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

Date

2017

Authors

Stern, David
Gerlagh, Reyer
Burke, Paul J.

Journal Title

Journal ISSN

Volume Title

Publisher

Cambridge University Press

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.

Description

Keywords

economic growth, decoupling, pollution, environmental Kuznets curve, convergence

Citation

Stern, David I., Gerlagh, Reyer, and Burke, Paul J. 2017. 'Modeling the emissions-income relationship using long-run growth rates.' Environment and Development Economics 22(6), 699–724.

Source

Environment and Development Economics

Type

Journal article

Book Title

Entity type

Access Statement

Open Access

License Rights

DOI

10.1017/S1355770X17000109

Restricted until

2037-12-31