Abstract
The objective of this study is to investigate the effects of the shadow economy on environmental pollution and how this effect depends on the levels of corruption. The study utilizes an annual panel dataset of 127 selected developing countries worldwide, spanning from 2002 to 2018, and employs the Generalized Method of Moments (GMM) technique, which effectively addresses potential endogeneity issues in the model. The estimation results reveal that the shadow economy increases the level of environmental pollution. Furthermore, the results indicate that corruption intensifies the impacts of the shadow economy on environmental pollution. This highlights a significant complimentary between the shadow economy and corruption, indicating that an increase in the levels of corruption will lead to an increase the shadow economy and will also strengthen its harmful impact on environmental pollution through the channel of corruption. Additionally, the estimates remain robust when using alternative measure of the shadow economy.
Disclosure statement
No potential conflict of interest was reported by the author(s).
Data Availability Statement
The data that support the findings of this study are openly available in the website of World Bank (www.worldbank.org).
Conflict of Interest
The authors declare that they have no conflicts of interest regarding the publication of this paper.
Additional information
Notes on contributors
Waqar Ahmad
Waqar Ahmad is a doctoral student pursuing a Ph.D. in Economics at School of Economics, International Islamic University Islamabad, Pakistan. His research interests encompass significant fields such as Informal Sector Economy, Environmental Economics, Financial Economics and Macroeconomics.
Babar Hussain
Babar Hussain holds a PhD in Economics from The University of Manchester, United Kingdom. He is currently serving as an Assistant Professor at the School of Economics, International Islamic University Islamabad, Pakistan.