The relationship among CO2 emissions, electricity power consumption and GDP in OECD countries

This paper proposes a panel vector error correction model investigation of a quadratic relationship linking CO2 emissions, GDP levels and electric power consumption. We find that two independent long-run relationships emerge from the data. Since the null of homogeneity across units with regard to lo...

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Publié dans:369 EGFR SIGNALING IMPAIRS THE ANTIVIRAL ACTIVITY OF INTERFERON-ALPHA. - 2013 JPMOD : a social science forum of world issues. - Amsterdam [u.a.]
Auteur principal: Bella, Giovanni (Auteur)
Autres auteurs: Massidda, Carla (Autre), Mattana, Paolo (Autre)
Format: Article en ligne
Langue:English
Publié: 2014transfer abstract
Accès à la collection:369 EGFR SIGNALING IMPAIRS THE ANTIVIRAL ACTIVITY OF INTERFERON-ALPHA
Sujets:Energy consumption Panel analysis Environmental Kuznets Curve CO2 emissions
Description matérielle:16
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520 |a This paper proposes a panel vector error correction model investigation of a quadratic relationship linking CO2 emissions, GDP levels and electric power consumption. We find that two independent long-run relationships emerge from the data. Since the null of homogeneity across units with regard to long-run elasticities is strongly rejected, we proceed by clustering countries according to the signs of the estimated coefficients. The approach allows us to form three groups: in the first there is evidence of an optimistic scenario, where both CO2 emissions and electric power consumption are bound to decrease in the long-run. An optimistic scenario for emissions reduction is also provided in the second cluster where, however, the long-run relationship between income and electric power consumption shows an U-shaped pattern, instead. Finally, the third cluster can be associated with a much worrying scenario where per capita CO2 is expected to grow with income. A joint consideration of long-run parameters and causality links allows us to propose cluster-tailored policy suggestions. 
520 |a This paper proposes a panel vector error correction model investigation of a quadratic relationship linking CO2 emissions, GDP levels and electric power consumption. We find that two independent long-run relationships emerge from the data. Since the null of homogeneity across units with regard to long-run elasticities is strongly rejected, we proceed by clustering countries according to the signs of the estimated coefficients. The approach allows us to form three groups: in the first there is evidence of an optimistic scenario, where both CO2 emissions and electric power consumption are bound to decrease in the long-run. An optimistic scenario for emissions reduction is also provided in the second cluster where, however, the long-run relationship between income and electric power consumption shows an U-shaped pattern, instead. Finally, the third cluster can be associated with a much worrying scenario where per capita CO2 is expected to grow with income. A joint consideration of long-run parameters and causality links allows us to propose cluster-tailored policy suggestions. 
650 7 |a Energy consumption  |2 Elsevier 
650 7 |a Panel analysis  |2 Elsevier 
650 7 |a Environmental Kuznets Curve  |2 Elsevier 
650 7 |a CO2 emissions  |2 Elsevier 
700 1 |a Massidda, Carla  |4 oth 
700 1 |a Mattana, Paolo  |4 oth 
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