Corruption and its diverse effect on credit risk: global evidence

Rashedul Hasan, Muhammad Ashfaq

Research output: Contribution to journalArticlepeer-review

13 Downloads (Pure)

Abstract

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 (GMM) regression and robustness tests validate the findings. However, sub-sample analysis provides support for “grease the wheel” hypothesis for high corruption countries and indicate 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.
Original languageEnglish
Article number18
Number of pages13
JournalFuture Business Journal
Volume7
Early online date21 Apr 2021
DOIs
Publication statusPublished - 21 Apr 2021

Bibliographical note

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Keywords

  • Corruption
  • Credit risk
  • banks
  • Bureaucracy
  • governance
  • corporate finance

Fingerprint

Dive into the research topics of 'Corruption and its diverse effect on credit risk: global evidence'. Together they form a unique fingerprint.

Cite this