Higher education efficiency frontier analysis: A review of variables to consider

Autores
Ferro, Gustavo Adolfo; D'Elia, Vanesa
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The measurement of efficiency in higher education has gained a growing interest in recent years, especially due to the expansion of the university system. This paper provides a review of the literature on efficiency in higher education institutions by covering empirical articles which applied frontier efficiency measurement techniques from 1997 to 2019. We review the methodological approaches used, both parametric and non-parametric techniques, such as Data Envelopment Analysis, Malmquist index and Stochastic Frontier Analysis. Secondly, we list the applied inputs, input prices, outputs, quality, and environment variables and based on the overview, we discuss the advantages and drawbacks of the different empirical proxy variables used. We address the importance of characterizing students and research funding as raw materials of both the teaching and research services, respectively, and we provide suggestions on how to deal with them empirically. We also discuss the difference between quality and environmental variables, and we give some practical indications to distinguish them in doubtful cases.
Fil: Ferro, Gustavo Adolfo. Universidad del Cema. Departamento de Economía; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: D'Elia, Vanesa. Universidad del Cema; Argentina
Materia
DATA ENVELOPMENT ANALYSIS
EFFICIENCY FRONTIERS REVIEW
STOCHASTIC FRONTIER ANALYSIS
UNIVERSITY EFFICIENCY
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/171011
Acceder
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Higher education efficiency frontier analysis: A review of variables to considerFerro, Gustavo AdolfoD'Elia, VanesaDATA ENVELOPMENT ANALYSISEFFICIENCY FRONTIERS REVIEWSTOCHASTIC FRONTIER ANALYSISUNIVERSITY EFFICIENCYhttps://purl.org/becyt/ford/5.2https://purl.org/becyt/ford/5The measurement of efficiency in higher education has gained a growing interest in recent years, especially due to the expansion of the university system. This paper provides a review of the literature on efficiency in higher education institutions by covering empirical articles which applied frontier efficiency measurement techniques from 1997 to 2019. We review the methodological approaches used, both parametric and non-parametric techniques, such as Data Envelopment Analysis, Malmquist index and Stochastic Frontier Analysis. Secondly, we list the applied inputs, input prices, outputs, quality, and environment variables and based on the overview, we discuss the advantages and drawbacks of the different empirical proxy variables used. We address the importance of characterizing students and research funding as raw materials of both the teaching and research services, respectively, and we provide suggestions on how to deal with them empirically. We also discuss the difference between quality and environmental variables, and we give some practical indications to distinguish them in doubtful cases.Fil: Ferro, Gustavo Adolfo. Universidad del Cema. Departamento de Economía; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: D'Elia, Vanesa. Universidad del Cema; ArgentinaCzech University of Life Sciences2020-09-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/171011Ferro, Gustavo Adolfo; D'Elia, Vanesa; Higher education efficiency frontier analysis: A review of variables to consider; Czech University of Life Sciences; Journal on Efficiency and Responsibility in Education and Science; 13; 3; 30-9-2020; 140-1532336-23751803-1617CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.eriesjournal.com/index.php/eries/article/view/311info:eu-repo/semantics/altIdentifier/doi/10.7160/eriesj.2020.130304info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:31:29Zoai:ri.conicet.gov.ar:11336/171011instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:31:29.677CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Higher education efficiency frontier analysis: A review of variables to consider
title Higher education efficiency frontier analysis: A review of variables to consider
spellingShingle Higher education efficiency frontier analysis: A review of variables to consider
Ferro, Gustavo Adolfo
DATA ENVELOPMENT ANALYSIS
EFFICIENCY FRONTIERS REVIEW
STOCHASTIC FRONTIER ANALYSIS
UNIVERSITY EFFICIENCY
title_short Higher education efficiency frontier analysis: A review of variables to consider
