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

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 ha...

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Bibliographic Details
Published in:Environment and development economics 2017-12, Vol.22 (6), p.699-724
Main Authors: Stern, David I., Gerlagh, Reyer, Burke, Paul J.
Format: Article
Language:English
Subjects:
Carbon
Carbon dioxide
Correlation analysis
Econometrics
Economic growth
Economic models
Elasticity
Emissions
Environmental economics
Environmental Kuznets curve
Fossil fuels
GDP
Gross Domestic Product
Growth rate
Hypotheses
Income
Modelling
Per capita
Statistical analysis
Sulfur
Sulfur dioxide
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Summary: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.
ISSN:1355-770X
1469-4395
DOI:10.1017/S1355770X17000109