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Platform for China Energy & Environmental Policy Analysis: A general design and its application

Author

Listed:
  • Qiao-Mei Liang
  • Yun-Fei Yao
  • Lu-Tao Zhao
  • Ce Wang
  • Rui-Guang Yang
  • Yi-Ming Wei

    (Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology)

Abstract

This paper introduces the China Energy & Environmental Policy Analysis (CEEPA) system. The core of CEEPA is a recursive dynamic computable general equilibrium model, in which the interactions among different agents in the macroeconomic system of China are described. The specific characteristics of Chinese labor market and energy market are also taken into account. The corresponding software system is also developed. CEEPA and its related software was designed for providing decision makers a uniform platform to simulate, analyze and compare different energy and environmental policies conveniently, flexibly and immediately. The application of CEEPA is illustrated in a case study which compares the energy, environmental and socio-economic impacts of energy tax and carbon tax. Results show that given the same extent of direct disturbance, carbon tax is able to restrict energy consumption and CO2 emissions to a greater extent, but the general socio-economic cost caused by energy tax is lower.

Suggested Citation

  • Qiao-Mei Liang & Yun-Fei Yao & Lu-Tao Zhao & Ce Wang & Rui-Guang Yang & Yi-Ming Wei, 2013. "Platform for China Energy & Environmental Policy Analysis: A general design and its application," CEEP-BIT Working Papers 43, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
  • Handle: RePEc:biw:wpaper:43
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    File URL: http://ceep.bit.edu.cn/docs/2018-10/20181011135905592961.pdf
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    References listed on IDEAS

    as
    1. Yiming Wei & Lancui Liu & Gang Wu & Lele Zou (ed.), 2010. "Energy Economics: CO2 Emissions in China," CEEP-BIT Books, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology, number b1, May.
    2. Ying Fan & Jian-Ling Jiao & Qiao-Mei Liang & Zhi-Yong Han & Yi-Ming Wei, 2007. "The impact of rising international crude oil price on China's economy: an empirical analysis with CGE model," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 27(4), pages 404-424.
    3. Liang, Qiao-Mei & Fan, Ying & Wei, Yi-Ming, 2007. "Carbon taxation policy in China: How to protect energy- and trade-intensive sectors?," Journal of Policy Modeling, Elsevier, vol. 29(2), pages 311-333.
    4. Liang, Qiao-Mei & Wei, Yi-Ming, 2012. "Distributional impacts of taxing carbon in China: Results from the CEEPA model," Applied Energy, Elsevier, vol. 92(C), pages 545-551.
    5. Allan, Grant & Hanley, Nick & McGregor, Peter & Swales, Kim & Turner, Karen, 2007. "The impact of increased efficiency in the industrial use of energy: A computable general equilibrium analysis for the United Kingdom," Energy Economics, Elsevier, vol. 29(4), pages 779-798, July.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Lin Yang & Yunfei Yao & Jiutian Zhang & Xian Zhang & Karl J. McAlinden, 2016. "A CGE analysis of carbon market impact on CO2 emission reduction in China: a technology-led 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. 81(2), pages 1107-1128, March.
    2. Qian Wang & Qiao-Mei Liang, 2015. "Will a carbon tax hinder China’s efforts to improve its primary income distribution status?," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 20(8), pages 1407-1436, December.
    3. Yun Fei Yao & Qiao-Mei Liang & Dong-Wei Yang & Hua Liao & Yi-Ming Wei, 2016. "How China’s current energy pricing mechanisms will impact its marginal carbon abatement costs?," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 21(6), pages 799-821, August.
    4. Yun-Fei Yao & Qiao-Mei Liang, 2016. "Approaches to carbon allowance allocation in China: a computable general equilibrium analysis," 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. 84(1), pages 333-351, November.
    5. Yinger Zheng & Haixia Zheng & Xinyue Ye, 2016. "Using Machine Learning in Environmental Tax Reform Assessment for Sustainable Development: A Case Study of Hubei Province, China," Sustainability, MDPI, Open Access Journal, vol. 8(11), pages 1-20, November.
    6. Lin Yang & Yunfei Yao & Jiutian Zhang & Xian Zhang & Karl McAlinden, 2016. "A CGE analysis of carbon market impact on CO 2 emission reduction in China: a technology-led 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. 81(2), pages 1107-1128, March.
    7. Cai, Yiyong & Newth, David & Finnigan, John & Gunasekera, Don, 2015. "A hybrid energy-economy model for global integrated assessment of climate change, carbon mitigation and energy transformation," Applied Energy, Elsevier, vol. 148(C), pages 381-395.

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    More about this item

    Keywords

    Computable general equilibrium; Energy and environmental policy; Decision support system;
    All these keywords.

    JEL classification:

    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models

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