Simulation Analysis of Carbon Tax’s Impact on China’s Economy Based on Dynamic CEG Model

  • Chen NianEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1147)


This paper constructs a multi sector recursive dynamic computable general equilibrium model, analyzes the impact of carbon tax on China’s economy and carbon intensity, considering the reality of China’s economic development and carbon emission reduction, and discusses the impact of carbon tax on China’s economic growth, social welfare, income consumption of rural and urban residents, and output of various sectors under the tax return policy, and from 2020 From the perspective of 2030 emission reduction target, the long-term effects of carbon tax on carbon emissions, carbon intensity, and non-fossil energy consumption structure change under different scenarios are compared.


Carbon tax Dynamic CGE model Tax return Emission reduction target 


  1. 1.
    Whalley, J., Wigle, R.: Results for the OECD comparative modeling project from the Whalley-Wigle Model. OECD Economics Department Working Papers. OECD Publishing (1992)Google Scholar
  2. 2.
    Whalley, J., Wigle, R.: Cutting CO2 emissions: the effect of alternative policy approaches. Energy J. 12(1), 109–124 (1991)CrossRefGoogle Scholar
  3. 3.
    O’Ryan, R., Miguel, C.J.D., Miller, S., et al.: Computable general equilibrium model analysis of economy wide cross effects of social and environmental policies in Chile. Ecol. Econ. 54(4), 447–472 (2005)CrossRefGoogle Scholar
  4. 4.
    Wissema, W., Dellink, R.: AGE analysis of the impact of a carbon energy tax on the Irish economy. Ecol. Econ. 61(4), 671–683 (2007)CrossRefGoogle Scholar
  5. 5.
    Allan, G., Lecca, P., McGregor, P., et al.: The economic and environmental impact of a carbon tax for Scotland: a computable general equilibrium analysis. Ecol. Econ. 100(100), 40–50 (2014)CrossRefGoogle Scholar

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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Yunnan Technology and Business UniversityKunmingChina

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