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Coal taxation reform in China and its distributional effects on residential consumers

Author

Listed:
  • Qin, Ping.
  • Chen, Peilin.
  • Zhang, Xiao-Bing.
  • Xie, Lunyu.

Abstract

There is an ongoing reform in coal taxation in China, from a quantity-based to a price-based approach. While the coal tax could play an important role in resource conservation and air pollution reduction, its distributional effect is not well studied. This paper investigates the distributional effect of China's coal taxes on households before and after the reform. We find that about 30 percent of rural households and six percent of urban households are directly affected by the coal taxes, and that the directly affected households tend to be poor. We also find that provinces are affected differently by the coal taxes; the provinces that are more affected tend to have lower household income. By the Suits Index, we find that both the quantity-based and price-based coal taxes are regressive for residential consumers in China, and that the coal taxation reform had little effect on the regressivity of the coal tax. By simulation, we find that the regressivity of the coal tax could be reduced if the tax rate were set to be positively correlated with provincial household income.

Suggested Citation

  • Qin, Ping. & Chen, Peilin. & Zhang, Xiao-Bing. & Xie, Lunyu., 2020. "Coal taxation reform in China and its distributional effects on residential consumers," Energy Policy, Elsevier, vol. 139(C).
  • Handle: RePEc:eee:enepol:v:139:y:2020:i:c:s0301421520301221
    DOI: 10.1016/j.enpol.2020.111366
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    as
    1. Mathur, Aparna & Morris, Adele C., 2014. "Distributional effects of a carbon tax in broader U.S. fiscal reform," Energy Policy, Elsevier, vol. 66(C), pages 326-334.
    2. Klenert, David & Mattauch, Linus, 2016. "How to make a carbon tax reform progressive: The role of subsistence consumption," Economics Letters, Elsevier, vol. 138(C), pages 100-103.
    3. Jiang, Zhujun & Shao, Shuai, 2014. "Distributional effects of a carbon tax on Chinese households: A case of Shanghai," Energy Policy, Elsevier, vol. 73(C), pages 269-277.
    4. Sally Owen & Ilan Noy, 2017. "The Unfortunate Regressivity of Public Natural Hazard Insurance: A Quantitative Analysis of a New Zealand Case," CESifo Working Paper Series 6540, CESifo.
    5. Beck, Marisa & Rivers, Nicholas & Wigle, Randall & Yonezawa, Hidemichi, 2015. "Carbon tax and revenue recycling: Impacts on households in British Columbia," Resource and Energy Economics, Elsevier, vol. 41(C), pages 40-69.
    6. Arief Anshory Yusuf & Budy P. Resosudarmo, 2007. "On the Distributional Effect of Carbon Tax in Developing Countries: The Case of Indonesia," Working Papers in Economics and Development Studies (WoPEDS) 200705, Department of Economics, Padjadjaran University, revised Aug 2007.
    7. Carlson, George N. & Patrick, Melanie K., 1989. "Addressing the Regressivity of the Value-Added Tax," National Tax Journal, National Tax Association, vol. 42(3), pages 339-51, September.
    8. Kirk Hamilton & Grant Cameron, 1994. "Simulating the Distributional Effects of a Canadian Carbon Tax," Canadian Public Policy, University of Toronto Press, vol. 20(4), pages 385-399, December.
    9. Jiang, Zhujun & Ouyang, Xiaoling & Huang, Guangxiao, 2015. "The distributional impacts of removing energy subsidies in China," China Economic Review, Elsevier, vol. 33(C), pages 111-122.
    10. F.C.v.N. FOURIE & A. OWEN, 1993. "Value‐Added Tax and Regressivity in South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 61(4), pages 308-319, December.
    11. Sally Owen & Ilan Noy, 2017. "The Unfortunate Regressivity of Public Natural Hazard Insurance: A Quantitative Analysis of a New Zealand Case," CESifo Working Paper Series 6540, CESifo.
    12. Dissou, Yazid & Siddiqui, Muhammad Shahid, 2014. "Can carbon taxes be progressive?," Energy Economics, Elsevier, vol. 42(C), pages 88-100.
    13. Remler, D.K., 2004. "Poor Smokers, Poor Quitters, and Cigarette Tax Regressivity," American Journal of Public Health, American Public Health Association, vol. 94(2), pages 225-229.
    14. Sterner, Thomas, 2012. "Distributional effects of taxing transport fuel," Energy Policy, Elsevier, vol. 41(C), pages 75-83.
    15. Antonia Cornwell & John Creedy, 1996. "Carbon taxation, prices and inequality in Australia," Fiscal Studies, Institute for Fiscal Studies, vol. 17(3), pages 21-38, August.
    16. Terry Barker & Jonathan Köhler, 1998. "Equity and ecotax reform in the EU: achieving a 10 per cent reduction in CO2 emissions using excise duties," Fiscal Studies, Institute for Fiscal Studies, vol. 19(4), pages 375-402, November.
    17. Bureau, Jean-Christophe & Disdier, Anne-Célia & Gauroy, Christine & Tréguer, David, 2010. "A quantitative assessment of the determinants of the net energy value of biofuels," Energy Policy, Elsevier, vol. 38(5), pages 2282-2290, May.
    18. Brenner, Mark & Riddle, Matthew & Boyce, James K., 2007. "A Chinese sky trust?: Distributional impacts of carbon charges and revenue recycling in China," Energy Policy, Elsevier, vol. 35(3), pages 1771-1784, March.
    19. Kerkhof, Annemarie C. & Moll, Henri C. & Drissen, Eric & Wilting, Harry C., 2008. "Taxation of multiple greenhouse gases and the effects on income distribution: A case study of the Netherlands," Ecological Economics, Elsevier, vol. 67(2), pages 318-326, September.
    20. Suits, Daniel B, 1977. "Measurement of Tax Progressivity," American Economic Review, American Economic Association, vol. 67(4), pages 747-752, September.
    21. Wier, Mette & Birr-Pedersen, Katja & Jacobsen, Henrik Klinge & Klok, Jacob, 2005. "Are CO2 taxes regressive? Evidence from the Danish experience," Ecological Economics, Elsevier, vol. 52(2), pages 239-251, January.
    22. Carlson, George N. & Patrick, Melanie K., 1989. "Addressing the Regressivity of the Value-Added Tax," National Tax Journal, National Tax Association;National Tax Journal, vol. 42(3), pages 339-351, September.
    23. Gonzalez, Fidel, 2012. "Distributional effects of carbon taxes: The case of Mexico," Energy Economics, Elsevier, vol. 34(6), pages 2102-2115.
    24. Gospodinov, Nikolay & Irvine, Ian, 2009. "Tobacco taxes and regressivity," Journal of Health Economics, Elsevier, vol. 28(2), pages 375-384, March.
    25. Tiezzi, Silvia, 2005. "The welfare effects and the distributive impact of carbon taxation on Italian households," Energy Policy, Elsevier, vol. 33(12), pages 1597-1612, August.
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    Cited by:

    1. Sun, Xiaohua & Ren, Junlin & Wang, Yun, 2022. "The impact of resource taxation on resource curse: Evidence from Chinese resource tax policy," Resources Policy, Elsevier, vol. 78(C).

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    More about this item

    Keywords

    Coal tax; Distributional effect; Price-based tax; Quantity-based tax;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products

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