The economic effects of carbon tax on China's provinces

Kun Zhang, Mei Mei Xue, Kuishuang Feng, Qiao Mei Liang*

*Corresponding author for this work

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    Abstract

    The responsibility for carbon emissions tends to be different under different emission accounting principles. By applying the latest 2012 Chinese multi-regional input–output table, this study evaluated the impacts of carbon tax on tax burdens and sectoral competitiveness in Chinese provinces when considering either production-based or consumption-based emissions. Our results indicated that, in the scenario of cutting production tax for carbon tax, the developed provinces, such as Beijing, Shanghai, Zhejiang, and Jiangsu, who are much bigger payers of production tax, are net beneficiaries of carbon tax. In contrast, recycling the tax revenues to low-income households makes the less-developed provinces in the central and western China become net revenue receivers. Furthermore, for competitiveness effects, the emission intensive sectors, such as Electricity and hot water production and supply, Petroleum and gas, and Metal products, are impacted vitally under both accounting principles in all provinces. Nevertheless, compared with the production-based principle, a consumption-based carbon tax could reduce the unfavorable competitiveness effects of most affected sectors in the less-developed provinces, while slightly increasing those effects in the developed provinces. Our results provide new information on the regional impacts of carbon tax based two different accounting principles with different tax revenue recycling scenarios.

    Original languageEnglish
    Pages (from-to)784-802
    Number of pages19
    JournalJournal of Policy Modeling
    Volume41
    Issue number4
    DOIs
    Publication statusPublished - 1 Jul 2019

    Keywords

    • Accounting principles
    • Carbon emissions
    • China
    • Multi-regional input–output analysis

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    Zhang, K., Xue, M. M., Feng, K., & Liang, Q. M. (2019). The economic effects of carbon tax on China's provinces. Journal of Policy Modeling, 41(4), 784-802. https://doi.org/10.1016/j.jpolmod.2019.02.014