The nonlinear impact of renewable energy on CO2 emissions: empirical evidence across regions in China

The nonlinear impact of renewable energy on CO2 emissions: empirical evidence across regions in China

This paper studies the nonlinear impact of renewable energy on CO 2 emissions with a panel of 30 Chinese provinces over the period 1990-2016. The Pooled Mean Group (PMG) estimator is applied for estimation, allowing for both long-run effects and short-run heterogeneity across provinces. The results...

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Veröffentlicht in:Applied economics letters 2020-08, Vol.27 (14), p.1150-1155
Hauptverfasser: Li, Peng, Ouyang, Yaofu, Zhang, Lina
Format: Artikel
Sprache:eng
Schlagworte:
Carbon dioxide
China
Economic analysis
Economic theory
Economics
Emissions
PMG
Provinces
Renewable energy
Renewable resources
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Zusammenfassung:This paper studies the nonlinear impact of renewable energy on CO 2 emissions with a panel of 30 Chinese provinces over the period 1990-2016. The Pooled Mean Group (PMG) estimator is applied for estimation, allowing for both long-run effects and short-run heterogeneity across provinces. The results reveal an inverted U-shaped relationship between renewable energy and CO 2 emissions.
ISSN:1350-4851
1466-4291
DOI:10.1080/13504851.2019.1673878