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Article dans une revue

Does ecological footprint matter for the shape of the environmental Kuznets curve? Evidence from European countries

Abstract : The study empirically examines the environmental Kuznets curve (EKC) hypotheses by investigating the relationship between ecological footprint, economic growth, energy consumption, and population growth. The study uses ecological footprint as a measurement of environmental degradation which is a more comprehensive indicator and considers all factors responsible for environmental degradation. Keeping in view the problem of cross-sectional dependence, a more efficient estimation tools like pooled mean group and augmented mean group have been used to estimate the long-run parameters for 22 European countries from 1995 through 2015. Results of the study found a quadratic relationship between income growth and ecological footprint and support validity of EKC. Energy consumption positively contributes to ecological footprint, while population growth plays no significant role in determining environmental quality. The long-run estimates of the study are validated through robustness analysis by employing dynamic ordinary least square (DOLS) and fully modified ordinary least square (FMOLS) techniques. Dumitrescu and Hurlin (2012) panel non-causality test indicated that there is a unidirectional causality running from GDP to ecological footprint while bidirectional causality running between energy consumption and ecological footprint. The study identified that population growth in European region is not a severe issue as compared to intensive energy consumption. Policies which restrict emission, deforestation, and water pollution should be adopted for sustainability of environment.
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Soumis le : vendredi 28 janvier 2022 - 15:02:14
Dernière modification le : jeudi 19 mai 2022 - 16:04:07




Muhammad Saqib, François Benhmad. Does ecological footprint matter for the shape of the environmental Kuznets curve? Evidence from European countries. Environmental Science and Pollution Research, Springer Verlag, 2020, 28, pp.13634 - 13648. ⟨10.1007/s11356-020-11517-1⟩. ⟨hal-03515525⟩



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