Implications of variant efficiency measures for policy evaluations in UK higher education

Glass, J. Colin; McCallion, Gillian; McKillop, Donal; Rasaratnam, Syamarlah; Stringer, Karl S.

doi:10.1016/j.seps.2004.10.004

Cited by 59 publications

(14 citation statements)

References 39 publications

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“…2.3.4 Size. Previous research has shown that institutional size is an important determinant of university efficiency (Brinkman and Leslie, 1986;Daraio et al, 2015;Glass et al, 2006;Ng and Li, 2009;Thai and Noguchi, 2021;Thanassoulis et al, 2011;Wolszczak-Derlacz and Parteka, 2011). Institutional size is a significant factor in efficiency (Wolszczak-Derlacz and Parteka, 2011).…”

Section: Inputs and Outputsmentioning

confidence: 98%

Examination of research efficiency of research universities in Türkiye by data envelopment analysis

Maral

2023

IJEM

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PurposeThe purpose of this study is to examine the research efficiency of the research universities in Türkiye and to identify potential areas for improvement and to examine the factors affecting efficiency.Design/methodology/approachFor this purpose, data envelopment analysis was conducted with the output-oriented Banker, Charnes and Cooper (BCC) model with five-year article and citation counts data of 23 universities which were obtained from the Web of Science Core Collection.FindingsThe findings of the study show that only eight research universities are efficient. There are areas of development for universities to be effective. In addition, the findings of the regression analysis conducted to reveal the determinants of efficiency revealed significant results.Research limitations/implicationsResearch universities in Türkiye should allocate their resources in a way to increase research performance. Policies should be developed to increase the number of publications and, more importantly, the quality of publications.Originality/valuePotential areas for improvement were identified for the universities to become efficient. The results revealed that both publication quality and productivity need to be improved, but there is more room for improvement in publication quality. Regression analysis with the determinants of efficiency scores shows that the development level of the region where the universities are located has a positive effect on the research efficiency of universities. In addition, it is concluded that smaller universities have better efficiency scores.

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Section: Inputs and Outputsmentioning

confidence: 98%

Examination of research efficiency of research universities in Türkiye by data envelopment analysis

Maral

2023

IJEM

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“…In contrast, Breu et al (1994) selection of the 25 top ranked 1992 U.S. national universities produced a minimum efficiency score of only 87%. Athannassapoulos and Shale (1997) and Glass et al (2006) report substantially different efficiency scores among their samples of United Kingdom universities; the range being 0.37-1.0 for 52 universities during the 1992 academic year and 0.14-1.0 for 98 universities operating in the 1996 academic year, respectively. According to Avkiran (2001), the 36 sampled Australian universities appear more efficient with a 0.82-1.0 efficiency range during 1995-96.…”

Section: Literature Backgroundmentioning

confidence: 98%

Data Envelopment Analysis of Productivity Changes in Higher Education For-profit Enterprises Compared to Non-profits

Sav¹

2012

IBR

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Data envelopment analysis is used to compare private for-profit colleges to publicly owned colleges in terms of their operating efficiency and productivity. Academic year 2005-09 panel data is used for two-year institutions in the U.S. Results indicate that for-profit efficiency exceeded that of public colleges. Malmquist index results show that colleges in both sectors increased managerial and scale efficiencies, but that both were hindered by technological regress to the extent that overall productivity declined. 2007-08 created efficiency declines across the board, but for-profits managed large technological gains that produced the only annual productivity improvement for either sector. The results are important for better understanding the increasing privatization of higher education through the entry of for-profit institutions and for understanding the inter-sector differential effects and responses to the global financial crisis.

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“…La tabla 1 muestra las cifras de la cantidad de artículos producidos según a quien se destinan: (Azma, 2010;Cabral & Huet, 2012;Cantú, Bustani, Molina, & Moreira, 2009;Hackett, 2005;Mryglod, Kenna, Holovatch, & Berche, 2012;Yu, Hamid, Ijab, & Soo, 2009) (Eisenmann, 2004;Harvey, Community, & Studies, 2002;Mirowski & Horn, 2005) REVISAR LA PRODUCTIVIDAD POR FACULTAD (Fairweather, 2002;Hesli & Lee, 2011;Na Wichian, Wongwanich, & Bowarnkitiwong, 2009;Rothausen-Vange, Marler, & Wright, 2005;Tien, 2007) (Lacetera, 2009;Wei, Cheng, & Zhao, 2007) Fuente: elaboración propia con base en búsquedas en SCOPUS y JStor realizadas hasta el 27/02/2013. (Abolghassemi & Jouyban, 2011;Broadhead & Howard, 1998;Frey, 2007;Adela García-Aracil & Palomares-Montero, 2010;Gómez, Bordons, Fernández, & Morillo, 2008;Jansen, Wald, Franke, Schmoch, & Schubert, 2007;Miguel et al, 2008;Nederhof, 2006;Valadkhani & Worthington, 2006;Van Raan, 2006a;Wootton, 2013) REVISAR LAS POLÍTICAS DE INTERVENCIÓN (Chu, 2003;Coccia, 2008;Colin Glass, McCallion, McKillop, Rasaratnam, & Stringer, 2006;Grossman, Reid, & Morgan, 2001;Hayashi & Tomizawa, 2006;Martín-Sempere, Rey-Rocha, & Garzón-García, 2002;…”

Section: Formas De Abordar La Evaluación Del Desempeño De Actividades Científicasunclassified

“…• La relación de la evaluación y la financiación (Bernard, 2000;Braam & Van den Besselaar, 2010;Calver, Lilith, & Dickman, 2012;Colin Glass et al, 2006;Eisenmann, 2004;Ford & Merchant, 2008;Kim & Kaplan, 2010;Lin & Chiang, 2007;Martín-Sempere et al, 2008).…”

Section: Unidades De Medición Para La Evaluación Del Desempeño De Las Actividades Científicasunclassified

Modelos de evaluación del desempeño de las actividades científicas: casos Colombia y México

Berrío

Sánchez-Torres

Topete-Barrera

2014

Poli

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Este libro presenta un estudio comparativo de los principales organismos encargados del fomento de la Ciencia y la Tecnología y los modelos de evaluación de la actividad científica en Colombia y México en el contexto de las políticas globales de publicación. A través de la revisión minuciosa de importantes referentes de la literatura internacional el estudio muestra la inquietud que prevalece en los investigadores por conciliar las exigencias de productividad, con la pertinencia de sus publicaciones.El discurso de la producción científica es un discurso que da hegemonía al colectivo científico y que legitima las prácticas del gremio intelectual que existe en tanto se adscribe a los criterios, exigencias y lineamientos para poder publicar.Los autores reflexionan en los criterios que acentúan el centralismo en la producción científica, la propensión a publicar en el idioma inglés aún si no es la lengua materna de quien escribe, el uso del et al., que desconoce la aportación de los colaboradores y que desemboca en prácticas simuladas donde la escritura queda desprovista de toda libertad, autonomía e impacto social y predomina la alienación, la competitividad y el individualismo.

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Implications of variant efficiency measures for policy evaluations in UK higher education

Cited by 59 publications

References 39 publications

Examination of research efficiency of research universities in Türkiye by data envelopment analysis

Examination of research efficiency of research universities in Türkiye by data envelopment analysis

Data Envelopment Analysis of Productivity Changes in Higher Education For-profit Enterprises Compared to Non-profits

Modelos de evaluación del desempeño de las actividades científicas: casos Colombia y México

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