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

Jian Hou, Shenyang Yang, Guoliang Fan and Hongxia Xu

International Journal of Low-Carbon Technologies, 2024, vol. 19, 268-288

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.

Keywords: energy consumption; carbon emission intensity; dynamic panel quantile regression; dynamic panel threshold effect model (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:oup:ijlctc:v:19:y:2024:i::p:268-288.

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