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Cited by 1,135

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Renewable, non-renewable energy consumption, economic growth, trade openness and ecological footprint: Evidence from organisation for economic Co-operation and development countries

Open access
Destek, Mehmet Akif, Sinha, Avik·2020·Journal of Cleaner Production

Abstract

The purpose of this study is to examine the validity of Environmental Kuznets Curve hypothesis for ecological footprint with the role of renewable energy use, non-renewable energy use and trade openness in 24 Organisation for Economic Co-operation and Development countries. For this purpose, we investigate the period from 1980 to 2014 using with second generation panel data methodologies which allow to cross-sectional dependence among countries. The group-mean results show that the inverted U-shaped Environmental Kuznets Curve hypothesis does not hold in Organisation for Economic Co-operation and Development countries because we found the U-shaped relationship between economic growth and ecological footprint. In addition, it is concluded that increasing renewable energy consumption reduces ecological footprint and increasing non-renewable energy consumption increases environmental degradation.

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Metadata

Authors
Destek, M. A., & Sinha, A.
Venue
Journal of Cleaner Production
Publisher
Elsevier BV
Published
2020-01
Volume
242
Pages
118537
ISSN
0959-6526 (ISSN-L)
OpenAlex
W2975446977
Cited by
1,135
References
5
FWCI
151.18
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Renewable, non-renewable energy consumption, economic growth, trade openness and ecological footprint: Evidence from organisation for economic Co-operation and development countries. https://app.cochat.ai/papers/10.1016/j.jclepro.2019.118537
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Destek, M. A., & Sinha, A. (2020). Renewable, non-renewable energy consumption, economic growth, trade openness and ecological footprint: Evidence from organisation for economic Co-operation and development countries. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2019.118537

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.