Modeling banking efficiency in the MENA region between 2017 and 2021: Data Envelopment Analysis approach
Autor(a) principal: | |
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Data de Publicação: | 2024 |
Tipo de documento: | Artigo |
Idioma: | fra |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://doi.org/10.23882/emss.24206 |
Resumo: | In this paper, we applied the Data Envelopment Analysis model under the assumption of variable returns to scale and output orientation to measure the efficiency of banks belonging to 12 MENA countries during the period 2017-2021. We divided the banks into two classes, conventional banks comprising 59 banks belonging to 11 countries and Islamic banks comprising 22 banks belonging to 7 countries. Concerning the 59 conventional banks, the results showed that the percentage of CCR-efficient conventional banks is low and does not exceed 16% and the average CCR-efficiency score reached 90% during the study period. We also found that Qatar is the only country whose conventional banks are BCC-efficient for all 5 years in a row, and that their CCR-efficiency scores are the highest, whereas conventional banks in Morocco and Jordan have the lowest average CCR-efficiency scores. For the 22 Islamic banks, the results showed that the percentage of CCR-efficient Islamic banks was low, at just 14%, and that their average CCR-efficiency score was 64%. We also found that Qatar is the only country whose Islamic banks are on average CCR-efficient over the 5 years, and that Moroccan Islamic banks have the lowest average CCR-efficiency score, reaching 36%. |
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Modeling banking efficiency in the MENA region between 2017 and 2021: Data Envelopment Analysis approachModélisation de l’efficience bancaire dans la région MENA entre 2017 et 2021: Approche Data Envelopment AnalysisEfficience techniqueEfficience technique pureEfficience d’échelleData Envelopment AnalysisRendements d’échelleOrientations input et outputIn this paper, we applied the Data Envelopment Analysis model under the assumption of variable returns to scale and output orientation to measure the efficiency of banks belonging to 12 MENA countries during the period 2017-2021. We divided the banks into two classes, conventional banks comprising 59 banks belonging to 11 countries and Islamic banks comprising 22 banks belonging to 7 countries. Concerning the 59 conventional banks, the results showed that the percentage of CCR-efficient conventional banks is low and does not exceed 16% and the average CCR-efficiency score reached 90% during the study period. We also found that Qatar is the only country whose conventional banks are BCC-efficient for all 5 years in a row, and that their CCR-efficiency scores are the highest, whereas conventional banks in Morocco and Jordan have the lowest average CCR-efficiency scores. For the 22 Islamic banks, the results showed that the percentage of CCR-efficient Islamic banks was low, at just 14%, and that their average CCR-efficiency score was 64%. We also found that Qatar is the only country whose Islamic banks are on average CCR-efficient over the 5 years, and that Moroccan Islamic banks have the lowest average CCR-efficiency score, reaching 36%.Dans ce papier, nous avons appliqué le modèle Data Envelopment Analysis sous l’hypothèse de rendements d’échelle variables et selon l’orientation output pour mesurer l’efficience des banques appartenant à 12 pays de la région MENA durant la période 2017-2021. Nous avons divisé les banques en deux classes, les banques conventionnelles comprenant 59 banques appartenant à 11 pays et les banques islamiques comprenant 22 banques appartenant à 7 pays. Concernant les 59 banques conventionnelles, les résultats ont montré que le pourcentage de banques conventionnelles CCR-efficientes est faible et ne dépasse pas 16% et le score moyen de l’efficience-CCR a atteint 90% durant la période d’étude. Nous avons aussi trouvé que Qatar est le seul pays dont les banques conventionnelles sont BCC-efficientes durant les 5 années d’affilé et que leurs scores d’efficience-CCR sont les plus élevés alors que les banques conventionnelles du Maroc et de la Jordanie ont les scores moyens d’efficience-CCR les plus faibles. Concernant les 22 banques islamiques, les résultats ont montré que le pourcentage de banques islamiques CCR-efficientes est faible et ne dépasse pas 14% et que leur score moyen d’efficience-CCR a atteint en moyenne 64%. Nous avons aussi trouvé que Qatar est le seul pays dont les banques islamiques sont en moyenne CCR-efficientes durant les 5 années et que les banques islamiques du Maroc ont le score moyen de CCR-efficience le plus faible atteignant 36%.NMd, Núcleo Multidisciplinar2024-03-12info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://doi.org/10.23882/emss.24206https://doi.org/10.23882/emss.24206[RMd] RevistaMultidisciplinar; No. 2 (2024): lnterdisciplinary Perspectives on Economic Development; e202413[RMd] RevistaMultidisciplinar; Núm. 2 (2024): Perspectivas lnterdisciplinarias sobre el desarrollo económico; e202413[RMd] Revue Multidisciplinaire; No 2 (2024): Perspectives interdisciplinaires sur le développement économique; e202413[RMd] RevistaMultidisciplinar; N.