Purpose: This study investigates the effect of shadow economy on environmental pollution and the role of institutional quality in moderating the impact in African countries between 1991 and 2015.Design/methodology/approach: The study employs three pollutant variables namely: carbon dioxide emissions per capita, methane emission and nitrous oxide emission as robustness check. Also, battery of methodologies; ordinary least squares, fixed effects and system generalised method of moments are used to drive out the conclusions of this study.Findings: The findings reveal that shadow economy and institutional quality contribute significantly to environmental pollution in Africa. Further, the interactive effect of shadow economy and institutional quality worsens environmental quality in the region. This reveals that weak institutional quality recorded in the region increases the level of shadow economy, thereby intensifying environmental pollution.Practical implications: The study concludes that weak institutional framework in the region reinforces shadow economy and environmental pollution. Hence, findings from this study can help policymakers in the region to better understand the role of institutional quality in reducing shadow economy and environmental pollution.Originality/value: This study enriches one’s understanding on the role of institutional quality in the relationship between environmental quality and shadow economy in African context. It investigates the direct and indirect impact of institutions and shadow economy on environmental quality. The study also uses three different robust variables to measure environmental pollution (carbon dioxide (CO₂) emissions per capita, methane emission and nitrous oxide emission) for sensitivity analysis.

Purpose: Motivated by the conflicting evidence on the effect of financial development on environmental quality, this study investigates the moderating role of institutional quality in the link between financial development and environmental quality using a robust proxy in Malaysia from 1984 to 2017.Design/methodology/approach: Ecological footprint is used to measure environmental quality, while financial development is proxied using three measures (domestic credit provided by the private sector, domestic credit provided by the financial sector and domestic credit provided by the banking sector). An index of institutional quality is generated from voice and accountability, government effectiveness, regulatory quality, rule of law and control of corruption. Autoregressive Distributed Lag Bounds Test, Fully Modified Ordinary Least Square and Canonical Cointegrating Regression were used as the estimation techniques.Findings: The results show that financial development, institutional quality, economic growth and foreign direct investment improve environmental quality in the short run, whereas trade openness and natural resources worsen it. In the long run, financial development, institutional quality, economic growth, trade openness and natural resources deteriorate the environment. Furthermore, findings from the interactive term suggest that institutions and financial development complement each other to affect the environment in the short run. However, institutions and financial development perform a substitutability role in influencing the environment in the long run.Practical implications: The outcome of this study suggests that there are time lags in the relationship between institutional quality, financial development and ecological footprint in Malaysia. Furthermore, the study offers important policy implications to policymakers in Malaysia and other developing countries on how to mitigate environmental degradation.Originality/value: This study contributes to the body of knowledge on the moderating role of institutional quality in the relationship between financial development and ecological footprint in Malaysia. It examines the direct and indirect effects of financial development on environmental degradation through institutional quality, which have received less attention in the context of Malaysia. The findings from this study are robust to different proxies and estimation techniques.

Purpose: This study examines the moderating role institutional quality plays in shadow economy–environmental pollution nexus in Nigeria between 1984 and 2018. Further, the study also determines the threshold level of institutional quality that lessens shadow economy and abates environmental pollution.Design/methodology/approach: Shadow economy is measured as a percentage of gross domestic product (GDP) using the currency demand approach while environmental pollution is proxy by carbon dioxide (CO₂) per capita. Autoregressive distributed lag (ARDL) is used as the estimation technique.Findings: Results from the study show that shadow economy has a positive and significant effect on environmental pollution both in the short and long run, while institutional quality has a negative effect on environmental pollution. This reveals that shadow economy worsens environmental quality while institutional quality abates environmental pollution. The interactive term of shadow economy with institutional quality has a negative but insignificant effect on environmental pollution in the long run. It implies that institutional quality is weak to bring about significant reduction in shadow economy and environmental pollution. Further, the threshold level of institutional quality required to lessen the effect of shadow economy and abate environmental pollution is found to be 5.69 on an ordinal scale of 0–10.Practical implications: Institutional quality in Nigeria is weak and needs to be strengthened up to the threshold level in order to effectively moderate the impact of shadow economy on environmental pollution.Originality/value: The study addresses the perceived gap in the empirical literature on the emerging role of strong institution in abating environmental pollution in Nigeria. It also develops a threshold level of institutional quality capable of mediating the negative impact of shadow economy on environmental pollution. This empirical contribution is largely missing in the context of Nigeria.