On the performance of universities in North Rhine-Westphalia, Germany: Government’s redistribution of funds judged using DEA efficiency measures

Fandel, Günter

doi:10.1016/j.ejor.2005.06.043

Cited by 107 publications

(57 citation statements)

References 11 publications

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“…Such high levels of efficiency are not necessarily usual, but also not unexpected with 70 decision making units and 7, respectively 12, indicators. For example, the results of Fandel [97] (2007, p. 527), detailing 10 out of 15 German universities within North Rhine-Westphalia as efficient, with a mean efficiency of 92.77%, by using two inputs and three outputs for the 15 DMU. Also, Johnes [98] (p. 281) reports a mean efficiency of 92.51% regarding 130 UK universities with six inputs and three outputs, also with the lowest individual university efficiency levels around 60%.…”

Section: Discussionmentioning

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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Section: Discussionmentioning

confidence: 99%

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

Klumpp

2018

Education Sciences

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“…In addition, the production function can be influenced by various factors which are beyond the control of the evaluated observation. Observed in: Taylor and Johnes (1989), Beasley (1990Beasley ( ) (1995, Kao and Yang (1992), Johnes and Johnes (1993, Sinuany et al (1994), , , Athanassopoulos and Shale (1997), , Haksever and Muriagishi (1998), McMillan and Datta (1998), Sarrico and Dyson (2000), Thursby (2000), Ying and Sung (2000), Avkiran (2001), Korhonen et al (2001), Abbott and Doucouliagos (2002) Koksal and Nalcaci (2006), McMillan and Chan (2006), Agasisti and Salerno (2007), Anderson et al (2007), Fandel (2007, Tauer et al (2007), , Johnes and Yu (2008), Kao and Hung (2008), Kuo and Ho (2008), Ray and Jeon (2008), Worthington and Lee (2008) (2010), Dehnokhalaji et al (2010), Kantabutra and Tang (2010), Katharaki and Katharakis (2010), Kempkes and Pohl (2010), Rayeni and Saljooghi (2010), Agasisti et al (2011Agasisti et al ( ) (2012, Johnes and Schwarzenberger (2011), Kounetas et al (2011), Kuah and Wong (2011), , Thanassoulis et al (2011), WolszczakDerlacz and Parteka (2011), Eff et al (2012), …”

Section: Determinants Of Efficiency In Educationmentioning

confidence: 99%

Efficiency in education: a review of literature and a way forward

Witte

López-Torres

2017

Journal of the Operational Research Society

303

122

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La sèrie Documents de treball d'economia de l'empresa presenta els avanços i resultats d'investigacions en curs que han estat presentades i discutides en aquest departament; això no obstant, les opinions són responsabilitat dels autors. El document no pot ser reproduït total ni parcialment sense el consentiment de l'autor/a o autors/res. Dirigir els comentaris i suggerències directament a l'autor/a o autors/res, a la direcció que apareix a la pàgina següent.A Working Paper in the Documents de treball d'economia de l'empresa series is intended as a mean whereby a faculty researcher's thoughts and findings may be communicated to interested readers for their comments. Nevertheless, the ideas put forwards are responsibility of the author. Accordingly a Working Paper should not be quoted nor the data referred to without the written consent of the author. Please, direct your comments and suggestions to the author, which address shows up in the next page. A p r i l 2 0 1 5 EFFICIENCY IN EDUCATION. A REVIEW OF LITERATURE AND A WAY FORWARD AbstractThis paper provides an extensive and comprehensive overview of the literature on efficiency in education. It summarizes the earlier applied inputs, outputs and contextual variables, as well as the used data sources of papers in the field of efficiency in education. Moreover, it reviews the papers on education that applied methodologies as Data Envelopment Analysis, Malmquist index, Bootstrapping, robust frontiers, metafrontier, or Stochastic Frontier Analysis. Based on the insights of the literature review, a second part of the paper provides some ways forward. It attempts to establish a link between the parametric 'economics of education' literature and the (semiparametric) 'efficiency in education literature'. We point to the similarities between matching and conditional efficiency; difference-in-differences and metafrontiers; and quantile regressions and partial frontiers. The paper concludes with some operative directions for prospective researchers in the field.

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“…Different to other methodologies, DEA is a frontier searching methodology and not focusing on central trends as is the case with regressions. Due to this facet, DEA proves effective in discovering relationships that remain hidden to other analytical methods given that DEA deals with multiple entrances and exits, contrary to regression that deals only with one output at a time (Sarrico & Dyson, 2000, Fandel, 2007.…”

Section: Efficiency Analysismentioning

confidence: 99%

Portuguese state university performance according to students: an efficiency analysis

Mainardes

Alves

Raposo

2016

RBPAE

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Portuguese state university performance according to students: an efficiency analysis desempenho de universidades estaduais portuguesas de acordo com os estudantes: uma análise de eficiência actuación de universidades estatales portuguesas de acuerdo con los estudiantes: un análisis de eficiencia EMERSON WAGNER MAINARDES HELENA ALVES MÁRIO RAPOSOAbstract: The objective of this research project is to evaluate the performance of Portuguese state universities in accordance with the expectations and satisfactions of their students and through recourse to the DEA methodology and thus representing one of the very few studies analysing university performance based upon student perceptions. According to an output oriented Variable Returns to Scale model, handling the responses returned by 1,669 students, the results demonstrate that faculties generally attain a good relationship between student expectations and their levels of satisfaction. We furthermore conclude that university scale does not guarantee efficiency. Hence, irrespective of size, universities are able to ensure the satisfaction of their students. Finally, the results show that satisfying only certain expectations related to specific aspects does not prove sufficient to guaranteeing overall student satisfaction. The analysis also correspondingly finds that while some decision making units prove efficient in satisfying expectations on specific aspects, they fail to attain such efficiency in the overall perspective of students. _____________________________________________________________ Keywords: Data envelopment; higher education; student satisfaction; student expectations Resumen: El objetivo de este proyecto de investigación es evaluar la actuación de las universidades estatales portuguesas de acuerdo con las expectativas y satisfacciones de sus alumnos y a través del recurso a la metodología DEA y, por lo tanto, representar uno de los pocos estudios que analisan la actuación de las universidades, basados en la percepción discente. Los resultados demuestran que las facultades generalmente alcanzan una buena relación entre las expectativas de los alumnos y sus niveles de satisfacción, de acuerdo con una investigación orientada por un modelo de escala con resultados variables, basado en respuestas de 1.669 estudiantes. Concluimos, también, que la dimensión universitaria no garantiza eficiencia. Así, independientemente de su dimensión, las universidades son capaces de garantizar la satisfacción de sus alumnos. Finalmente, los resultados muestran que satisfacer solo determinadas expectativas relacionadas a aspectos específicos no prueba suficiencia para garantizar la satisfacción general de los alumnos. El análisis también concluye que, mientras algunas unidades tomam decisiones y muestran eficiencia en satisfacer expectativas en aspectos específicos, ellas fallan al alcanzar esta eficiencia en la percepción general de los estudiantes. _____________________________________________________________ Palabras clave: análisis envolvente de datos; enseñanza super...

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On the performance of universities in North Rhine-Westphalia, Germany: Government’s redistribution of funds judged using DEA efficiency measures

Cited by 107 publications

References 11 publications

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

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

Efficiency in education: a review of literature and a way forward

Portuguese state university performance according to students: an efficiency analysis

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