Fintech, Banking Factors, and Economic Drivers of Efficiency in Jordan’s Banking Sector: Insights from DEA, SBM, and Logit Models

The study aims to evaluate the efficiency of the banking sector in Jordan from 2011 to 2022, employing the Data Envelopment Analysis (DEA) methodology, Slacks-Based Models (SBM), and Logit regression models. The findings show that, overall, the Jordanian banking sector demonstrates high efficiency, though there is variation across individual banks, despite the economic and geopolitical challenges faced during the study period. The study also examines the factors influencing the efficiency of Jordanian commercial banks, including banking and economic variables, as well as the impact of the COVID-19 pandemic. The results reveal that capital adequacy and Fintech adoption have the most significant positive effect on bank efficiency, while market concentration, measured by the Herfindahl-Hirschman Index (HHI), has the most substantial negative impact. The paper emphasizes the importance of continuous improvements in risk management, technological adoption, and operational efficiency, as well as fostering greater competition between banks. Additionally, it highlights the critical role of macroeconomic stability in supporting long-term banking sector efficiency.

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Publication Details

Journal
International Journal of Economics and Financial Issues
Published
2025-04-12
DOI
https://doi.org/10.32479/ijefi.18710
Citations
1
Primary Topic
Islamic Finance and Banking Studies
Type
article
Field-Weighted Citation Impact
3.91
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article

Fintech, Banking Factors, and Economic Drivers of Efficiency in Jordan’s Banking Sector: Insights from DEA, SBM, and Logit Models

Rami Obeid
1 citations
International Journal of Economics and Financial Issues
Islamic Finance and Banking Studies
3.91
article

Fintech, Banking Factors, and Economic Drivers of Efficiency in Jordan’s Banking Sector: Insights from DEA, SBM, and Logit Models

Rami Obeid
article en
1 citations

Abstract

The study aims to evaluate the efficiency of the banking sector in Jordan from 2011 to 2022, employing the Data Envelopment Analysis (DEA) methodology, Slacks-Based Models (SBM), and Logit regression models. The findings show that, overall, the Jordanian banking sector demonstrates high efficiency, though there is variation across individual banks, despite the economic and geopolitical challenges faced during the study period. The study also examines the factors influencing the efficiency of Jordanian commercial banks, including banking and economic variables, as well as the impact of the COVID-19 pandemic. The results reveal that capital adequacy and Fintech adoption have the most significant positive effect on bank efficiency, while market concentration, measured by the Herfindahl-Hirschman Index (HHI), has the most substantial negative impact. The paper emphasizes the importance of continuous improvements in risk management, technological adoption, and operational efficiency, as well as fostering greater competition between banks. Additionally, it highlights the critical role of macroeconomic stability in supporting long-term banking sector efficiency.

International Journal of Economics and Financial IssuesVol. 15(3)
International Monetary Fund (US)
Openalex Percentile: Top 9%
Islamic Finance and Banking Studies
3.91
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