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UCL Discovery
Article . 2023
Data sources: UCL Discovery
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Energy Policy
Article . 2023 . Peer-reviewed
License: Elsevier TDM
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How carbon emission prices accelerate net zero: Evidence from China's coal-fired power plants

Authors: Qingyang Wu; Chang Tan; Daoping Wang; Yongtao Wu; Jing Meng; Heran Zheng;

How carbon emission prices accelerate net zero: Evidence from China's coal-fired power plants

Abstract

China produced over half the world's coal-fired power capacity. Using a recent and comprehensive dataset of 1269 Chinese coal-fired power plants from 2009 to 2019, this paper provides empirical evidence of the impact of China's carbon trading pilot program on emissions regulation. Results show the significant potential for emissions intensity reduction due to increasing carbon prices, especially for low-risk, low-efficiency but high-cost plants, particularly those in China's midland and western regions. Rising marginal abatement costs and accelerated depreciation from carbon prices may encourage utilities to retire high-emission power plants sooner than originally planned, leading to lower emissions intensity. The average retirement years of China's power plants can be shortened by 1.8001 and 1.6862 years under R2CUT and R2LUMP scenarios, respectively, as Cao et al. (2016). This study offers new insights into the impact of carbon prices on power plants and has important policy implications.

Country
United Kingdom
Related Organizations
Keywords

Net-zero retirement, 338, Carbon emission price, Coal-fired power plants, Carbon emission intensity, Accelerated depreciation, Marginal abatement cost

  • BIP!
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    citations
    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).
    30
    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
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!
30
Top 10%
Top 10%
Top 10%
Green