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Part of book or chapter of book . 2025 . Peer-reviewed
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Part of book or chapter of book . 2025
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Research on the Carbon Emission Reduction Effect of China’s Carbon Emission Trading Policy

Authors: Guo, Changqing; Zhu, Yongzhan;

Research on the Carbon Emission Reduction Effect of China’s Carbon Emission Trading Policy

Abstract

This paper empirically evaluates the carbon emission reduction effects of China’s carbon emission trading policy using panel data from 30 provinces from 2005 to 2022, applying the synthetic control method based on LASSO. The study finds that: First, the carbon emission trading policy significantly reduces carbon intensity in pilot regions. Second, the policy effect shows significant regional heterogeneity, with the carbon intensity reduction in Industrial Transition Zones (Chongqing, Hubei, Tianjin) being significantly higher than that in Service-Innovation Hubs (Beijing, Shanghai, Guangdong). The study recommends: 1) Optimizing the design of the carbon emission trading mechanism to enhance policy flexibility; and 2) Strengthening regional coordination to promote balanced policy effects. This research provides empirical evidence for improving carbon emission trading policies and holds important theoretical and practical significance for advancing China’s “Dual Carbon” goals.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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