2020
DOI: 10.1016/j.jbef.2020.100365
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How does corruption undermine banking stability? A threshold nonlinear framework

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Cited by 41 publications
(20 citation statements)
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“…However, our results indicate that increase of corruption in an already corrupt environment could have a detrimental impact on the credit risk. Our results support Ali et al [4] that corruption allows defaulters to get access to risk credit through bribing lending authorities. Following the strong form hypothesis [39], we report a positive relationship between corruption and NPL for low corruption countries.…”
Section: Resultssupporting
confidence: 91%
“…However, our results indicate that increase of corruption in an already corrupt environment could have a detrimental impact on the credit risk. Our results support Ali et al [4] that corruption allows defaulters to get access to risk credit through bribing lending authorities. Following the strong form hypothesis [39], we report a positive relationship between corruption and NPL for low corruption countries.…”
Section: Resultssupporting
confidence: 91%
“…In contrast, borrowers who already have these relationships and have easier access to bank credit are less likely to invest their funds efficiently (Houston, Lin, & Ma, 2011). A relatively recent empirical finding (Ben Ali, Fhima, & Nouira, 2020) shows that corruption can cause spatial fragility and increase the probability of a banking crisis.…”
Section: Regression Analysismentioning
confidence: 99%
“…They determined the threshold for liquidity of 94.98% for both low-liquid banks and high-liquid banks. Ben Ali et al (2020) documented the effect of corruption on the occurrence of a banking crisis by using a threshold regression approach. The results reveal that corruption negatively affects the banks' lending through excessive risk rather than through their profitability.…”
Section: The Non-linear Relationship Between Npls and Bank Profitabilitymentioning
confidence: 99%