Modeling the emissions–income relationship using long-run growth rates

David Stern, Reyer Gerlagh and Paul Burke ()

Environment and Development Economics, 2017, vol. 22, issue 6, 699-724

Abstract: The authors adopt a new approach to modeling the relationship between emissions and income using long-run per capita growth rates. This approach allows them to test multiple hypotheses about the drivers of per capita emissions in a single framework and avoid several of the econometric issues that have plagued the environmental Kuznets curve literature. They estimate models for carbon and sulfur dioxide emissions. They can reject restricted models that omit either growth or beta convergence effects. Although the term representing the environmental Kuznets effect is statistically significant for per capita carbon and sulfur dioxide emissions, the estimated income per capita turning points are out of the sample for the full data set.

Date: 2017
References: Add references at CitEc
Citations: View citations in EconPapers (17)

Downloads: (external link)
https://www.cambridge.org/core/product/identifier/ ... type/journal_article link to article abstract page (text/html)

Related works:
Working Paper: Modeling the Emissions-Income Relationship Using Long-Run Growth Rates (2014)
Working Paper: Modeling the Emissions-Income Relationship Using Long-Run Growth Rates
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cup:endeec:v:22:y:2017:i:06:p:699-724_00

Access Statistics for this article

More articles in Environment and Development Economics from Cambridge University Press Cambridge University Press, UPH, Shaftesbury Road, Cambridge CB2 8BS UK.
Bibliographic data for series maintained by Kirk Stebbing ().