The CO2–growth nexus revisited: A nonparametric analysis for the G7 economies over nearly two centuries

Using a long dataset and some recently popularized nonparametric econometric techniques, this study revisits the nexus between economic growth and carbon dioxide (CO2) emissions for the G7 countries over nearly two centuries. The use of nonparametric modelling is warranted by the fact that long hist...

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Bibliographic Details
Published inEnergy economics Vol. 65; pp. 183 - 193
Main Authors Shahbaz, Muhammad, Shafiullah, Muhammad, Papavassiliou, Vassilios G., Hammoudeh, Shawkat
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.06.2017
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Summary:Using a long dataset and some recently popularized nonparametric econometric techniques, this study revisits the nexus between economic growth and carbon dioxide (CO2) emissions for the G7 countries over nearly two centuries. The use of nonparametric modelling is warranted by the fact that long historical time series are often subject to structural breaks and other forms of nonlinearity over the course of time. We employ nonparametric cointegration and causality tests along with the cross-validated Local Linear regression analysis and validate the existence of the environmental Kuznets curve in six of the G7 countries – Canada, France, Germany, Italy, U.K. and the U.S. – and the only exception is Japan. Our empirical analysis also finds CO2 emissions and economic growth to be cointegrated and closely interrelated in the Granger sense. Our results are robust and highlight the nonlinear causal relationship between the two variables. •The economic growth–CO2 emissions nexus is investigated for the G7 countries.•Recent nonparametric econometric techniques have been applied.•The EKC hypothesis is confirmed for Canada, France, Germany, Italy, U.K. and the U.S.•CO2 emissions Granger cause economic growth in Canada, Germany, U.K. and the U.S.•A feedback effect exists between the two variables for France and Italy and a neutral effect for Japan.
ISSN:0140-9883
1873-6181
DOI:10.1016/j.eneco.2017.05.007