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The role of emissions trading mechanisms and technological progress in achieving China’s regional clean air target: a CGE analysis

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  • Xili Ma
  • Huiqing Wang
  • Weixian Wei

Abstract

In this article, a multi-regional dynamic computable general equilibrium model is built to study the impacts of $${\rm{S}}{O_2}$$SO2 emissions trading and technological progress on the economy under the premise of achieving the targeted air pollution control objectives. The results show that, if air quality in the South and the Pearl River Delta reaches the national standard of level I, and other regions reach Level II by 2030 via implementing an emissions trading mechanism, the industry structure will be improved and $${\rm{C}}{O_2}$$CO2 emissions will drop 30–40% nationwide compared to the baseline scenario.

Suggested Citation

  • Xili Ma & Huiqing Wang & Weixian Wei, 2019. "The role of emissions trading mechanisms and technological progress in achieving China’s regional clean air target: a CGE analysis," Applied Economics, Taylor & Francis Journals, vol. 51(2), pages 155-169, January.
    • Handle: RePEc:taf:applec:v:51:y:2019:i:2:p:155-169
    DOI: 10.1080/00036846.2018.1494807
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    Cited by:

    1. Luyuan Xu & Wei Wang, 2021. "A Quantitative Relationship Analysis of Industry Shifts and Trade Restructuring in ASEAN Based on Multiregional Computable General Equilibrium Models," Complexity, Hindawi, vol. 2021, pages 1-12, February.
    2. Shengxian Ge & Xianyu Yu & Dequn Zhou & Xiuzhi Sang, 2019. "The Integrated Effect of Carbon Emissions Trading and Pollution Rights Trading for Power Enterprises—A Case Study of Chongqing," Sustainability, MDPI, vol. 11(11), pages 1-17, June.
    3. Keyao Chen & Guizhi Wang & Lingyan Wu & Jibo Chen & Shuai Yuan & Qi Liu & Xiaodong Liu, 2019. "PM 2.5 Pollution: Health and Economic Effect Assessment Based on a Recursive Dynamic Computable General Equilibrium Model," IJERPH, MDPI, vol. 16(24), pages 1-17, December.

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