4.8 Article

How would an emissions trading scheme affect provincial economies in China: Insights from a computable general equilibrium model

Journal

RENEWABLE & SUSTAINABLE ENERGY REVIEWS
Volume 145, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.rser.2021.111034

Keywords

Climate change mitigation; Emissions trading system; Carbon pricing; Economic impact of carbon pricing; Emissions quota allocation; Auction; Dynamic multi-regional CGE model

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The study reveals that the emissions trading system will reduce CO2 emissions by 4%-22% in 2030 across 31 Chinese provinces. Some provinces may experience GDP losses under certain emissions allocation rules, while others may see GDP gains. However, emissions-intensive provinces like Neimenggu, Ningxia, Shanxi, and Shaanxi are likely to face higher GDP loss regardless of the allocation rules.
This paper analyzes the economic impacts of a national emissions trading scheme in 31 Chinese provinces. The emissions trading system is assumed to accomplish China's emissions reduction targets set under the Paris Climate Agreement. A multi-regional, multi-sectoral, recursive-dynamic computable general equilibrium model is developed for the analysis. The results show that the emissions trading scheme would reduce provincial CO2 emissions by 4%-22% relative to the baseline levels in 2030. It would cause the provincial GDP to change from -4.6% to 1.8% relative to the 2030 baseline levels. The magnitudes of the impacts on provincial economies and CO2 emissions are sensitive to initial emissions allocation rules. Some provinces that face GDP loss under one rule of emissions allocation would experience GDP gains under the other rules, and vice versa. However, emissionsintensive provincial economies-Neimenggu, Ningxia, Shanxi, and Shaanxi-are found to experience higher GDP loss irrespective of the allowance allocation rules. Meanwhile, Fujian, Guangdong, Guangxi, and Liaoning are found to experience higher GDP under all the rules of allowances allocation.

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