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Analyzing the environmental Kuznets curve for the EU countries: the role of ecological footprint

Overview of attention for article published in Environmental Science and Pollution Research, August 2018
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Title
Analyzing the environmental Kuznets curve for the EU countries: the role of ecological footprint
Published in
Environmental Science and Pollution Research, August 2018
DOI 10.1007/s11356-018-2911-4
Pubmed ID
Authors

Mehmet Akif Destek, Recep Ulucak, Eyup Dogan

Abstract

A great majority of the environmental Kuznets curve (EKC) literature use CO2 emissions to proxy for environmental degradation. However, this is an important shortage in application of the EKC concept because environmental degradation cannot be captured by CO2 emissions only. By using a broader proxy, ecological footprint, this study aims to investigate the presence of environmental Kuznets curve hypothesis for the EU countries. The annual data from 1980 to 2013 is examined with second generation panel data methodologies which take into account the cross-sectional dependence among countries. The results show that there is U-shaped relationship between the real income and ecological footprint. In addition, non-renewable energy increases the environmental degradation while renewable energy and trade openness decrease the environmental degradation in the EU countries. Policy implications are further discussed.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 206 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 206 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 16%
Student > Master 21 10%
Researcher 18 9%
Student > Doctoral Student 18 9%
Student > Bachelor 11 5%
Other 30 15%
Unknown 76 37%
Readers by discipline Count As %
Economics, Econometrics and Finance 63 31%
Business, Management and Accounting 16 8%
Social Sciences 9 4%
Unspecified 5 2%
Engineering 4 2%
Other 20 10%
Unknown 89 43%