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

Jun Pang and Govinda Timilsina ()

Renewable and Sustainable Energy Reviews, 2021, vol. 145, issue C

Abstract: 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, emissions-intensive 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.

Keywords: Climate change mitigation; Emissions trading system; Carbon pricing; Economic impact of carbon pricing; Emissions quota allocation; Auction; Dynamic multi-regional CGE model (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1016/j.rser.2021.111034

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