The Relative Efficiencies of Canadian Universities: A DEA Perspective

McMillan, Melville; Datta, Debasish

doi:10.2307/3552021

Cited by 126 publications

(96 citation statements)

References 20 publications

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“…While there are many studies on efficiency analysis of HE institutions in a single country (e.g. Abbott &Doucouliagos, 2003 andCarrington, et al, 2005 -Australia;Athanassopoulos &Shale, 1997, andJ.Johnes, 2006 -UK;Agasisti & Dal Bianco, 2006 -Italy;Warning, 2004 -Germany;McMillan & Datta, 1998-Canada, Martínez Cabrera, 2000, the literature on comparative analysis across different countries is still very limited. To the best of the authors' knowledge, there are only three streams of contributions on this specific issue.…”

Section: Introduction and Objectivesmentioning

confidence: 99%

Comparing efficiency in a cross-country perspective: the case of Italian and Spanish state universities

2009

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Esta es la versión de autor del artículo publicado en:This is an author produced version of a paper published in:Higher Education 59.1 (2010) each "country-specific" frontier; but when compared together, Italian universities seem relatively more efficient. Malmquist indexes show, in both cases, efficiency improvements in the period considered. In the Italian case, this improvement is due to major "technological changes"; that is, the introduction of some structural reforms in the sector (e.g. Bachelor/Master curricula). In the Spanish case, there is an improvement in "pure" efficiency, which is due to new funding models. Further stages of the study underline the role of "regional effects", probably due to different socio-economic conditions in Italy, and to the decentralization process in Spain.JEL classification: C14, H52, I21, I22

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Section: Introduction and Objectivesmentioning

confidence: 99%

Comparing efficiency in a cross-country perspective: the case of Italian and Spanish state universities

2009

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“…The underlying technique for efficiency measurement is the DEA introduced by Charnes, Cooper, and Rhodes [24] in the basic form with constant returns to scale (CRS) and extended by Banker, Charnes, and Cooper [25] with variable returns to scale (VRS). DEA applications within the higher education sector as a typical multi-input and multioutput production environment are numerous [26][27][28][29][30][31][32][33]. In addition, the Malmquist index for analysing longitudinal developments over time [34][35][36] has also been applied for universities, e.g., for the Philippines [37] and Australia [38].…”

Section: Introductionmentioning

confidence: 99%

The Index Number Problem with DEA: Insights from European University Efficiency Data

Klumpp

2018

Education Sciences

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An increasing effort has been put into dealing with the question of time-series analysis regarding institutional efficiency, including in the area of higher education. Universities are important institutions for economies and societies and are expected to provide excellence as well as efficiency in their processes and outputs. This is reflected in the context of an increased global competitive environment by more refined international university rankings. Combining the two areas, this paper points towards a methodological challenge in comparing different ranking datasets for their use in a data envelopment analysis (DEA) Malmquist index time-series efficiency analysis, namely, index-based data compared to additive data. The problem is discussed in a theoretical framework and complemented with an empirical application: calculations for 70 European universities with budget and staff input data and different ranking output data for the timeframe of 2011-2016 show that there is no evidence for a specific index data problem. Important implications regarding university management and higher education policies are outlined. Efficiency improvements among the analyzed universities are significant but also unevenly distributed and not easy to obtain for individual institutions.

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“…Kajian ini adalah berbeza daripada kajian kecekapan sedia ada yang hanya mengukur sama ada kecekapan teknik dan skala sahaja (Johnes & Yu 2008;Avkiran 2001;McMillan & Datta 1998) atau kecekapan kos sahaja. Ini kerana kajian ini bukan sahaja mengukur kecekapan teknik malah kajian ini turut mengasingkan komposisi kecekapan teknik kepada dua, iaitu kecekapan teknik tulen (Local Pure Technical Efficiency, LPTE) dan kecekapan teknik umum (General Technical Efficiency, GTE).…”

Section: Sumbangan Kajianunclassified