The measurement of relative efficiency using data envelopment analysis with assurance regions that link inputs and outputs
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.14/5359 |
Resumo: | The most popular weight restrictions are assurance regions (ARs), which impose ratios between weights to be within certain ranges. ARs can be categorized into two types: ARs type I (ARI) and ARs type II (ARII). ARI specify bounds on ratios between input weights or between output weights, whilst ARII specify bounds on ratios that link input to output weights. DEA models with ARI successfully maximize relative efficiency, but in the presence of ARII the DEA models may under-estimate relative efficiency or may become infeasible. In this paper we discuss the problems that can occur in the presence of ARII and propose a new nonlinear model that overcomes the limitations discussed. Also, the dual model is described, which enables the assessment of relative efficiency when trade-offs between inputs and outputs are specified. The application of the model developed is illustrated in the efficiency assessment of Portuguese secondary schools. |
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7160 |
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The measurement of relative efficiency using data envelopment analysis with assurance regions that link inputs and outputsData envelopment analysisWeight restrictionsAssurance regions type IIThe most popular weight restrictions are assurance regions (ARs), which impose ratios between weights to be within certain ranges. ARs can be categorized into two types: ARs type I (ARI) and ARs type II (ARII). ARI specify bounds on ratios between input weights or between output weights, whilst ARII specify bounds on ratios that link input to output weights. DEA models with ARI successfully maximize relative efficiency, but in the presence of ARII the DEA models may under-estimate relative efficiency or may become infeasible. In this paper we discuss the problems that can occur in the presence of ARII and propose a new nonlinear model that overcomes the limitations discussed. Also, the dual model is described, which enables the assessment of relative efficiency when trade-offs between inputs and outputs are specified. The application of the model developed is illustrated in the efficiency assessment of Portuguese secondary schools.ElsevierVeritati - Repositório Institucional da Universidade Católica PortuguesaKhalili, M.Camanho, A.S.Portela, M.C.A.S.Alirezaee, M.R.2011-09-09T16:12:43Z20102010-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.14/5359engKHALILI, M.; CAMANHO, A. S.; PORTELA, Maria; ALIREZAEE, M. - The measurement of relative efficiency using data envelopment analysis with assurance regions that link inputs and outputs. European Journal of Operational Research. ISSN 0377-2217. Vol. 203, n.º 3 (2010), p. 761-7700377-221710.1016/j.ejor.2009.09.002info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-12T17:09:50Zoai:repositorio.ucp.pt:10400.14/5359Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:05:18.862042Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
The measurement of relative efficiency using data envelopment analysis with assurance regions that link inputs and outputs |
title |
The measurement of relative efficiency using data envelopment analysis with assurance regions that link inputs and outputs |
spellingShingle |
The measurement of relative efficiency using data envelopment analysis with assurance regions that link inputs and outputs Khalili, M. Data envelopment analysis Weight restrictions Assurance regions type II |
title_short |
The measurement of relative efficiency using data envelopment analysis with assurance regions that link inputs and outputs |
title_full |
The measurement of relative efficiency using data envelopment analysis with assurance regions that link inputs and outputs |
title_fullStr |
The measurement of relative efficiency using data envelopment analysis with assurance regions that link inputs and outputs |
title_full_unstemmed |
The measurement of relative efficiency using data envelopment analysis with assurance regions that link inputs and outputs |
title_sort |
The measurement of relative efficiency using data envelopment analysis with assurance regions that link inputs and outputs |
author |
Khalili, M. |
author_facet |
Khalili, M. Camanho, A.S. Portela, M.C.A.S. Alirezaee, M.R. |
author_role |
author |
author2 |
Camanho, A.S. Portela, M.C.A.S. Alirezaee, M.R. |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Veritati - Repositório Institucional da Universidade Católica Portuguesa |
dc.contributor.author.fl_str_mv |
Khalili, M. Camanho, A.S. Portela, M.C.A.S. Alirezaee, M.R. |
dc.subject.por.fl_str_mv |
Data envelopment analysis Weight restrictions Assurance regions type II |
topic |
Data envelopment analysis Weight restrictions Assurance regions type II |
description |
The most popular weight restrictions are assurance regions (ARs), which impose ratios between weights to be within certain ranges. ARs can be categorized into two types: ARs type I (ARI) and ARs type II (ARII). ARI specify bounds on ratios between input weights or between output weights, whilst ARII specify bounds on ratios that link input to output weights. DEA models with ARI successfully maximize relative efficiency, but in the presence of ARII the DEA models may under-estimate relative efficiency or may become infeasible. In this paper we discuss the problems that can occur in the presence of ARII and propose a new nonlinear model that overcomes the limitations discussed. Also, the dual model is described, which enables the assessment of relative efficiency when trade-offs between inputs and outputs are specified. The application of the model developed is illustrated in the efficiency assessment of Portuguese secondary schools. |
publishDate |
2010 |
dc.date.none.fl_str_mv |
2010 2010-01-01T00:00:00Z 2011-09-09T16:12:43Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.14/5359 |
url |
http://hdl.handle.net/10400.14/5359 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
KHALILI, M.; CAMANHO, A. S.; PORTELA, Maria; ALIREZAEE, M. - The measurement of relative efficiency using data envelopment analysis with assurance regions that link inputs and outputs. European Journal of Operational Research. ISSN 0377-2217. Vol. 203, n.º 3 (2010), p. 761-770 0377-2217 10.1016/j.ejor.2009.09.002 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799131716594434048 |