Artikel

Corruption and its diverse effect on credit risk: Global evidence

Corruption has a complex relationship with economic growth. We have explored the impact of corruption on credit risk from a global perspective. The sample consists of 178 countries and covers 18 years that range from 2000 to 2017. Non-performing loan (NPL) is used as a proxy for credit risk and data regarding NPL is collected from the World Bank Database. Corruption scores are collected from the Transparency International reports. Panel regression results provide a positive association between corruption and credit risk for the global sample. Generalized Methods of Moments regression and robustness tests validate the findings. However, sub-sample analysis provides support for "grease the wheel" hypothesis for high corruption countries and indicates that corruption is beneficial in a weak form of governance and excessive regulatory pressure. This study advocate for the importance of strong governance mechanisms in high corruption countries that can minimize the impact of corruption on banking sector profitability and ensure economic development. Unlike past literature, we provide global evidence on the association between corruption and credit risk for the banking sector which allows generalizability.

Sprache
Englisch

Erschienen in
Journal: Future Business Journal ; ISSN: 2314-7210 ; Volume: 7 ; Year: 2021 ; Issue: 1 ; Pages: 1-13 ; Heidelberg: Springer

Klassifikation
Management
Bureaucracy; Administrative Processes in Public Organizations; Corruption
Banks; Depository Institutions; Micro Finance Institutions; Mortgages
Thema
Banks
Bureaucracy
Corporate finance and governance
Corruption
Credit risk

Ereignis
Geistige Schöpfung
(wer)
Rashedul Hasan
Ashfaq, Muhammad
Ereignis
Veröffentlichung
(wer)
Springer
(wo)
Heidelberg
(wann)
2021

DOI
doi:10.1186/s43093-021-00060-1
Handle
Letzte Aktualisierung
10.03.2025, 11:45 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Rashedul Hasan
  • Ashfaq, Muhammad
  • Springer

Entstanden

  • 2021

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