2017
DOI: 10.1007/s11356-017-9109-z
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Are renewable energy policies upsetting carbon dioxide emissions? The case of Latin America countries

Abstract: The impact of renewable energy policies in carbon dioxide emissions was analysed for a panel of ten Latin American countries, for the period from 1991 to 2012. Panel autoregressive distributed lag methodology was used to decompose the total effect of renewable energy policies on carbon dioxide emissions in its short- and long-run components. There is evidence for the presence of cross-sectional dependence, confirming that Latin American countries share spatial patterns. Heteroskedasticity, contemporaneous corr… Show more

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Cited by 110 publications
(130 citation statements)
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“…Fuinhas, et al 2016, Hashem et al 2001). This methodology is the best choice, due to the capacity to decomposing the global effects in the shortand long-run in the analysis.…”
Section: Methodsmentioning
confidence: 99%
“…Fuinhas, et al 2016, Hashem et al 2001). This methodology is the best choice, due to the capacity to decomposing the global effects in the shortand long-run in the analysis.…”
Section: Methodsmentioning
confidence: 99%
“…The PMG estimator makes restrictions among cross-sections and adjustment speed term. This estimator in the existence of homogeneity in long-run, this estimator is more efficient than MG estimator (Fuinhas, et al 2017). …”
Section: Methodsmentioning
confidence: 88%
“…According to Fuinhas et al (2017) and Koengkan (2017a), the ARDL methodology has a capacity to decompose the total effect of variables into in the short-and long-run components. Moreover, the authors complement that this methodology is consistent with efficient estimations and parameter inferences based on the standard test.…”
Section: Methodsmentioning
confidence: 99%
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