Journal
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
Volume 24, Issue 17, Pages 15044-15054Publisher
SPRINGER HEIDELBERG
DOI: 10.1007/s11356-017-9109-z
Keywords
Latin America; CO2 emissions; Renewable energy policies; Panel autoregressive distributed lag
Categories
Funding
- NECE-UBI, Research Unit in Business Science and Economics
- Portuguese Foundation for the Development of Science and Technology [UID/GES/04630/2013]
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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 correlation, and first-order autocorrelation cross-sectional dependence are also present. To cope with these phenomena, the robust dynamic Driscoll-Kraay estimator, with fixed effects, was used. It was confirmed that the primary energy consumption per capita, in both the short- and long-run, contributes to an increase in carbon dioxide emissions, and also that renewable energy policies in the long-run, and renewable electricity generation per capita both in the short- and long-run, help to mitigate per capita carbon dioxide emissions.
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