INVESTIGATING TECHNICAL AND SCALE EFFICIENCIES OF AUSTRALIAN UNIVERSITIES THROUGH DATA ENVELOPMENT ANALYSIS

By Necmi Kemal Avkiran. 2001

614 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/ae0a79df760151b40e4a149a2de41891374757c5

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In Economics and Econometrics

1. Li Yu
2. M. Wijesiri
3. I-Shuo Chen
4. Othman Joumady
5. W. Chan
6. Hung-Yi Wu
7. Jui-Kuei Chen
8. L. Viganò

In Management Science and Operations Research

1. Li Yu
2. M. Wijesiri
3. I-Shuo Chen
4. Othman Joumady
5. W. Chan
6. Hung-Yi Wu
7. Jui-Kuei Chen
8. L. Viganò

Citations in the corpus

• Performance in European higher education: A non‐parametric production frontier approach (2005, methodology): “…features have inspired a number of authors who apply this methodology to evaluate performance of universities in one country:2 for example, Avkiran (2001) for Australia; Post and Spronk (1999), Johnes and Johnes (1993), Beasley (1995) and Lehmann and Warning (2002) for the United Kingdom;…”
• Efficiency in education: a review of literature and a way forward (2017, neutral): “…(1997) (1999) (2001) (2009), Madden et al (1997), Ray andMukherjee (1998), Ruggiero and Bretschneider (1998), Thursby (2000), Ying and Sung (2000), Avkiran (2001), Grosskopf and Moutray (2001), Abbott and Doucouliagos (2002) (2003) (2009), Fukuyama and Weber (2002), Moreno and Tadepali (2002),…”
• Efficiency of microfinance institutions in Sri Lanka: a two-stage double bootstrap DEA approach (2015, background): “Use of homogeneous samples in DEA is, therefore, important to obtainmeaningful results (Avkiran, 2001).”
• Data Envelopment Analysis and Its Application to the Measurement of Efficiency in Higher Education. (2006, neutral): “…reflects the Research Assessment Exercise quality rating and the number of research active staff and is therefore similar to the Quantum Research measure used by Avkiran 2001 in his study of Australian universities) is included to reflect both the quality and quantity of research output (RESEARCH).”
• Measuring the research performance of Chinese higher education institutions using data envelopment analysis (2008, background): “Evidence from HEI level studies suggests that mean technical efficiency varies from around 70 to 80% (Ahn & Seiford, 1993; Ng & Li, 2000) to well over 90% (Abbott & Doucouliagos, 2003; Ahn et al., 1989; Athanassopoulos & Shale,1997; Avkiran, 2001; Breu & Raab,1994; Johnes 2006a,b).”
• Ranking universities based on performance evaluation by a hybrid MCDM model (2012, background): “…to performance improvement (Birch, 1977; Shavelson et al., 1987; Windham, 1988; Johnes & Taylor, 1990; Cave et al., 1991; Borden, 1994; Dolence & Norris, 1994; Boatright, 1995; Avkiran, 2001; Hsieh, 2004; Strand, 2004; Sydman, 2003) and improved decision making in universities (Amiz, 2010).”
• Efficiency and Productivity Change in the English Higher Education Sector from 1996/97 to 2004/5 (2008, neutral): “The use of income to measure research output is now firmly rooted in the literature because of its ease of availability and because it measures, to some extent, the quality of research (Ahn et al 1989; Ahn & Seiford 1993; Avkiran 2001; Abbott & Doucouliagos 2003; Flegg et al 2004; Worthington & Lee ”
• University Efficiency: A Comparison and Consolidation of Results from Stochastic and Non‐stochastic Methods (2006, methodology): “Indeed, while the sensitivity of DEA results to model specification is well known (eg, Ahn and Seiford, 1993 ; Johnes, 1995 ; McMillan and Datta, 1998 ), disparate outcomes are typically not presented and the reconciliation of seemingly divergent results has seen relatively little attention in th”