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Environmental Science and Pollution Research
Article . 2023 . Peer-reviewed
License: CC BY
Data sources: Crossref
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https://dx.doi.org/10.60692/1p...
Other literature type . 2023
Data sources: Datacite
https://dx.doi.org/10.60692/gk...
Other literature type . 2023
Data sources: Datacite
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Testing the environmental Kuznets curve hypothesis in terms of ecological footprint and CO2 emissions through energy diversification for Turkey

اختبار فرضية منحنى كوزنتس البيئي من حيث البصمة البيئية وانبعاثات ثاني أكسيد الكربون من خلال تنويع الطاقة لتركيا
Authors: Hakan Acaroğlu; Hatice Melissa Kartal; Fausto Pedro García Márquez;

Testing the environmental Kuznets curve hypothesis in terms of ecological footprint and CO2 emissions through energy diversification for Turkey

Abstract

AbstractThis research work analyzes the relationship between environmental degradation, economic growth, trade openness, primary energy consumption, coal consumption, and hydroelectricity consumption in Turkey from 1971 to 2015 using the autoregressive distributed lag (ARDL) time series approach through the hypothesis of the environmental Kuznets curve (EKC). Carbon dioxide (CO2) emissions and ecological footprint are both used as indicators of environmental degradation, which employs six different models. According to the results found in this study, while trade openness increases CO2 emissions, it decreases ecological footprint in the long-run. Coal consumption raises both CO2 emissions and ecological footprint. While hydroelectric energy reduces CO2 emissions, it has no effect on the environment. The results demonstrate that the EKC hypothesis is correct for both CO2 emissions and Turkey’s ecological footprint. The threshold points are investigated as $18,704, $16,361, and $13,571 in models, where CO2 emissions are the dependent variable. In models where the ecological footprint is the dependent variable, the investigated threshold points of $11,824, $11,821, and $15,476 are higher than the gross domestic product (GDP) per capita during the analysis periods. Furthermore, the findings highlight the importance of renewable energy use in reducing environmental degradation and coal use in increasing environmental degradation. These findings can shed light on the importance of transition to renewable energy sources (i.e., hydroelectricity consumption), from fossil fuels (i.e., coal consumption), related to future planning in energy diversification for Turkey.

Keywords

Renewable energy, Turkey, Economics, Social Sciences, Economic Impact of Environmental Policies and Resources, Engineering, Natural resource economics, Sociology, Renewable energy consumption, Hydroelectricity, Kuznets curve, Carbon Footprint, Ecology, Per capita, Pollution, FOS: Sociology, Economics, Econometrics and Finance, Coal, Sustainability, Physical Sciences, Economic Development, Economics and Econometrics, The EKC hypothesis, Environmental Engineering, Population, CO2 emissions, Greenhouse gas, Environmental science, FOS: Economics and business, Life Cycle Assessment and Environmental Impact Analysis, Indoor Air Pollution in Developing Countries, Distributed lag, Ecological footprint, Renewable Energy, Econometrics, Waste management, Biology, Economic growth, Demography, Energy diversification, FOS: Environmental engineering, Carbon Dioxide, Environmental degradation, Energy consumption, FOS: Biological sciences, Environmental Science, Kuznets Curve

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
28
Top 10%
Average
Top 10%
Green
hybrid
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