IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v58y2018icp268-276.html
   My bibliography  Save this article

The impacts on CO2 emission reduction and haze by coal resource tax reform based on dynamic CGE model

Author

Listed:
  • Xu, Xiaoliang
  • Xu, Xuefen
  • Chen, Qian
  • Che, Ying

Abstract

The paper builds a dynamic computable general equilibrium model (Dynamic CGE Model) to evaluate the impact on carbon emissions reduction and haze with different scenarios of coal resource tax rate adjustment. The results shows that: Overall speaking, coal resource tax reform can be conducive to promote CO2 emission reduction and environmental benefits from a longer time rang, but the impacts are different with the three kinds of policy design which are 2%,5% and 10% respectively. Increased coal resources tax inhibits resources consumption, improves resource utilization efficiency, and reduces haze emission; meanwhile, the implementation of resource value compensation policy plays a more positive role in improving the environment quality. Compared with the impact by 2% and 10% tax rate, 5% Ad valorem tax should be a reasonable and effective choice for decreasing CO2 emission and PM2.5&PM10, and improving environment welfare. Therefore, some suggestions are given as following: 1) it is necessary to choose coal resource tax rate properly and scientifically. 2) Integrating the policy of resource compensation into the category of resource tax, and further clarify the form of resource compensation standards. 3) Paying more attention to the coordination of resources policy; 4) important mineral resources, forest resources should be incorporated into the resource tax policy.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:jrpoli:v:58:y:2018:i:c:p:268-276
    DOI: 10.1016/j.resourpol.2018.05.015
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301420718301624
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.resourpol.2018.05.015?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. Ang, B. W., 1999. "Is the energy intensity a less useful indicator than the carbon factor in the study of climate change?," Energy Policy, Elsevier, vol. 27(15), pages 943-946, December.
    3. Bovenberg, A. Lans & van der Ploeg, Frederick, 1996. "Optimal taxation, public goods and environmental policy with involuntary unemployment," Journal of Public Economics, Elsevier, vol. 62(1-2), pages 59-83, October.
    4. 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.
    5. Zhou, P. & Ang, B.W. & Han, J.Y., 2010. "Total factor carbon emission performance: A Malmquist index analysis," Energy Economics, Elsevier, vol. 32(1), pages 194-201, January.
    6. Kawase, Reina & Matsuoka, Yuzuru & Fujino, Junichi, 2006. "Decomposition analysis of CO2 emission in long-term climate stabilization scenarios," Energy Policy, Elsevier, vol. 34(15), pages 2113-2122, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hu, Haisheng & Dong, Wanhao & Zhou, Qian, 2021. "A comparative study on the environmental and economic effects of a resource tax and carbon tax in China: Analysis based on the computable general equilibrium model," Energy Policy, Elsevier, vol. 156(C).
    2. Wen, Shiyan & Jia, Zhijie, 2022. "The energy, environment and economy impact of coal resource tax, renewable investment, and total factor productivity growth," Resources Policy, Elsevier, vol. 77(C).
    3. Jia, Zhijie & Lin, Boqiang, 2021. "How to achieve the first step of the carbon-neutrality 2060 target in China: The coal substitution perspective," Energy, Elsevier, vol. 233(C).
    4. Chan, Ying Tung & Zhao, Hong, 2023. "Optimal carbon tax rates in a dynamic stochastic general equilibrium model with a supply chain," Economic Modelling, Elsevier, vol. 119(C).
    5. Mardones, Cristian & Mena, Camilo, 2020. "Effects of the internalization of the social cost of global and local air pollutants in Chile," Energy Policy, Elsevier, vol. 147(C).
    6. Ziesmer, Johannes & Jin, Ding & Mukashov, Askar & Henning, Christian, 2023. "Integrating fundamental model uncertainty in policy analysis," Socio-Economic Planning Sciences, Elsevier, vol. 87(PB).
    7. 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).
    8. Huachao Yang & Ting Gan & Wei Liang & Xianchun Liao, 2022. "Can policies aimed at reducing carbon dioxide emissions help mitigate haze pollution? An empirical analysis of the emissions trading system," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 1959-1980, February.
    9. Ji, Yuhang & Lei, Yalin & Li, Li & Zhang, An & Wu, Sanmang & Li, Qun, 2021. "Evaluation of the implementation effects and the influencing factors of resource tax in China," Resources Policy, Elsevier, vol. 72(C).
    10. Li, Yanmei & Cui, Yifei & Cai, Bofeng & Guo, Jingpeng & Cheng, Tianhai & Zheng, Fengjie, 2020. "Spatial characteristics of CO2 emissions and PM2.5 concentrations in China based on gridded data," Applied Energy, Elsevier, vol. 266(C).
    11. Wang, Jie & Liao, Xianchun & Yu, Yue, 2022. "The examination of resource tax reform facilitating firms’ green innovation in resource-related industry in China," Resources Policy, Elsevier, vol. 79(C).
    12. 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).
    13. Feng Dong & Guoqing Li & Yajie Liu & Qing Xu & Caixia Li, 2023. "Spatial-Temporal Evolution and Cross-Industry Synergy of Carbon Emissions: Evidence from Key Industries in the City in Jiangsu Province, China," Sustainability, MDPI, vol. 15(5), pages 1-27, February.
    14. Claudiu Tiberiu Albulescu & Maria-Elena Boatca-Barabas & Andra Diaconescu, 2021. "The asymmetric effect of environmental policy stringency on CO2 emissions in OECD countries," Working Papers hal-03303096, HAL.
