Modeling the Emissions-Income Relationship Using Long-Run Growth Rates
Paul Burke (),
Reyer Gerlagh and
David Stern ()
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Zeba Anjum: Crawford School of Public Policy, The Australian National University
CCEP Working Papers from Centre for Climate Economics & Policy, Crawford School of Public Policy, The Australian National University
We adopt a new representation of the relationship between emissions and income using long-run growth rates. Our approach allows us 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 previous studies. We find that for carbon dioxide emissions, scale, convergence, and resource endowment effects are statistically significant. For sulfur emissions, the scale and convergence effects are significant, there is a strong negative time effect, and non-English legal origin and higher population density are associated with more rapidly declining emissions. The environmental Kuznets effect is not statistically significant in our full sample for either carbon or sulfur.
Keywords: Economic growth; decoupling; pollution; environmental Kuznets curve; convergence (search for similar items in EconPapers)
JEL-codes: Q56 O44 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ene, nep-env, nep-gro and nep-res
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Journal Article: Modeling the emissions–income relationship using long-run growth rates (2017)
Working Paper: Modeling the Emissions-Income Relationship Using Long-Run Growth Rates
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Persistent link: https://EconPapers.repec.org/RePEc:een:ccepwp:1403
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