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Environment Kuznets curve for CO2 emissions: A cointegration analysis for China
- Source :
- Energy Policy
- Publication Year :
- 2009
- Publisher :
- Elsevier BV, 2009.
-
Abstract
- Cataloged from PDF version of article. This study examines the long-run relationship between carbon emissions and energy consumption, income and foreign trade in the case of China by employing time series data of 1975–2005. In particular the study aims at testing whether environmental Kuznets curve (EKC) relationship between CO2 emissions and per capita real GDP holds in the long run or not. Auto regressive distributed lag (ARDL) methodology is employed for empirical analysis. A quadratic relationship between income and CO2 emission has been found for the sample period, supporting EKC relationship. The results of Granger causality tests indicate one way causality runs through economic growth to CO2 emissions. The results of this study also indicate that the carbon emissions are mainly determined by income and energy consumption in the long run. Trade has a positive but statistically insignificant impact on CO2 emissions. & 2009 Elsevier Ltd. All rights reserved.
- Subjects :
- Macroeconomics
Distributed lag
China
Cointegration analysis
Time series
Trade-environment relations
Asia
Far East
Economics
Environmental economics
Time-series data
Time series analysis
International trade
Carbon emission
Energy Consumption
Management, Monitoring, Policy and Law
Environment Kuznets Curve
Energy use
Environmental impact
Vector autoregression
Economic growths
Granger causality
Kuznets curve
Per capita
Economic growth
Carbon emissions
Cointegration
Co2 Emissions
Empirical analysis
Granger causality test
Econometric model
General Energy
Real gross domestic product
Auto-regressive
Greenhouse gas
Eurasia
Subjects
Details
- ISSN :
- 03014215
- Volume :
- 37
- Database :
- OpenAIRE
- Journal :
- Energy Policy
- Accession number :
- edsair.doi.dedup.....ff17899676bef773da81c24e0df142a0
- Full Text :
- https://doi.org/10.1016/j.enpol.2009.07.044