    15. Boqiang Lin & Zhijie Jia, 2020. "Supply control vs. demand control: why is resource tax more effective than carbon tax in reducing emissions?," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-13, December.
    16. Song, Yi & Zhang, Yangxueying & Zhang, Yijun, 2022. "Economic and environmental influences of resource tax: Firm-level evidence from China," Resources Policy, Elsevier, vol. 77(C).
    17. Sarfraz, Muddassar & Iqbal, Kashif & Wang, Yichu & Bhutta, Muhammad Shoaib & Jaffri, Zain ul Abidin, 2023. "Role of agricultural resource sector in environmental emissions and its explicit relationship with sustainable development: Evidence from agri-food system in China," Resources Policy, Elsevier, vol. 80(C).
    18. Jiang, Hong-Dian & Hao, Wen-Ting & Xu, Qing-Yang & Liang, Qiao-Mei, 2020. "Socio-economic and environmental impacts of the iron ore resource tax reform in China: A CGE-based analysis," Resources Policy, Elsevier, vol. 68(C).
    19. Keyao Chen & Guizhi Wang & Lingyan Wu & Jibo Chen & Shuai Yuan & Qi Liu & Xiaodong Liu, 2019. "PM 2.5 Pollution: Health and Economic Effect Assessment Based on a Recursive Dynamic Computable General Equilibrium Model," IJERPH, MDPI, vol. 16(24), pages 1-17, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Q.W. & Zhou, P. & Shen, N. & Wang, S.S., 2013. "Measuring carbon dioxide emission performance in Chinese provinces: A parametric approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 324-330.
    2. Guo, Xiao-Dan & Zhu, Lei & Fan, Ying & Xie, Bai-Chen, 2011. "Evaluation of potential reductions in carbon emissions in Chinese provinces based on environmental DEA," Energy Policy, Elsevier, vol. 39(5), pages 2352-2360, May.
    3. Zhou, Di & Huang, Qing & Chong, Zhaohui, 2022. "Analysis on the effect and mechanism of land misallocation on carbon emissions efficiency: Evidence from China," Land Use Policy, Elsevier, vol. 121(C).
    4. Lin, Boqiang & Jia, Zhijie, 2019. "How does tax system on energy industries affect energy demand, CO2 emissions, and economy in China?," Energy Economics, Elsevier, vol. 84(C).
    5. Lin, Boqiang & Sai, Rockson, 2021. "A multi factor Malmquist CO2emission performance indices: Evidence from Sub Saharan African public thermal power plants," Energy, Elsevier, vol. 223(C).
    6. Zhang, Ning & Wei, Xiao, 2015. "Dynamic total factor carbon emissions performance changes in the Chinese transportation industry," Applied Energy, Elsevier, vol. 146(C), pages 409-420.
    7. Song, Yi & Zhang, Yangxueying & Zhang, Yijun, 2022. "Economic and environmental influences of resource tax: Firm-level evidence from China," Resources Policy, Elsevier, vol. 77(C).
    8. Yao, Xin & Guo, Chengwen & Shao, Shuai & Jiang, Zhujun, 2016. "Total-factor CO2 emission performance of China’s provincial industrial sector: A meta-frontier non-radial Malmquist index approach," Applied Energy, Elsevier, vol. 184(C), pages 1142-1153.
    9. Qizhen Wang & Qian Zhang, 2022. "Foreign Direct Investment and Carbon Emission Efficiency: The Role of Direct and Indirect Channels," Sustainability, MDPI, vol. 14(20), pages 1-23, October.
    10. Jin Zhu & Huaping Sun & Dequn Zhou & Lin Peng & Chuanwang Sun, 2020. "Carbon emission efficiency of thermal power in different regions of China and spatial correlations," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(7), pages 1221-1242, October.
    11. Zhong, Meirui & Liu, Qing & Zeng, Anqi & Huang, Jianbai, 2018. "An effects analysis of China's metal mineral resource tax reform: A heterogeneous dynamic multi-regional CGE appraisal," Resources Policy, Elsevier, vol. 58(C), pages 303-313.
    12. Dong, Feng & Li, Xiaohui & Long, Ruyin & Liu, Xiaoyan, 2013. "Regional carbon emission performance in China according to a stochastic frontier model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 525-530.
    13. Yue-Jun Zhang & Ya-Bin Da, 2013. "Decomposing the changes of energy-related carbon emissions in China: evidence from the PDA approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 69(1), pages 1109-1122, October.
    14. Feng Dong & Ruyin Long & Zhengfu Bian & Xihui Xu & Bolin Yu & Ying Wang, 2017. "Applying a Ruggiero three-stage super-efficiency DEA model to gauge regional carbon emission efficiency: evidence from China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 87(3), pages 1453-1468, July.
    15. Zhang, Ning & Choi, Yongrok, 2013. "Total-factor carbon emission performance of fossil fuel power plants in China: A metafrontier non-radial Malmquist index analysis," Energy Economics, Elsevier, vol. 40(C), pages 549-559.
    16. Ge, Jianping & Lei, Yalin, 2018. "Resource tax on rare earths in China: Policy evolution and market responses," Resources Policy, Elsevier, vol. 59(C), pages 291-297.
    17. 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).
    18. Feng Dong & Ruyin Long & Hong Chen & Xiaohui Li & Qingliang Yang, 2013. "Factors Affecting Regional Per-Capita Carbon Emissions in China Based on an LMDI Factor Decomposition Model," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-10, December.
    19. Peroni, Chiara, 2012. "Environmental efficiency indices: towards a new approach to green-growth accounting," MPRA Paper 38671, University Library of Munich, Germany, revised 27 Apr 2012.
    20. Lyu, Peng-hui & Ngai, Eric W.T. & Wu, Pei-yi, 2019. "Scientific data-driven evaluation on academic articles of low-carbon economy," Energy Policy, Elsevier, vol. 125(C), pages 358-367.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jrpoli:v:58:y:2018:i:c:p:268-276. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/30467 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.