Efficiency of Brazilian international airports: Applying the bootstrap data envelopment analysis
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , |
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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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/openAccess2024-06-10T19:42:21Zoai:repositorio.unesp.br:11449/174932Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:00:26.178868Repositório 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 |
|
_version_ |
1808128593491918848 |