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Impacts of the coal resource tax on the electric power industry in China: A multi-regional comprehensive analysis

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  • Li, Yuan
  • Zhou, You
  • Yi, Bo-Wen
  • Wang, Ya

Abstract

A coal resource tax is a common policy tool for promoting rational exploitation and utilization of resources. This study establishes a co-optimization model for both electricity and coal that not only depicts the power dispatched at the micro temporal scale but also considers the capacity expansion that occurs at the macro temporal scale and the spatial dispatch of coal. Based on this model, we investigate the impact of the coal resource tax on China’s electric power industry from four perspectives: economic efficiency, generation portfolio, inter-regional energy dispatch, and environmental benefits. The results show that the current tax rate has a relatively limited impact on the power system. Increasing the tax rate will inhibit the construction of supercritical and ultra-supercritical units and accelerate the diffusion of solar PV, small hydropower, and nuclear units. At the regional level, East China is most affected by the change in the resource tax, and other northern provinces are affected to varying degrees. The coal resource tax has little impact on inter-regional power grid investment, but it does affect the utilization efficiency of existing lines and reduces the volume of almost all coal transportation routes. Thus, it is necessary to consider the relationship between various policies and plans during decision-making.

Suggested Citation

  • Li, Yuan & Zhou, You & Yi, Bo-Wen & Wang, Ya, 2021. "Impacts of the coal resource tax on the electric power industry in China: A multi-regional comprehensive analysis," Resources Policy, Elsevier, vol. 70(C).
  • Handle: RePEc:eee:jrpoli:v:70:y:2021:i:c:s0301420720309612
    DOI: 10.1016/j.resourpol.2020.101930
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    1. Liu, Huihui & Chen, ZhanMing & Wang, Jianliang & Fan, Jihong, 2017. "The impact of resource tax reform on China's coal industry," Energy Economics, Elsevier, vol. 61(C), pages 52-61.
    2. Xu, Xiaoliang & Xu, Xuefen & Chen, Qian & Che, Ying, 2018. "The impacts on CO2 emission reduction and haze by coal resource tax reform based on dynamic CGE model," Resources Policy, Elsevier, vol. 58(C), pages 268-276.
    3. Zhang, Zengkai & Guo, Ju'e & Qian, Dong & Xue, Yong & Cai, Luping, 2013. "Effects and mechanism of influence of China's resource tax reform: A regional perspective," Energy Economics, Elsevier, vol. 36(C), pages 676-685.
    4. Yi, Bo-Wen & Xu, Jin-Hua & Fan, Ying, 2016. "Inter-regional power grid planning up to 2030 in China considering renewable energy development and regional pollutant control: A multi-region bottom-up optimization model," Applied Energy, Elsevier, vol. 184(C), pages 641-658.
    5. Hung, N.M. & Quyen, N.V., 2009. "Specific or ad valorem tax for an exhaustible resource?," Economics Letters, Elsevier, vol. 102(2), pages 132-134, February.
    6. Abrell, Jan & Rausch, Sebastian, 2016. "Cross-country electricity trade, renewable energy and European transmission infrastructure policy," Journal of Environmental Economics and Management, Elsevier, vol. 79(C), pages 87-113.
    7. Wang, Can & Ye, Minhua & Cai, Wenjia & Chen, Jining, 2014. "The value of a clear, long-term climate policy agenda: A case study of China’s power sector using a multi-region optimization model," Applied Energy, Elsevier, vol. 125(C), pages 276-288.
    8. Harold Hotelling, 1931. "The Economics of Exhaustible Resources," Journal of Political Economy, University of Chicago Press, vol. 39, pages 137-137.
    9. Gupta, Sanjeev & Mahler, Walter, 1995. "Taxation of petroleum products : Theory and empirical evidence," Energy Economics, Elsevier, vol. 17(2), pages 101-116, April.
    10. Nguyen Manh Hung & Nguyen Van Quyen, 2009. "Sales Tax: Specific or Ad Valorem Tax for a Non-renewable Resource?," Working Papers 03, Development and Policies Research Center (DEPOCEN), Vietnam.
    11. Yi, Bo-Wen & Xu, Jin-Hua & Fan, Ying, 2019. "Coordination of policy goals between renewable portfolio standards and carbon caps: A quantitative assessment in China," Applied Energy, Elsevier, vol. 237(C), pages 25-35.
    12. Yuan, Jiahai & Guo, Xiaoxuan & Zhang, Weirong & Chen, Sisi & Ai, Yu & Zhao, Changhong, 2019. "Deregulation of power generation planning and elimination of coal power subsidy in China," Utilities Policy, Elsevier, vol. 57(C), pages 1-15.
    13. Wissema, Wiepke & Dellink, Rob, 2007. "AGE analysis of the impact of a carbon energy tax on the Irish economy," Ecological Economics, Elsevier, vol. 61(4), pages 671-683, March.
    14. Scholz, Yvonne & Gils, Hans Christian & Pietzcker, Robert C., 2017. "Application of a high-detail energy system model to derive power sector characteristics at high wind and solar shares," Energy Economics, Elsevier, vol. 64(C), pages 568-582.
    15. Merrick, James H., 2016. "On representation of temporal variability in electricity capacity planning models," Energy Economics, Elsevier, vol. 59(C), pages 261-274.
    16. Egerer, Jonas & Rosellón, Juan & Schill, Wolf-Peter, 2015. "Power System Transformation toward Renewables: An Evaluation of Regulatory Approaches for Network Expansion," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 36(4), pages 105-128.
    17. Moarefdoost, M. Mohsen & Lamadrid, Alberto J. & Zuluaga, Luis F., 2016. "A robust model for the ramp-constrained economic dispatch problem with uncertain renewable energy," Energy Economics, Elsevier, vol. 56(C), pages 310-325.
    18. Koltsaklis, Nikolaos E. & Georgiadis, Michael C., 2015. "A multi-period, multi-regional generation expansion planning model incorporating unit commitment constraints," Applied Energy, Elsevier, vol. 158(C), pages 310-331.
    19. Groth, Christian & Schou, Poul, 2007. "Growth and non-renewable resources: The different roles of capital and resource taxes," Journal of Environmental Economics and Management, Elsevier, vol. 53(1), pages 80-98, January.
    20. Fleiter, Tobias & Worrell, Ernst & Eichhammer, Wolfgang, 2011. "Barriers to energy efficiency in industrial bottom-up energy demand models--A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 3099-3111, August.
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    Cited by:

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