Structural Substitution Rather Than Efficiency Improvement in Thermal Power Sector Achieved by China’s Pilot Carbon Markets

Haoqi Qian et al.

Energy Journal2025https://doi.org/10.1177/01956574251315386article
AJG 3ABDC A
Weight
0.46

Abstract

Thermal power sector plays a crucial role in achieving China’s climate mitigation targets due to its large contribution to the nation’s overall carbon emissions. This study constructs a unique nationwide unit-level dataset containing more than 1,000 coal-fired power units (CPUs) to evaluate the heterogeneous effects of China’s pilot Emission Trading Schemes (ETSs). Results disclose that the pilot ETSs generate a prominent reduction effect of coal consumption through electricity production shrinkage and output substitution among generation units. CPUs’ energy efficiencies have barely improved in the short run and even have been worsened in the longer term. From the market perspective, active tradings, higher prices and stringent benchmark standards are conducive to efficiency improvement but also bring uncertain impacts on coal abatement. Stringent benchmark standards and China’s administrative dispatching system contribute and strengthen the structural substitutions toward high-capacity CPUs. Finally, counterfactual simulation shows that the structural substitutions result in uneven distributions of air pollution co-benefits brought by the pilot ETS. JEL Classification: C21, Q48, Q54

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https://doi.org/https://doi.org/10.1177/01956574251315386

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@article{haoqi2025,
  title        = {{Structural Substitution Rather Than Efficiency Improvement in Thermal Power Sector Achieved by China’s Pilot Carbon Markets}},
  author       = {Haoqi Qian et al.},
  journal      = {Energy Journal},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1177/01956574251315386},
}

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Evidence weight

0.46

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.37 × 0.4 = 0.15
M · momentum0.60 × 0.15 = 0.09
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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