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Methodological problems to measure university efficiency in relation withs its geographic localization

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dc.creator García Aracil, Adela
dc.creator Palomares Montero, Davinia
dc.date 2008-04-16T12:33:08Z
dc.date 2008-04-16T12:33:08Z
dc.date 2008
dc.date.accessioned 2017-01-31T01:02:27Z
dc.date.available 2017-01-31T01:02:27Z
dc.identifier INTED2008 Proceedings
dc.identifier 978-84-612-0190-7
dc.identifier http://hdl.handle.net/10261/3625
dc.identifier.uri http://dspace.mediu.edu.my:8181/xmlui/handle/10261/3625
dc.description Trabajo presentado a la 2nd International Technology, Education and Development Conference celebrada en Valencia (España) del 3 al 5 de Marzo de 2008.
dc.description This paper examines data on Spanish Public Universities for 2002 to 2004 to determine the geographical location of the most efficient universities, that is, we aim to identify whether the universities located in the richest regions are more efficient than those in the poorest regions. We employ Data Envelopment Analysis (DEA), a robust nonparametric frontier technique, that enables us to benchmark and rank decision-making units. DEA applies multiple inputs and outputs to measure the efficiency of the universities. The results on whether there is a relation between university efficiency and the wealth of the region show that the richest regions have more higher education institutions, universities and that the universities located in rich regions are more efficient than those in poor regions.
dc.description Peer reviewed
dc.format 137523 bytes
dc.format application/pdf
dc.language eng
dc.publisher International Association of Technology, Education and Development
dc.relation Publisher's version
dc.rights openAccess
dc.subject Productivity
dc.subject Efficiency
dc.subject Higher Education
dc.subject University
dc.subject Nonparametric technique
dc.subject Data Envelopment
dc.title Methodological problems to measure university efficiency in relation withs its geographic localization
dc.type Comunicación de congreso


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