title_full Higher education efficiency frontier analysis: A review of variables to consider
title_fullStr Higher education efficiency frontier analysis: A review of variables to consider
title_full_unstemmed Higher education efficiency frontier analysis: A review of variables to consider
title_sort Higher education efficiency frontier analysis: A review of variables to consider
dc.creator.none.fl_str_mv Ferro, Gustavo Adolfo
D'Elia, Vanesa
author Ferro, Gustavo Adolfo
author_facet Ferro, Gustavo Adolfo
D'Elia, Vanesa
author_role author
author2 D'Elia, Vanesa
author2_role author
dc.subject.none.fl_str_mv DATA ENVELOPMENT ANALYSIS
EFFICIENCY FRONTIERS REVIEW
STOCHASTIC FRONTIER ANALYSIS
UNIVERSITY EFFICIENCY
topic DATA ENVELOPMENT ANALYSIS
EFFICIENCY FRONTIERS REVIEW
STOCHASTIC FRONTIER ANALYSIS
UNIVERSITY EFFICIENCY
purl_subject.fl_str_mv https://purl.org/becyt/ford/5.2
https://purl.org/becyt/ford/5
dc.description.none.fl_txt_mv The measurement of efficiency in higher education has gained a growing interest in recent years, especially due to the expansion of the university system. This paper provides a review of the literature on efficiency in higher education institutions by covering empirical articles which applied frontier efficiency measurement techniques from 1997 to 2019. We review the methodological approaches used, both parametric and non-parametric techniques, such as Data Envelopment Analysis, Malmquist index and Stochastic Frontier Analysis. Secondly, we list the applied inputs, input prices, outputs, quality, and environment variables and based on the overview, we discuss the advantages and drawbacks of the different empirical proxy variables used. We address the importance of characterizing students and research funding as raw materials of both the teaching and research services, respectively, and we provide suggestions on how to deal with them empirically. We also discuss the difference between quality and environmental variables, and we give some practical indications to distinguish them in doubtful cases.
Fil: Ferro, Gustavo Adolfo. Universidad del Cema. Departamento de Economía; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: D'Elia, Vanesa. Universidad del Cema; Argentina
description The measurement of efficiency in higher education has gained a growing interest in recent years, especially due to the expansion of the university system. This paper provides a review of the literature on efficiency in higher education institutions by covering empirical articles which applied frontier efficiency measurement techniques from 1997 to 2019. We review the methodological approaches used, both parametric and non-parametric techniques, such as Data Envelopment Analysis, Malmquist index and Stochastic Frontier Analysis. Secondly, we list the applied inputs, input prices, outputs, quality, and environment variables and based on the overview, we discuss the advantages and drawbacks of the different empirical proxy variables used. We address the importance of characterizing students and research funding as raw materials of both the teaching and research services, respectively, and we provide suggestions on how to deal with them empirically. We also discuss the difference between quality and environmental variables, and we give some practical indications to distinguish them in doubtful cases.
publishDate 2020
dc.date.none.fl_str_mv 2020-09-30
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/171011
Ferro, Gustavo Adolfo; D'Elia, Vanesa; Higher education efficiency frontier analysis: A review of variables to consider; Czech University of Life Sciences; Journal on Efficiency and Responsibility in Education and Science; 13; 3; 30-9-2020; 140-153
2336-2375
1803-1617
CONICET Digital
CONICET
url http://hdl.handle.net/11336/171011
identifier_str_mv Ferro, Gustavo Adolfo; D'Elia, Vanesa; Higher education efficiency frontier analysis: A review of variables to consider; Czech University of Life Sciences; Journal on Efficiency and Responsibility in Education and Science; 13; 3; 30-9-2020; 140-153
2336-2375
1803-1617
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.eriesjournal.com/index.php/eries/article/view/311
info:eu-repo/semantics/altIdentifier/doi/10.7160/eriesj.2020.130304
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Czech University of Life Sciences
publisher.none.fl_str_mv Czech University of Life Sciences
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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