioning

confidence: 99%

University Efficiency: Complementariness versus Trade‐off between Teaching, Research and Administrative Activities

Rubio¹,

Mas‐Ruiz²,

Casado‐Díaz³

2010

Higher Education Quarterly

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University managers should be aware of the importance that efficiency has for their own universities, orientating their actions towards research and teaching excellence.This study estimates teaching and research efficiency of the different departments of a university and tests the complementariness versus trade-off between them.The results obtained show high levels of efficiency for the departments analysed, which is important for budget allocation, as one of the main challenges faced by a university is the allocation of budgets to different departments. The results also support the trade-off between teaching efficiency and research activity, the complementariness between teaching efficiency and research efficiency, between research efficiency and time deducted from teaching, as well as the complementariness between research efficiency and administration activity.Higher Education Quarterly, 0951-5224

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Section: Methodsmentioning

confidence: 99%

University Efficiency: Complementariness versus Trade‐off between Teaching, Research and Administrative Activities

Rubio¹,

Mas‐Ruiz²,

Casado‐Díaz³

2010

Higher Education Quarterly

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“…The downside is that DEA is based on deterministic assumptions and makes no allowance for stochastic errors. DEA has frequently been applied in the education context (Tomkins and Green, 1988;Ahn et al, 1989;Beasley, 1990Beasley, , 1995Johnes, 1992, 1993;Ahn and Seiford, 1993;El-Mahgary and Lahdelma, 1995;Athanassopoulos and Shale, 1997;Madden et al, 1997;Sarrico et al, 1997;Coelli et al, 1998;Sarrico and Dyson, 2000;Avkiran, 2001;Korhonen et al, 2001;Abbott and Doucouliagos, 2003;Johnes, 2006b).…”

Section: Approaches To Efficiency Measurementmentioning

confidence: 99%

Measuring Efficiency: A Comparison of Multilevel Modelling and Data Envelopment Analysis in the Context of Higher Education

Johnes

2006

Bulletin of Econ Res

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Data envelopment analysis (DEA) and multilevel modelling (MLM) are applied to a data set of 54,564 graduates from UK universities in 1993 to assess whether the choice of technique affects the measurement of universities' performance. A methodology developed by Thanassoulis and Portela (2002; Education Economics, 10(2), pp. 183-207) allows each individual's DEA efficiency score to be decomposed into two components: one attributable to the university at which the student studied and the other attributable to the individual student. From the former component, a measure of each institution's teaching efficiency is derived and compared to the university effects from various multilevel models. The comparisons are made within four broad subjects: pure science, applied science, social science and arts. The results show that the rankings of universities derived from the DEA efficiencies which measure the universities' own performance (i.e., having excluded the efforts of the individuals) are not strongly correlated with the university rankings derived from the university effects of the multilevel models. The data were also used to perform a university-level DEA. The university efficiency scores derived from these DEAs are largely unrelated to the scores 75 from the individual-level DEAs, confirming a result from a smaller data set (Johnes, 2006a; European Journal of Operational Research, forthcoming). However, the university-level DEAs provide efficiency scores which are generally strongly related to the university effects of the multilevel models.

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“…Some approaches use the whole university as a DMU (Avrikan, 2001;Melville & Debasish, 1998;Rhodes & Southwick, 1986). On the other side, some studies have used departments as DMUs (Harris, 1990;Kwimbere, 1987;Martín, 2006;Tomkins & Green, 1988). Moreover, other authors use DEA to measure teaching and research performance in HEIs (Abbott & Doucouliagos, 2003) The structure of DEA models differs mainly according to their purpose.…”

Section: Measuring Efficiency In Educationmentioning

confidence: 99%

Efficiency at Faculties of Economics in the Czech Public Higher Education Institutions: Two Different Approaches

Flégl¹,

Vltavská²

2013

IES

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The paper evaluates research and teaching efficiency at faculties of economics in the public higher education institutions in the Czech Republic. Evaluation is provided in two periods between the years 2006-2010 and 2007-2011. For this evaluation the Data Envelopment Analysis and Index approach are used. Data Envelopment Analysis measures research efficiency according to weighted inputs (average wages of academic staff, number of academic staff, and average number of students) to weighted output (RIV points). Teaching efficiency is measured according to weighted output (average number of absolvents). Index approach compares changes between productivity measured in two different ways (RIV points per academic staff, number of students per academic staff) and changes between average wages adjusted of average inflation rate. Although we evaluate research and teaching efficiency with different approaches, some similiraties can be found. Therefore, the detailed comparison of the results is provided. For the analysis we use data from the Ministry of Education, Youth and Sports (MŠMT) and from the Research, Development and Innovation Council (RVVI).

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An Experiment in the Use of Data Envelopment Analysis for Evaluating the Efficiency of Uk University Departments of Accounting

Cited by 81 publications

References 11 publications

University Efficiency: Complementariness versus Trade‐off between Teaching, Research and Administrative Activities

University Efficiency: Complementariness versus Trade‐off between Teaching, Research and Administrative Activities

Measuring Efficiency: A Comparison of Multilevel Modelling and Data Envelopment Analysis in the Context of Higher Education

Efficiency at Faculties of Economics in the Czech Public Higher Education Institutions: Two Different Approaches

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