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Modeling the emissions–income relationship using long-run growth rates
- Source :
- Environment and Development Economics, 22(6), 699-724. CAMBRIDGE UNIV PRESS
- Publication Year :
- 2017
- Publisher :
- Cambridge University Press (CUP), 2017.
-
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.
- Subjects :
- Pollution
Economics and Econometrics
020209 energy
media_common.quotation_subject
Population
ENVIRONMENTAL KUZNETS CURVE
Sample (statistics)
02 engineering and technology
PART
Development
LADDER
Kuznets curve
CONVERGENCE
0202 electrical engineering, electronic engineering, information engineering
Per capita
Econometrics
Economics
education
POPULATION
General Environmental Science
media_common
education.field_of_study
ECONOMIC-GROWTH
Convergence (economics)
Per capita income
CARBON-DIOXIDE EMISSIONS
CO2 EMISSIONS
Full data
Subjects
Details
- ISSN :
- 14694395 and 1355770X
- Volume :
- 22
- Database :
- OpenAIRE
- Journal :
- Environment and Development Economics
- Accession number :
- edsair.doi.dedup.....4d41ad013d4806eed147f1c48178b642
- Full Text :
- https://doi.org/10.1017/s1355770x17000109