º 2 (2024): Perspetivas lnterdisciplinares sobre o desenvolvimento económico; e2024132184-549210.23882/emss.v6n2reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPfrahttps://revistamultidisciplinar.com/index.php/oj/article/view/206https://revistamultidisciplinar.com/index.php/oj/article/view/206/211Direitos de Autor (c) 2024 Soufiane Benbachirinfo:eu-repo/semantics/openAccessBenbachir, Soufiane2024-03-16T07:05:12Zoai:ojs2.revistamultidisciplinar.com:article/206Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T04:01:17.738703Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Modeling banking efficiency in the MENA region between 2017 and 2021: Data Envelopment Analysis approach Modélisation de l’efficience bancaire dans la région MENA entre 2017 et 2021: Approche Data Envelopment Analysis |
title |
Modeling banking efficiency in the MENA region between 2017 and 2021: Data Envelopment Analysis approach |
spellingShingle |
Modeling banking efficiency in the MENA region between 2017 and 2021: Data Envelopment Analysis approach Benbachir, Soufiane Efficience technique Efficience technique pure Efficience d’échelle Data Envelopment Analysis Rendements d’échelle Orientations input et output |
title_short |
Modeling banking efficiency in the MENA region between 2017 and 2021: Data Envelopment Analysis approach |
title_full |
Modeling banking efficiency in the MENA region between 2017 and 2021: Data Envelopment Analysis approach |
title_fullStr |
Modeling banking efficiency in the MENA region between 2017 and 2021: Data Envelopment Analysis approach |
title_full_unstemmed |
Modeling banking efficiency in the MENA region between 2017 and 2021: Data Envelopment Analysis approach |
title_sort |
Modeling banking efficiency in the MENA region between 2017 and 2021: Data Envelopment Analysis approach |
author |
Benbachir, Soufiane |
author_facet |
Benbachir, Soufiane |
author_role |
author |
dc.contributor.author.fl_str_mv |
Benbachir, Soufiane |
dc.subject.por.fl_str_mv |
Efficience technique Efficience technique pure Efficience d’échelle Data Envelopment Analysis Rendements d’échelle Orientations input et output |
topic |
Efficience technique Efficience technique pure Efficience d’échelle Data Envelopment Analysis Rendements d’échelle Orientations input et output |
description |
In this paper, we applied the Data Envelopment Analysis model under the assumption of variable returns to scale and output orientation to measure the efficiency of banks belonging to 12 MENA countries during the period 2017-2021. We divided the banks into two classes, conventional banks comprising 59 banks belonging to 11 countries and Islamic banks comprising 22 banks belonging to 7 countries. Concerning the 59 conventional banks, the results showed that the percentage of CCR-efficient conventional banks is low and does not exceed 16% and the average CCR-efficiency score reached 90% during the study period. We also found that Qatar is the only country whose conventional banks are BCC-efficient for all 5 years in a row, and that their CCR-efficiency scores are the highest, whereas conventional banks in Morocco and Jordan have the lowest average CCR-efficiency scores. For the 22 Islamic banks, the results showed that the percentage of CCR-efficient Islamic banks was low, at just 14%, and that their average CCR-efficiency score was 64%. We also found that Qatar is the only country whose Islamic banks are on average CCR-efficient over the 5 years, and that Moroccan Islamic banks have the lowest average CCR-efficiency score, reaching 36%. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-03-12 |
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://doi.org/10.23882/emss.24206 https://doi.org/10.23882/emss.24206 |
url |
https://doi.org/10.23882/emss.24206 |
dc.language.iso.fl_str_mv |
fra |
language |
fra |
dc.relation.none.fl_str_mv |
https://revistamultidisciplinar.com/index.php/oj/article/view/206 https://revistamultidisciplinar.com/index.php/oj/article/view/206/211 |
dc.rights.driver.fl_str_mv |
Direitos de Autor (c) 2024 Soufiane Benbachir info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Direitos de Autor (c) 2024 Soufiane Benbachir |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
NMd, Núcleo Multidisciplinar |
publisher.none.fl_str_mv |
NMd, Núcleo Multidisciplinar |
dc.source.none.fl_str_mv |
[RMd] RevistaMultidisciplinar; No. 2 (2024): lnterdisciplinary Perspectives on Economic Development; e202413 [RMd] RevistaMultidisciplinar; Núm. 2 (2024): Perspectivas lnterdisciplinarias sobre el desarrollo económico; e202413 [RMd] Revue Multidisciplinaire; No 2 (2024): Perspectives interdisciplinaires sur le développement économique; e202413 [RMd] RevistaMultidisciplinar; N.º 2 (2024): Perspetivas lnterdisciplinares sobre o desenvolvimento económico; e202413 2184-5492 10.23882/emss.v6n2 reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799138187093737472 |