Efficiency Determinants in Portuguese Banking Industry – an application through fractional regression models
Main Author: | |
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Publication Date: | 2018 |
Format: | Article |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | https://tmstudies.net/index.php/ectms/article/view/1072 |
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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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.University of Algarve2018-04-30info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://tmstudies.net/index.php/ectms/article/view/1072Revista Encontros Científicos - Tourism & Management Studies; v. 14 n. 2 (2018); 63-71Tourism & Management Studies; Vol. 14 N.º 2 (2018); 63-71Tourism & Management Studies; Vol. 14 No. 2 (2018); 63-71Revista Encontros Científicos - Tourism & Management Studies; Vol. 14 Núm. 2 (2018); 63-712182-8466reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAPenghttps://tmstudies.net/index.php/ectms/article/view/1072https://tmstudies.net/index.php/ectms/article/view/1072/2336Copyright (c) 2018 Tourism & Management Studiesinfo:eu-repo/semantics/openAccessMartins, Ana Isabel2024-01-17T15:29:35Zoai:ojs.pkp.sfu.ca:article/1072Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T11:49:34.378893Repositórios 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 |
2018-04-30 |
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 |
https://tmstudies.net/index.php/ectms/article/view/1072 |
url |
https://tmstudies.net/index.php/ectms/article/view/1072 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://tmstudies.net/index.php/ectms/article/view/1072 https://tmstudies.net/index.php/ectms/article/view/1072/2336 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2018 Tourism & Management Studies info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2018 Tourism & Management Studies |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
University of Algarve |
publisher.none.fl_str_mv |
University of Algarve |
dc.source.none.fl_str_mv |
Revista Encontros Científicos - Tourism & Management Studies; v. 14 n. 2 (2018); 63-71 Tourism & Management Studies; Vol. 14 N.º 2 (2018); 63-71 Tourism & Management Studies; Vol. 14 No. 2 (2018); 63-71 Revista Encontros Científicos - Tourism & Management Studies; Vol. 14 Núm. 2 (2018); 63-71 2182-8466 reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia instacron:RCAAP |
instname_str |
FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
collection |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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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info@rcaap.pt |
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1833592270220165120 |