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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Renewable and Sustai...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Renewable and Sustainable Energy Reviews
Article . 2015 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Estimating the Environment Kuznets Curve hypothesis: Evidence from Latin America and the Caribbean countries

Authors: Ilhan Ozturk; Usama Al-mulali; Chor Foon Tang;

Estimating the Environment Kuznets Curve hypothesis: Evidence from Latin America and the Caribbean countries

Abstract

This study explores the effect of economic growth (GDP), renewable energy consumption (RE) and financial development (FD) on CO2 emission (CO2) in Latin America and Caribbean countries. To achieve this goal, a panel CO2 model was built over the period 1980–2010. The Kao cointegration test results revealed that the variables are cointegrated. The Fully Modified OLS (FMOLS) results indicated an inverted U-shape relationship between CO2 and GDP, thus confirming the Environmental Kuznets Curve hypothesis. Furthermore, FMOLS results also revealed that FD can improve environmental quality by its negative long-run effect on CO2. However, RE has no long-run effect on CO2 indicating that the RE does not contribute to CO2 reduction. The VECM Granger causality results revealed feedback causality between GDP, RE, FD and CO2 in both short- and long-run. Additionally, Granger causality results also revealed that RE, GDP, and FD can be a good solution to reduce environmental damage since they have a causal effect on CO2. This study shows the investigated countries should increase their banking loans on green energy, energy efficiency and energy saving projects to reduce environmental damage. In addition, the above recommendation can increase the contribution of renewable energy in reducing environmental damage.

  • BIP!
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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).
    156
    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.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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Found an issue? Give us feedback
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!
156
Top 1%
Top 10%
Top 1%