IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/52775.html
   My bibliography  Save this paper

Potential impact of (CET) carbon emissions trading on China’s power sector: A perspective from different allowance allocation options

Author

Listed:
  • Cong, Rong-Gang
  • Wei, Yi-Ming

Abstract

In Copenhagen climate conference China government promised that China would cut down carbon intensity 40e45% from 2005 by 2020. CET (carbon emissions trading) is an effective tool to reduce emissions. But because CET is not fully implemented in China up to now, how to design it and its potential impact are unknown to us. This paper studies the potential impact of introduction of CET on China’s power sector and discusses the impact of different allocation options of allowances. Agent-based modeling is one appealing new methodology that has the potential to overcome some shortcomings of traditional methods. We establish an agent-based model, CETICEM (CET Introduced China Electricity Market), of introduction of CET to China. In CETICEM, six types of agents and two markets are modeled. We find that: (1) CET internalizes environment cost; increases the average electricity price by 12%; and transfers carbon price volatility to the electricity market, increasing electricity price volatility by 4%. (2) CET influences the relative cost of different power generation technologies through the carbon price, significantly increasing the proportion of environmentally friendly technologies; expensive solar power generation in particular develops significantly, with final proportion increasing by 14%. (3) Emissionbased allocation brings about both higher electricity and carbon prices than by output-based allocation which encourages producers to be environmentally friendly. Therefore, output-based allocation would be more conducive to reducing emissions in the Chinese power sector.

Suggested Citation

  • Cong, Rong-Gang & Wei, Yi-Ming, 2010. "Potential impact of (CET) carbon emissions trading on China’s power sector: A perspective from different allowance allocation options," MPRA Paper 52775, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:52775
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/52775/1/MPRA_paper_52775.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Cramton, Peter & Kerr, Suzi, 2002. "Tradeable carbon permit auctions: How and why to auction not grandfather," Energy Policy, Elsevier, vol. 30(4), pages 333-345, March.
    2. Tom Tietenberg, 2003. "The Tradable-Permits Approach to Protecting the Commons: Lessons for Climate Change," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 19(3), pages 400-419.
    3. Derek Bunn & Fernando Oliveira, 2003. "Evaluating Individual Market Power in Electricity Markets via Agent-Based Simulation," Annals of Operations Research, Springer, vol. 121(1), pages 57-77, July.
    4. Kim Keats Martinez & Karsten Neuhoff, 2005. "Allocation of carbon emission certificates in the power sector: how generators profit from grandfathered rights," Climate Policy, Taylor & Francis Journals, vol. 5(1), pages 61-78, January.
    5. Raufer, Roger & Li, Shaoyi, 2009. "Emissions trading in China: A conceptual ‘leapfrog’ approach?," Energy, Elsevier, vol. 34(7), pages 904-912.
    6. Szabo, Laszlo & Hidalgo, Ignacio & Ciscar, Juan Carlos & Soria, Antonio, 2006. "CO2 emission trading within the European Union and Annex B countries: the cement industry case," Energy Policy, Elsevier, vol. 34(1), pages 72-87, January.
    7. Cong, Rong-Gang & Wei, Yi-Ming, 2010. "Auction design for the allocation of carbon emission allowances: uniform or discriminatory price?," MPRA Paper 112210, University Library of Munich, Germany.
    8. Ma, Tieju & Nakamori, Yoshiteru, 2009. "Modeling technological change in energy systems – From optimization to agent-based modeling," Energy, Elsevier, vol. 34(7), pages 873-879.
    9. Burtraw, Dallas & Palmer, Karen L. & Bharvirkar, Ranjit & Paul, Anthony, 2001. "The Effect of Allowance Allocation on the Cost of Carbon Emission Trading," Discussion Papers 10536, Resources for the Future.
    10. Bunn, Derek W. & Oliveira, Fernando S., 2007. "Agent-based analysis of technological diversification and specialization in electricity markets," European Journal of Operational Research, Elsevier, vol. 181(3), pages 1265-1278, September.
    11. Bohringer, Christoph & Lange, Andreas, 2005. "On the design of optimal grandfathering schemes for emission allowances," European Economic Review, Elsevier, vol. 49(8), pages 2041-2055, November.
    12. Ehlen, Mark A. & Scholand, Andrew J. & Stamber, Kevin L., 2007. "The effects of residential real-time pricing contracts on transco loads, pricing, and profitability: Simulations using the N-ABLE(TM) agent-based model," Energy Economics, Elsevier, vol. 29(2), pages 211-227, March.
    13. Hämäläinen, Raimo P & Mäntysaari, Juha & Ruusunen, Jukka & Pierre-Olivier Pineau,, 2000. "Cooperative consumers in a deregulated electricity market — dynamic consumption strategies and price coordination," Energy, Elsevier, vol. 25(9), pages 857-875.
    Full references (including those not matched with items on IDEAS)

