Unraveling the Loan Growth Threshold Effect on Non-Performing Loans During Total Dollarization in Zimbabwe
Articles
Blessing Katuka
University of the Free State, South Africa
https://orcid.org/0000-0003-4716-8399
Calvin Mudzingiri
University of the Free State, South Africa
https://orcid.org/0000-0002-1186-4109
Edson Vengesai
University of the Free State, South Africa
Published 2024-05-29
https://doi.org/10.15388/omee.2024.15.8
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Keywords

non-performing loans
excessive lending
moral hazard
panel threshold regression
Zimbabwe

How to Cite

Katuka, B., Mudzingiri, C. and Vengesai, E. (2024) “Unraveling the Loan Growth Threshold Effect on Non-Performing Loans During Total Dollarization in Zimbabwe”, Organizations and Markets in Emerging Economies, 15(1(30), pp. 146–164. doi:10.15388/omee.2024.15.8.

Abstract

The availability of bank loans is a vital component in determining the investment and spending patterns that influence economic growth. This article examines the threshold effect of loan growth on non-performing loans (NPLs) in the Zimbabwean banking industry during dollarization. The study employed panel threshold regression models developed by Seo et al. (2019) and Kremer et al. (2013) on a panel of thirteen banks from 2009 to 2017. The study revealed that locally owned banks held a higher percentage of NPLs (12.7%) than foreign-owned banks (6.1%) during the period under study. The study also documents a loan growth threshold level of 38%. On average, the industry lends excessively, as demonstrated by the 48% loan growth rate. Primarily, local banks dominate this rate by lending above the threshold compared to foreign banks. The study observed that, below and above the threshold, loan growth exerts a negative and significant effect on NPLs. Based on the results, it can be recommended that banks should devise strategies to maintain a steady loan growth rate, enhance profitability, and effectively monitor liquidity risk exposure. The findings provide insights into reviewing bank credit policies and prudential guidelines.

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