Adjusting for the environment in DEA: a comparison of alternative models based on empirical data

Détails

ID Serval
serval:BIB_FE5D9D0005D6
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Adjusting for the environment in DEA: a comparison of alternative models based on empirical data
Périodique
Socio-Economic Planning Sciences
Auteur(s)
Huguenin J.-M.
ISSN
0038-0121
Statut éditorial
Publié
Date de publication
2015
Peer-reviewed
Oui
Volume
52
Pages
41-54
Langue
anglais
Résumé
Due to the existence of free software and pedagogical guides, the use of Data Envelopment Analysis (DEA) has been further democratized in recent years. Nowadays, it is quite usual for practitioners and decision makers with no or little knowledge in operational research to run their own efficiency analysis. Within DEA, several alternative models allow for an environmental adjustment. Four alternative models, each user-friendly and easily accessible to practitioners and decision makers, are performed using empirical data of 90 primary schools in the State of Geneva, Switzerland. Results show that the majority of alternative models deliver divergent results. From a political and a managerial standpoint, these diverging results could lead to potentially ineffective decisions. As no consensus emerges on the best model to use, practitioners and decision makers may be tempted to select the model that is right for them, in other words, the model that best reflects their own preferences. Further studies should investigate how an appropriate multi-criteria decision analysis method could help decision makers to select the right model.
Mots-clé
Data envelopment analysis, Environmental variables, Comparison, Empirical data
Création de la notice
10/11/2015 16:22
Dernière modification de la notice
20/08/2019 16:28
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