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Article
Publication date: 2 March 2021

James Temitope Dada, Folorunsho Monsur Ajide and Akinwumi Sharimakin

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…

Abstract

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.

Details

World Journal of Science, Technology and Sustainable Development, vol. 18 no. 2
Type: Research Article
ISSN: 2042-5945

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