The impact of energy consumption on carbon emissions intensity in China: evidence from a dynamic panel quantile regression model

Author:

Hou Jian1,Yang Shenyang1,Fan Guoliang1,Xu Hongxia2ORCID

Affiliation:

1. Shanghai Maritime University School of Economics and Management, , 1550, Haigang Avenue, Pudong New District, Shanghai 201306, China

2. Shanghai Maritime University School of Science, , 1550, Haigang Avenue, Pudong New District, Shanghai 201306, China

Abstract

Abstract China, being the largest global emitter of carbon, faces significant challenges in mitigating carbon emissions from energy consumption. The empirical findings reveal that the impact of energy consumption intensity and energy consumption structure on carbon emissions intensity is positively correlated with quantile levels and shows heterogeneous effects in different regions. Employing an energy consumption structure as a threshold variable to examine the impact of energy consumption intensity on carbon emissions intensity, we identify a significant single threshold effect in both the full sample and the western sample. Based on empirical research findings, this paper proposes specific policy recommendations.

Funder

National Social Science Fund of China

Publisher

Oxford University Press (OUP)

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