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The Effect of Corruption on the Environmental Quality in African Countries: a Panel Quantile Regression Analysis

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Abstract

The impact of corruption on environment quality is a challenge for both developed and developing countries. Using the panel quantile regression approach and the generalized method of moments (GMM), this paper examines the linkers between corruption and CO2 emissions in African countries. Empirical results show that the corruption level is high for all African economies. Also, the effect of corruption on CO2 emissions is negative in lower emissions countries. But, this effect becomes insignificant for higher emissions countries. However, its indirect effect on CO2 emissions is positive. But, the positive effect of corruption on environment quality dominates the negative effect. The end result is a total positive effect, i.e., African countries suffer from higher level of corruptability which eventually causes many serious ecological problems.

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Notes

  1. 4 http://www.oecd.org/daf/anti-bribery/ConvCombatBribery_ENG.pdf

  2. http://www.theguardian.com/environment/2015/aug/24/kyoto-protocols-carboncredit-scheme-increased-emissions-by-600m-tonnes

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Authors and Affiliations

  1. Department of Economics and quantitative methods, EPI-Ma Business School of Sousse, Sousse, Tunisia

    Sekrafi Habib

  2. Department of quantitative methods, Higher Institute Management of Tunis, Tunis, Tunisia

    Snoussi Abdelmonen

  3. Department of quantitative methods, Higher Institute of Management of Sousse, Sousse, Tunisia

    Mili Khaled

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  1. Sekrafi Habib
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Habib, S., Abdelmonen, S. & Khaled, M. The Effect of Corruption on the Environmental Quality in African Countries: a Panel Quantile Regression Analysis. J Knowl Econ 11, 788–804 (2020). https://doi.org/10.1007/s13132-018-0571-8

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