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Estimating the efficiency from Brazilian banks: a bootstrapped Data Envelopment Analysis (DEA)

dc.contributor.authorPérico, Ana Elisa
dc.contributor.authorSantana, Naja Brandão
dc.contributor.authorRebelatto, Daisy Aparecida Do Nascimento
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversidade Federal de São Carlos Centro de Ciências da Natureza
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.date.accessioned2018-11-12T17:26:21Z
dc.date.available2018-11-12T17:26:21Z
dc.date.issued2016-09-01
dc.description.abstractAbstract The Brazilian banking sector went through several changes in its structure over the past few years. Such changes are related to fusions and acquisitions, as well as the largest market opening to foreign banks. The objective of this paper is to analyze, by applying the bootstrap DEA, the efficiency of banks in Brazil in 2010-2013. The methodology was applied to 30 largest banking organizations in a financial intermediation approach. In that model, the resources entering a bank in the form of deposits and total assets are classified as inputs and besides these manual labor is also considered as a resource capable of generating results. For the output variable, credit operations represent the most appropriate alternative, considering the role of the bank as a financial intermediary. In this work, the matter of the best classification among retail banks and banks specialized in credit has little relevance. The low relevance in this type of comparison is a result of analysis by segments (segments were analyzed separately). The results presented here point to an average level of efficiency for the large Brazilian banks in the period. This scenario requires efforts to reduce expenses but also to increase revenues.en
dc.description.affiliationUniversidade Estadual Paulista Faculdade de Ciências e Letras
dc.description.affiliationUniversidade Federal de São Carlos Centro de Ciências da Natureza
dc.description.affiliationUniversidade de São Paulo Escola de Engenharia de São Carlos
dc.description.affiliationUnespUniversidade Estadual Paulista Faculdade de Ciências e Letras
dc.format.extent551-561
dc.identifierhttp://dx.doi.org/10.1590/0103-6513.185714
dc.identifier.citationProduction. Associação Brasileira de Engenharia de Produção, v. 26, n. 3, p. 551-561, 2016.
dc.identifier.doi10.1590/0103-6513.185714
dc.identifier.fileS0103-65132016000300551.pdf
dc.identifier.issn0103-6513
dc.identifier.scieloS0103-65132016000300551
dc.identifier.urihttp://hdl.handle.net/11449/157656
dc.language.isoeng
dc.publisherAssociação Brasileira de Engenharia de Produção
dc.relation.ispartofProduction
dc.relation.ispartofsjr0,200
dc.rights.accessRightsAcesso aberto
dc.sourceSciELO
dc.subjectKeywords Bank efficiencyen
dc.subjectData Envelopment Analysis (DEA)en
dc.subjectFinancial intermediationen
dc.subjectBootstrapen
dc.titleEstimating the efficiency from Brazilian banks: a bootstrapped Data Envelopment Analysis (DEA)en
dc.typeArtigo
dspace.entity.typePublication
unesp.author.lattes9275881220224835[1]
unesp.author.orcid0000-0002-4434-4732[1]

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