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This study assesses the impact that ICT can have on the occurrence of banking crisis for a sample of 113 countries over the period 1996–2017 while considering the interfering role of corruption and the potential existence of a nonlinear relationship for the ICT-banking crisis nexus. We consider countries with varying income levels to check for the stability of the relationship. Our estimation results show that more highly ICT endowed countries can improve the resilience of the banking system. The study provides evidence that ICTs do not produce the same effect regardless of a country’s level of income. Estimation outcomes show the existence of a threshold effect driving the ICT-banking stability nexus. More results show that Information and communication technologies can improve the stability of the banking system only when corruption is relatively low. However, when corruption is endemic, ICT endowment is useless for the stability of the banking system.Other Information Published in: Journal of Quantitative Economics License: https://creativecommons.org/licenses/by/4.0See article on publisher's website: http://dx.doi.org/10.1007/s40953-022-00292-0

This paper analyses the role of economic development in curbing corruption by focusing on political and economic freedoms for a sample of Middle Eastern and North African (MENA) countries over the period 1984–2013. In addition, the analysis investigates whether political and economic freedoms lower corruption in natural-resource-rich countries by considering both linear and non-linear effects. The results reveal that the interactive relationship between economic and political freedoms and government size leads to a reduction in corruption. Furthermore, our results show robust support to suggest that an increase in income increases corruption in natural-resource-rich countries. Overall, our findings provide some relevant policy implications for MENA countries.

International audience

The purpose of this paper is to assess the relationship between credit market development and economic growth for a heterogeneous panel of 20 developing and developed countries with varied growth experiences. The empirical study is based on estimations of generalized method of moments (GMM) and pooled mean group (PMG) on heterogeneous panel data model. Difference GMM estimation indicates that credit market development has a negative effect on economic growth. This result is robust for our full sample and for the subsample of non-OECD countries, but not for the subsample of OECD countries. However, using a PMG model, we provide evidence of a positive impact in the long run between credit market development and economic growth. When considering heterogeneity in the short-run relationship across countries, our findings suggest that the credit–growth relationship is specific across countries, depending on each country-specific legal and macroeconomic environment.