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The Distributional Effect of A Carbon Tax on Income in Taiwan

Author

Listed:
  • Chun-Chiang Feng

    (Institute of Nuclear Energy Research, Atomic Energy Council, Taoyuan City 32546, Taiwan)

  • Kuei-Feng Chang

    (PhD Program in Business, Chung Yuan Christian University, Taoyuan City 32023, Taiwan)

  • Jin-Xu Lin

    (Department of International Business, Chung Yuan Christian University, Taoyuan City 32023, Taiwan)

  • Shih-Mo Lin

    (Department of International Business, Chung Yuan Christian University, Taoyuan City 32023, Taiwan)

Abstract

Environmental issues have become more important worldwide. A carbon tax is a strong tool for cutting carbon emissions directly through the internalization of the external costs of pollution. To mitigate the impact of carbon taxation, it is necessary to recycle the tax revenue into other taxes, subsidies, and transfers. In Taiwan, carbon tax policy has been under consideration. To analyze the effect of carbon tax and tax revenue recycling, this paper adopts a recursive dynamic computable general equilibrium (CGE) model—General Equilibrium Model for Energy, Environment, and Technology (GEMEET)—under a comprehensive economic systems framework. The results show that a suitable recycling mechanism is a key factor for the success of green tax reform for a significant improvement in the economy, environment, and in income distribution, simultaneously.

Suggested Citation

  • Chun-Chiang Feng & Kuei-Feng Chang & Jin-Xu Lin & Shih-Mo Lin, 2020. "The Distributional Effect of A Carbon Tax on Income in Taiwan," Sustainability, MDPI, vol. 12(4), pages 1-17, February.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:4:p:1530-:d:322232
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    References listed on IDEAS

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    Cited by:

    1. Feng, Chun-Chiang & Chang, Kuei-Feng & Lin, Jin-Xu & Lee, Tsung-Chen & Lin, Shih-Mo, 2022. "Toward green transition in the post Paris Agreement era: The case of Taiwan," Energy Policy, Elsevier, vol. 165(C).
    2. Jingyu Liu & Weidong Meng & Bo Huang & Yuyu Li, 2022. "Factors Influencing Intergovernmental Cooperation on Emission Reduction in Chengdu-Chongqing Urban Agglomeration: An Evolutionary Game Theory Perspective," IJERPH, MDPI, vol. 19(22), pages 1-20, November.
    3. Charlotte Senkpiel & Audrey Dobbins & Christina Kockel & Jan Steinbach & Ulrich Fahl & Farina Wille & Joachim Globisch & Sandra Wassermann & Bert Droste-Franke & Wolfgang Hauser & Claudia Hofer & Lars, 2020. "Integrating Methods and Empirical Findings from Social and Behavioural Sciences into Energy System Models—Motivation and Possible Approaches," Energies, MDPI, vol. 13(18), pages 1-30, September.

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