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.
Reference51 articles.
1. Ahmad, F., & Bashir, T. (2013). Explanatory Power of Bank Specific Variables as Determinants of Non-Performing Loans: Evidence form Pakistan Banking Sector. World Applied Sciences Journal, 22(9), 1220-1231. https://doi.org/10.5829/idosi.wasj.2013.22.09.1908
2. Akhter, N. (2023). Determinants of commercial bank's non-performing loans in Bangladesh: An empirical evidence. Cogent Economics & Finance, 11(1). https://doi.org/10.1080/23322039.2023.2194128
3. Alihodžić, A. (2022). Internal and External Factors of Non-Performing Loans: The Example of the Banking Sector in Bosnia and Herzegovina. Balkans Journal of Emerging Trends in Social Sciences, 5(2), 93-104. https://doi.org/10.31410/Balkans.JETSS.2022.5.2.93-104
4. Almaskati, N. (2022). The determinants of bank profitability and risk: A random forest approach. Cogent Economics & Finance, 10(1). https://doi.org/10.1080/23322039.2021.2021479
5. Alnabulsi, K., Kozarević, E., & Hakimi, A. (2022). Assessing the determinants of non-performing loans under financial crisis and health crisis: Evidence from the MENA banks. Cogent Economics & Finance, 10(1). https://doi.org/10.1080/23322039.2022.2124665