Efficiency of Brazilian international airports: Applying the bootstrap data envelopment analysis

Detalhes bibliográficos
Autor(a) principal: Périco, Ana Elisa [UNESP]
Data de Publicação: 2017
Outros Autores: Santana, Naja Brandão, Do Nascimento Rebelatto, Daisy Aparecida
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1590/0104-530X1810-15
http://hdl.handle.net/11449/174932
Resumo: In the setting of open market organizations, efficiency has gained greater relevance, which in Brazil began around the 1990s. This paper applies the bootstrap data envelopment analysis aiming to study the efficiency of Brazilian airports, using the databases of the Agência Nacional de Aviação Civil (ANAC) and the Empresa Brasileira de Infraestrutura Aeroportuária (INFRAERO), dated of 2010, 2011 and 2012. We used multiple regression to validate the variables of the model. In this model, the measure used to represent the performance of airports was the number of processed passengers (dependent variable); for the variables that determine performance (independent variables) we used: number of runways, number of check-in counters, number of aircraft parking bays and passenger areas. The method was applied to study 16 Brazilian international airports in an operational approach. To correct the efficiency values found, given the inherent random error of the data, a bootstrap technique was applied. The approach showed that an airport's size is not the determining factor to assign their efficiency. The use of resources to achieve the product was the most relevant criterion to investigate the airport's good performance and efficiency in this study. The results obtained indicate that the Curitiba Airport is the most efficient. Moreover, the least efficient airports were the Galeão and Manaus Airports.
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spelling Efficiency of Brazilian international airports: Applying the bootstrap data envelopment analysisBrazilian international airportsData envelopment analysisOperational efficiencyIn the setting of open market organizations, efficiency has gained greater relevance, which in Brazil began around the 1990s. This paper applies the bootstrap data envelopment analysis aiming to study the efficiency of Brazilian airports, using the databases of the Agência Nacional de Aviação Civil (ANAC) and the Empresa Brasileira de Infraestrutura Aeroportuária (INFRAERO), dated of 2010, 2011 and 2012. We used multiple regression to validate the variables of the model. In this model, the measure used to represent the performance of airports was the number of processed passengers (dependent variable); for the variables that determine performance (independent variables) we used: number of runways, number of check-in counters, number of aircraft parking bays and passenger areas. The method was applied to study 16 Brazilian international airports in an operational approach. To correct the efficiency values found, given the inherent random error of the data, a bootstrap technique was applied. The approach showed that an airport's size is not the determining factor to assign their efficiency. The use of resources to achieve the product was the most relevant criterion to investigate the airport's good performance and efficiency in this study. The results obtained indicate that the Curitiba Airport is the most efficient. Moreover, the least efficient airports were the Galeão and Manaus Airports.Departamento de Economia Universidade Estadual Paulista - UNESP, Rodovia Araraquara-Jaú, Km 1Centro de Ciências da Natureza Universidade Federal de São Carlos - UFSCar, Rodovia Lauri Simões de Barros, Km 12Departamento de Engenharia de Produção Universidade de São Paulo - USP, Avenida Trabalhador São-Carlense, 400Departamento de Economia Universidade Estadual Paulista - UNESP, Rodovia Araraquara-Jaú, Km 1Universidade Estadual Paulista (Unesp)Universidade Federal de São Carlos (UFSCar)Universidade de São Paulo (USP)Périco, Ana Elisa [UNESP]Santana, Naja BrandãoDo Nascimento Rebelatto, Daisy Aparecida2018-12-11T17:13:31Z2018-12-11T17:13:31Z2017-04-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article370-381application/pdfhttp://dx.doi.org/10.1590/0104-530X1810-15Gestao e Producao, v. 24, n. 2, p. 370-381, 2017.1806-96490104-530Xhttp://hdl.handle.net/11449/17493210.1590/0104-530X1810-15S0104-530X20170002003702-s2.0-85025116231S0104-530X2017000200370.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengGestao e Producaoinfo:eu-repo/semantics/openAccess2023-10-26T06:06:30Zoai:repositorio.unesp.br:11449/174932Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-10-26T06:06:30Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Efficiency of Brazilian international airports: Applying the bootstrap data envelopment analysis
title Efficiency of Brazilian international airports: Applying the bootstrap data envelopment analysis
spellingShingle Efficiency of Brazilian international airports: Applying the bootstrap data envelopment analysis
Périco, Ana Elisa [UNESP]
Brazilian international airports
Data envelopment analysis
Operational efficiency
title_short Efficiency of Brazilian international airports: Applying the bootstrap data envelopment analysis
title_full Efficiency of Brazilian international airports: Applying the bootstrap data envelopment analysis
title_fullStr Efficiency of Brazilian international airports: Applying the bootstrap data envelopment analysis
title_full_unstemmed Efficiency of Brazilian international airports: Applying the bootstrap data envelopment analysis
title_sort Efficiency of Brazilian international airports: Applying the bootstrap data envelopment analysis
author Périco, Ana Elisa [UNESP]
author_facet Périco, Ana Elisa [UNESP]
Santana, Naja Brandão
Do Nascimento Rebelatto, Daisy Aparecida
author_role author
author2 Santana, Naja Brandão
Do Nascimento Rebelatto, Daisy Aparecida
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Universidade Federal de São Carlos (UFSCar)
Universidade de São Paulo (USP)
dc.contributor.author.fl_str_mv Périco, Ana Elisa [UNESP]
Santana, Naja Brandão
Do Nascimento Rebelatto, Daisy Aparecida
dc.subject.por.fl_str_mv Brazilian international airports
Data envelopment analysis
Operational efficiency
topic Brazilian international airports
Data envelopment analysis
Operational efficiency
description In the setting of open market organizations, efficiency has gained greater relevance, which in Brazil began around the 1990s. This paper applies the bootstrap data envelopment analysis aiming to study the efficiency of Brazilian airports, using the databases of the Agência Nacional de Aviação Civil (ANAC) and the Empresa Brasileira de Infraestrutura Aeroportuária (INFRAERO), dated of 2010, 2011 and 2012. We used multiple regression to validate the variables of the model. In this model, the measure used to represent the performance of airports was the number of processed passengers (dependent variable); for the variables that determine performance (independent variables) we used: number of runways, number of check-in counters, number of aircraft parking bays and passenger areas. The method was applied to study 16 Brazilian international airports in an operational approach. To correct the efficiency values found, given the inherent random error of the data, a bootstrap technique was applied. The approach showed that an airport's size is not the determining factor to assign their efficiency. The use of resources to achieve the product was the most relevant criterion to investigate the airport's good performance and efficiency in this study. The results obtained indicate that the Curitiba Airport is the most efficient. Moreover, the least efficient airports were the Galeão and Manaus Airports.
publishDate 2017
dc.date.none.fl_str_mv 2017-04-01
2018-12-11T17:13:31Z
2018-12-11T17:13:31Z
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://dx.doi.org/10.1590/0104-530X1810-15
Gestao e Producao, v. 24, n. 2, p. 370-381, 2017.
1806-9649
0104-530X
http://hdl.handle.net/11449/174932
10.1590/0104-530X1810-15
S0104-530X2017000200370
2-s2.0-85025116231
S0104-530X2017000200370.pdf
url http://dx.doi.org/10.1590/0104-530X1810-15
http://hdl.handle.net/11449/174932
identifier_str_mv Gestao e Producao, v. 24, n. 2, p. 370-381, 2017.
1806-9649
0104-530X
10.1590/0104-530X1810-15
S0104-530X2017000200370
2-s2.0-85025116231
S0104-530X2017000200370.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Gestao e Producao
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 370-381
application/pdf
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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