Nonlinear effects of bank regulation stringency on bank lending in selected sub-Saharan African countries

Abstract

PurposeThis paper aims to investigate the nonlinear effects of bank regulation stringency on bank lending in 23 sub-Saharan African (SSA) countries over the period 1997–2017.Design/methodology/approachThis study employs the dynamic panel threshold regression (PTR) model, which addresses endogeneity and heterogeneity problems within a nonlinear framework. It also uses indices of entry barriers, mixing of banking and commerce restrictions, activity restrictions and capital regulatory requirements from the updated databases of the World Bank's Bank Regulation and Supervision Surveys as measures of bank regulation.FindingsThe linearity test results support the existence of nonlinear effects in the relationship between bank lending and entry barriers or capital regulations in the selected SSA economies. The dynamic PTR estimation results reveal that bank lending responds positively when the stringency of entry barriers is below the threshold of 62.8%. However, once the stringency of entry barriers exceeds that threshold level, bank credit reacts negatively and significantly. By contrast, changes in capital regulation stringency do not affect bank lending, either below or above the obtained threshold value of 76.5%.Practical implicationsThese results can help policymakers design bank regulatory measures that will promote the resilience and safety of the banking system but at the same time not bring unintended effects to bank lending.Originality/valueTo the best of the authors’ knowledge, this is the first study to examine the nonlinear effects of bank regulatory measures on bank lending using the dynamic PTR model and SSA context.

Bank regulation, supervision and lending: empirical evidence from selected Sub-Saharan African countries

“…It will also be worth investigating in the future whether there are optimal threshold effects in the linkages between bank credit and bank regulation and/or supervision. Source: Thamae and Odhiambo (2022). Notes: The parenthesis gives the year of completion of the survey; A tick ( ) shows that the data is available; A dash (-) shows that the data is unavailable, and thse previous or subsequent available survey data is used instead.…”