Academic departments efficiency via DEA

Sinuany‐Stern, Zilla; Mehrez, Abraham; Barboy, Arieh

doi:10.1016/0305-0548(94)90103-1

Cited by 221 publications

(68 citation statements)

References 13 publications

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“…Furthermore, the analytical power of DEA is not affected by a smaller sample size, as long as the number of inputs is smaller than that sample size (Thiam et al 2001). Several studies have used DEA and DEA-based Malmquist productivity indices to examine relative efficiency and efficiency changes in the higher education system (Abbott and Doucouliagos 2002;Arcelus and Coleman 1997;Breu and Raab 1994;Johnes 2006;Sinuany-Stern et al 1994). The greatest distinction between higher education and primary or secondary education is the multi-dimensional nature of its inputs and outputs.…”

Section: Methodsmentioning

confidence: 99%

An evaluation of the dynamics of the plan to develop first-class universities and top-level research centers in Taiwan

Chang

Wu²,

Ching

et al. 2009

Asia Pacific Educ. Rev.

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The recent rise in globalization has brought forth a global wave of academic competitiveness, which has taken its strongest hold in East Asia. In order to attain world class status, Taiwan's Ministry of Education (MoE) initiated a project called Plan to Develop First-class Universities and Top-level Research Centers. The project is often coined the ''Five-Years-50-Billion Project,'' due to the fact that the MoE will invest 50 billion New Taiwan dollars (US$1.64 billion) in the plan over a five year span. First, the authors will attempt to investigate and analyze the difference in funding rationale and policy between the periods before and after implementation. Second, this study seeks to evaluate the plan's efficiency on an institutional level by using data envelopment analysis (DEA). Findings suggest that the current funding policy has indeed increased Taiwanese universities' levels of internationalization and global academic competitiveness. However, comparisons among those universities suggest that despite the relative degree of efficiency, more investment did not ensure better university performance. Guidelines for allocating funding should be regularly revised in order to reflect any changes in relevant conditions and in universities' overall performance and efficiency.

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Section: Methodsmentioning

confidence: 99%

An evaluation of the dynamics of the plan to develop first-class universities and top-level research centers in Taiwan

Chang

Wu²,

Ching

et al. 2009

Asia Pacific Educ. Rev.

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“…Athanassopoulos & Shale (1997) comparan 45 instituciones de educación superior en el Reino Unido, donde revisan la eficiencia técnica, obteniendo en la mayoría de las universidades una mala optimización de los recursos, por lo que realizan propuestas para maximizar la cantidad de alumnos graduados, así como mayor número de publicaciones de los profesores. Sinuany-Stern, Mehrez & Barboy (1994) ejecutaron un estudio de caso donde se evaluaron los departamentos académicos en la Universidad Ben-Gurion, a través del DEA, utilizando el modelo de Charnes, Cooper y Rhodes (CCR); se aplicó también un análisis de cluster para dividir los departamentos en varios conjuntos, Las universidades en México: una medida de su eficiencia a través del análisis de la envolvente de datos con bootstrap | José César Lenin Navarro Chávez, Rodrigo Gómez Monge, Zacarías Torres Hernández | pp. 60-69 observando que las áreas de ciencias sociales son más eficientes.…”

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Universities in Mexico: a measure of its efficiency through data envelopment analysis with bootstrap

Chávez

Monge

Hernández

2016

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“…C'est pourquoi, il est généralement convenu d'utiliser des indicateurs certes moins complets, mais plus simples à obtenir. Ainsi, les outputs éducatifs les plus souvent utilisés sont le nombre d'étudiants inscrits (Ahn, 1987), le nombre de diplômés (Sinuany-Stern et al, 1994) ou encore le nombre de crédits d'heures de cours par semestre (Sinuany-Stern et al, 1994).…”

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L’évaluation de l’efficience des institutions d’enseignement supérieur en Tunisie : le cas des Instituts Supérieurs des Études Technologiques (ISET)

Bouzouita

Vierstraete

Kouki

2014

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Dans cet article, nous évaluons l’efficience des Instituts supérieurs des études technologiques tunisiens (ISET) avec la méthode non paramétrique du Data Envelopment Analysis (DEA). Il ressort des résultats empiriques que le fonctionnement de ces établissements se caractérise par une inefficience technique de l’ordre de 20 %, pouvant s’expliquer à la fois par des problèmes de taille des établissements (inefficience d’échelle de 11 % environ) et par des problèmes de gestion (inefficience pure de l’ordre de 10 %). Les résultats montrent également qu’une majorité des ISET de notre échantillon fonctionnerait de façon optimale si leur échelle de production augmentait, ce qui peut se révéler des pistes de solutions pour les pouvoirs politiques voulant promouvoir le système éducatif supérieur en Tunisie.In this paper, we evaluate the technical efficiency of Tunisian higher institutes of technological studies (ISET) with a non-parametric method, the Data Envelopment Analysis (DEA). The results show that these institutions are characterized by technical inefficiency of around 20%, which can be explained both by an inaccurate size (scale inefficiency of 11%) and by management problems (pure inefficiency of around 10%). We also find that a majority of the ISET in our sample would operate optimally if they could increase their scale of production. This can be a way for policy makers who want to promote higher education in Tunisia

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Academic departments efficiency via DEA

Cited by 221 publications

References 13 publications

An evaluation of the dynamics of the plan to develop first-class universities and top-level research centers in Taiwan

An evaluation of the dynamics of the plan to develop first-class universities and top-level research centers in Taiwan

Universities in Mexico: a measure of its efficiency through data envelopment analysis with bootstrap

L’évaluation de l’efficience des institutions d’enseignement supérieur en Tunisie : le cas des Instituts Supérieurs des Études Technologiques (ISET)

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