Efficiency determinants in Portuguese banking industry: an application through fractional regression models

Bibliographic Details
Main Author: Martins,Ana Isabel
Publication Date: 2018
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-84582018000200007
Summary: The participation in the Euro area and the current financial crisis substantially conditioned the development of the Portuguese banking industry, for which is expected a continuous fall in income and a growing competitive pressure, improving the need to look carefully to issues as efficiency as an essential survival factor. Efficiency indicators of the main banks operating in Portugal were measured through DEA methodology. The application of two-stage models allowed circumventing the usual problems inherent to the coexistence of the production and intermediation approaches. The application of regression for proportions, more appropriate than traditional linear and Tobit regressions, to deal with the fractional nature of the DEA scores, allowed the identification of efficiency determinant factors for the main banks operating in Portugal. The fractional regression models demonstrate evidence of improved specification comparing to traditional regression models. The variables that appear to major influence on overall efficiency are internationalization, size and type of ownership of capital.
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spelling Efficiency determinants in Portuguese banking industry: an application through fractional regression modelsDEA modelsbanking efficiencyfractional regressionefficiency determinantsThe participation in the Euro area and the current financial crisis substantially conditioned the development of the Portuguese banking industry, for which is expected a continuous fall in income and a growing competitive pressure, improving the need to look carefully to issues as efficiency as an essential survival factor. Efficiency indicators of the main banks operating in Portugal were measured through DEA methodology. The application of two-stage models allowed circumventing the usual problems inherent to the coexistence of the production and intermediation approaches. The application of regression for proportions, more appropriate than traditional linear and Tobit regressions, to deal with the fractional nature of the DEA scores, allowed the identification of efficiency determinant factors for the main banks operating in Portugal. The fractional regression models demonstrate evidence of improved specification comparing to traditional regression models. The variables that appear to major influence on overall efficiency are internationalization, size and type of ownership of capital.Escola Superior de Gestão, Hotelaria e Turismo da Universidade do Algarve2018-06-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articletext/htmlhttp://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-84582018000200007Tourism & Management Studies v.14 n.2 2018reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAPenghttp://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-84582018000200007Martins,Ana Isabelinfo:eu-repo/semantics/openAccess2024-02-06T17:29:12Zoai:scielo:S2182-84582018000200007Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T13:16:23.876467Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Efficiency determinants in Portuguese banking industry: an application through fractional regression models
title Efficiency determinants in Portuguese banking industry: an application through fractional regression models
spellingShingle Efficiency determinants in Portuguese banking industry: an application through fractional regression models
Martins,Ana Isabel
DEA models
banking efficiency
fractional regression
efficiency determinants
title_short Efficiency determinants in Portuguese banking industry: an application through fractional regression models
title_full Efficiency determinants in Portuguese banking industry: an application through fractional regression models
title_fullStr Efficiency determinants in Portuguese banking industry: an application through fractional regression models
title_full_unstemmed Efficiency determinants in Portuguese banking industry: an application through fractional regression models
title_sort Efficiency determinants in Portuguese banking industry: an application through fractional regression models
author Martins,Ana Isabel
author_facet Martins,Ana Isabel
author_role author
dc.contributor.author.fl_str_mv Martins,Ana Isabel
dc.subject.por.fl_str_mv DEA models
banking efficiency
fractional regression
efficiency determinants
topic DEA models
banking efficiency
fractional regression
efficiency determinants
description The participation in the Euro area and the current financial crisis substantially conditioned the development of the Portuguese banking industry, for which is expected a continuous fall in income and a growing competitive pressure, improving the need to look carefully to issues as efficiency as an essential survival factor. Efficiency indicators of the main banks operating in Portugal were measured through DEA methodology. The application of two-stage models allowed circumventing the usual problems inherent to the coexistence of the production and intermediation approaches. The application of regression for proportions, more appropriate than traditional linear and Tobit regressions, to deal with the fractional nature of the DEA scores, allowed the identification of efficiency determinant factors for the main banks operating in Portugal. The fractional regression models demonstrate evidence of improved specification comparing to traditional regression models. The variables that appear to major influence on overall efficiency are internationalization, size and type of ownership of capital.
publishDate 2018
dc.date.none.fl_str_mv 2018-06-01
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dc.identifier.uri.fl_str_mv http://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-84582018000200007
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dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv http://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-84582018000200007
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dc.publisher.none.fl_str_mv Escola Superior de Gestão, Hotelaria e Turismo da Universidade do Algarve
publisher.none.fl_str_mv Escola Superior de Gestão, Hotelaria e Turismo da Universidade do Algarve
dc.source.none.fl_str_mv Tourism & Management Studies v.14 n.2 2018
reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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