2006
DOI: 10.2139/ssrn.902703
|View full text |Cite
|
Sign up to set email alerts
|

The Impact of Population on CO2 Emissions: Evidence from European Countries

Abstract: SummaryThis paper analyses the impact of population growth on CO2 emissions in European Union countries. Traditionally, researchers have assumed a unitary elasticity of emissions with respect to population growth. In this study population is treated as a predictor in the model, instead of being included as part of the dependent variable (per capita emissions), thus relaxing the above-mentioned assumption of unitary elasticity. We also contribute to the existing literature by taking into account the presence of… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2008
2008
2023
2023

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 12 publications
(1 citation statement)
references
References 66 publications
0
1
0
Order By: Relevance
“…Moreover, the random effect term, u 1 , is highly significant at the 0.001 level, showing that per capita GDP is indeed a significant driver of emissions trends, but has different effects on different countries. 18 The countryyear level R-squared term and LR test result confirm that the RCM performs much better than the RIM and equivalent OLS. 19 Strikingly, the new model explains 91.61% of country-year variance, a significant improvement from the 13.1% R-squared value in the RIM.…”
Section: Resultsmentioning
confidence: 74%
“…Moreover, the random effect term, u 1 , is highly significant at the 0.001 level, showing that per capita GDP is indeed a significant driver of emissions trends, but has different effects on different countries. 18 The countryyear level R-squared term and LR test result confirm that the RCM performs much better than the RIM and equivalent OLS. 19 Strikingly, the new model explains 91.61% of country-year variance, a significant improvement from the 13.1% R-squared value in the RIM.…”
Section: Resultsmentioning
confidence: 74%