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Carbon Emission Reduction Strategy for Energy Users in China

Author

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  • Fuquan Zhao

    (State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China
    Tsinghua Automotive Strategy Research Institute, Tsinghua University, Beijing 100084, China)

  • Feiqi Liu

    (State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China
    Tsinghua Automotive Strategy Research Institute, Tsinghua University, Beijing 100084, China)

  • Han Hao

    (State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China
    Tsinghua Automotive Strategy Research Institute, Tsinghua University, Beijing 100084, China
    China Automotive Energy Research Center, Tsinghua University, Beijing 100084, China)

  • Zongwei Liu

    (State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China
    Tsinghua Automotive Strategy Research Institute, Tsinghua University, Beijing 100084, China
    Sloan Automotive Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA)

Abstract

The Chinese government has made a commitment to control carbon emissions, and the deployment of renewable energy power generation is considered as an effective solution. In recent years, great effort has been exerted to support the development of renewable energy in China. While, due to fiscal pressures and changes in management policies, related subsidies are diminishing now and energy users are asked to pay for the cost. Regulations about carbon cap and renewable energy consumptions are issued to transfer the responsibility of consuming renewable energy and reducing carbon emissions to energy consumers. A national carbon trading system is set up in China and is under its growth stage. Therefore, this study lists the factors that should be considered by the energy users, analyzes the levelized cost of electricity generated by renewable energy in four cities in China, Beijing, Shanghai, Guangzhou, Wuhan, and compares the results with current carbon prices. Based on the research, under the current status, it is still more cost-efficient for enterprises to buy carbon credits than introduce renewable energies, and great differences among cities are shown due to different natural conditions. Besides, with diminishing subsidies and development of the carbon trading market, the carbon price will gradually reflect the actual value and carbon emission reduction costs will become an important part of enterprise expenditure. In the long term, enterprises should link more factors to carbon emissions, like social responsibility and brand image, instead of only the cost.

Suggested Citation

  • Fuquan Zhao & Feiqi Liu & Han Hao & Zongwei Liu, 2020. "Carbon Emission Reduction Strategy for Energy Users in China," Sustainability, MDPI, vol. 12(16), pages 1-19, August.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:16:p:6498-:d:397832
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    References listed on IDEAS

    as
    1. Oestreich, A. Marcel & Tsiakas, Ilias, 2015. "Carbon emissions and stock returns: Evidence from the EU Emissions Trading Scheme," Journal of Banking & Finance, Elsevier, vol. 58(C), pages 294-308.
    2. Zhang, Sufang, 2016. "Analysis of DSPV (distributed solar PV) power policy in China," Energy, Elsevier, vol. 98(C), pages 92-100.
    3. He, Yongxiu & Pang, Yuexia & Li, Xinmin & Zhang, Minhui, 2018. "Dynamic subsidy model of photovoltaic distributed generation in China," Renewable Energy, Elsevier, vol. 118(C), pages 555-564.
    4. Yuan, Jiahai & Sun, Shenghui & Zhang, Wenhua & Xiong, Minpeng, 2014. "The economy of distributed PV in China," Energy, Elsevier, vol. 78(C), pages 939-949.
    5. Zhang, Fang & Deng, Hao & Margolis, Robert & Su, Jun, 2015. "Analysis of distributed-generation photovoltaic deployment, installation time and cost, market barriers, and policies in China," Energy Policy, Elsevier, vol. 81(C), pages 43-55.
    6. Feng, Kuishuang & Hubacek, Klaus & Siu, Yim Ling & Li, Xin, 2014. "The energy and water nexus in Chinese electricity production: A hybrid life cycle analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 342-355.
    7. Li, Xin & Feng, Kuishuang & Siu, Yim Ling & Hubacek, Klaus, 2012. "Energy-water nexus of wind power in China: The balancing act between CO2 emissions and water consumption," Energy Policy, Elsevier, vol. 45(C), pages 440-448.
    8. Lai, Chun Sing & McCulloch, Malcolm D., 2017. "Levelized cost of electricity for solar photovoltaic and electrical energy storage," Applied Energy, Elsevier, vol. 190(C), pages 191-203.
    9. Zhao, Xin-gang & Wu, Lei & Li, Ang, 2017. "Research on the efficiency of carbon trading market in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 1-8.
    10. Alex Y. Lo, 2012. "Carbon emissions trading in China," Nature Climate Change, Nature, vol. 2(11), pages 765-766, November.
    11. Zhao, Xin-gang & Jiang, Gui-wu & Nie, Dan & Chen, Hao, 2016. "How to improve the market efficiency of carbon trading: A perspective of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1229-1245.
    12. Zhao, Zhen-Yu & Chen, Yu-Long & Thomson, John Douglas, 2017. "Levelized cost of energy modeling for concentrated solar power projects: A China study," Energy, Elsevier, vol. 120(C), pages 117-127.
    13. Wang, Yu & Zhou, Sheng & Huo, Hong, 2014. "Cost and CO2 reductions of solar photovoltaic power generation in China: Perspectives for 2020," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 370-380.
    14. Zhang, M.M. & Zhou, D.Q. & Zhou, P. & Chen, H.T., 2017. "Optimal design of subsidy to stimulate renewable energy investments: The case of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 873-883.
    15. Zhou, Guanghui & Ou, Xunmin & Zhang, Xiliang, 2013. "Development of electric vehicles use in China: A study from the perspective of life-cycle energy consumption and greenhouse gas emissions," Energy Policy, Elsevier, vol. 59(C), pages 875-884.
    16. Sufang Zhang, . "Analysis of Distributed Solar Photovoltaic (DSPV) Power Policy in China," Chapters, in: Shigeru Kimura & Youngho Chang & Yanfei Li (ed.), Financing Renewable Energy Development in East Asia Summit Countries A Primer of Effective Policy Instruments, chapter 5, pages 137-159, Economic Research Institute for ASEAN and East Asia (ERIA).
    17. Ouyang, Xiaoling & Lin, Boqiang, 2014. "Levelized cost of electricity (LCOE) of renewable energies and required subsidies in China," Energy Policy, Elsevier, vol. 70(C), pages 64-73.
    18. Zou, Hongyang & Du, Huibin & Ren, Jingzheng & Sovacool, Benjamin K. & Zhang, Yongjie & Mao, Guozhu, 2017. "Market dynamics, innovation, and transition in China's solar photovoltaic (PV) industry: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 197-206.
    19. Ou, Xunmin & Xiaoyu, Yan & Zhang, Xiliang, 2011. "Life-cycle energy consumption and greenhouse gas emissions for electricity generation and supply in China," Applied Energy, Elsevier, vol. 88(1), pages 289-297, January.
    20. Cai, Wenjia & Wang, Can & Wang, Ke & Zhang, Ying & Chen, Jining, 2007. "Scenario analysis on CO2 emissions reduction potential in China's electricity sector," Energy Policy, Elsevier, vol. 35(12), pages 6445-6456, December.
    21. Zhang, Da & Karplus, Valerie J. & Cassisa, Cyril & Zhang, Xiliang, 2014. "Emissions trading in China: Progress and prospects," Energy Policy, Elsevier, vol. 75(C), pages 9-16.
    22. Rigter, Jasper & Vidican, Georgeta, 2010. "Cost and optimal feed-in tariff for small scale photovoltaic systems in China," Energy Policy, Elsevier, vol. 38(11), pages 6989-7000, November.
    23. Shen, Jianfei & Luo, Chen, 2015. "Overall review of renewable energy subsidy policies in China – Contradictions of intentions and effects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1478-1488.
    24. Lin, Boqiang & Li, Jianglong, 2015. "Analyzing cost of grid-connection of renewable energy development in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 1373-1382.
    25. Branker, K. & Pathak, M.J.M. & Pearce, J.M., 2011. "A review of solar photovoltaic levelized cost of electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4470-4482.
    26. Rodrigues, Sandy & Chen, Xiaoju & Morgado-Dias, F., 2017. "Economic analysis of photovoltaic systems for the residential market under China's new regulation," Energy Policy, Elsevier, vol. 101(C), pages 467-472.
    27. Wang, Yuxuan & Sun, Tianye, 2012. "Life cycle assessment of CO2 emissions from wind power plants: Methodology and case studies," Renewable Energy, Elsevier, vol. 43(C), pages 30-36.
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    5. Chaonan Li & Tianyi Guo & Yan Chen, 2022. "Robust Emission Reduction Strategies under Cap-and-Trade and Demand Uncertainty," Sustainability, MDPI, vol. 14(20), pages 1-27, October.

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