    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. Tang, Ling & Wu, Jiaqian & Yu, Lean & Bao, Qin, 2017. "Carbon allowance auction design of China's emissions trading scheme: A multi-agent-based approach," Energy Policy, Elsevier, vol. 102(C), pages 30-40.
    2. Yuanguang Yu, 2012. "An Optimal Ad Valorem Tax/Subsidy with an Output-Based Refunded Emission Payment for Permits Auction in an Oligopoly Market," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 52(2), pages 235-248, June.
    3. Kruger, Joseph & Pizer, William A., 2004. "The EU Emissions Trading Directive: Opportunities and Potential Pitfalls," Discussion Papers 10679, Resources for the Future.
    4. Huang, Hai & Roland-Holst, David & Springer, Cecilia & Lin, Jiang & Cai, Wenjia & Wang, Can, 2019. "Emissions trading systems and social equity: A CGE assessment for China," Applied Energy, Elsevier, vol. 235(C), pages 1254-1265.
    5. Zakeri, Atefe & Dehghanian, Farzad & Fahimnia, Behnam & Sarkis, Joseph, 2015. "Carbon pricing versus emissions trading: A supply chain planning perspective," International Journal of Production Economics, Elsevier, vol. 164(C), pages 197-205.
    6. Zhang, Yue-Jun & Wang, Ao-Dong & Tan, Weiping, 2015. "The impact of China's carbon allowance allocation rules on the product prices and emission reduction behaviors of ETS-covered enterprises," Energy Policy, Elsevier, vol. 86(C), pages 176-185.
    7. Sonia Schwartz, 2009. "Comment distribuer les quotas de pollution ?. Une revue de la littérature," Revue d'économie politique, Dalloz, vol. 119(4), pages 535-568.
    8. Luca Taschini, 2010. "Environmental Economics and Modeling Marketable Permits," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 17(4), pages 325-343, December.
    9. Christoph Weber & Philip Vogel, 2014. "Contingent certificate allocation rules and incentives for power plant investment and disinvestment," Journal of Regulatory Economics, Springer, vol. 46(3), pages 292-317, December.
    10. Weidlich, Anke & Veit, Daniel, 2008. "A critical survey of agent-based wholesale electricity market models," Energy Economics, Elsevier, vol. 30(4), pages 1728-1759, July.
    11. Baochen Yang & Chuanze Liu & Zehao Gou & Jiacheng Man & Yunpeng Su, 2018. "How Will Policies of China’s CO 2 ETS Affect its Carbon Price: Evidence from Chinese Pilot Regions," Sustainability, MDPI, vol. 10(3), pages 1-26, February.
    12. Haghnevis, Moeed & Askin, Ronald G. & Armbruster, Dieter, 2016. "An agent-based modeling optimization approach for understanding behavior of engineered complex adaptive systems," Socio-Economic Planning Sciences, Elsevier, vol. 56(C), pages 67-87.
    13. Kruger, Joseph, 2005. "From SO2 to Greenhouse Gases: Trends and Events Shaping Future Emissions Trading Programs in the United States," Discussion Papers 10819, Resources for the Future.
    14. Kruger, Joseph, 2005. "From SO2 to Greenhouse Gases: Trends and Events Shaping Future Emissions Trading Programs in the United States," RFF Working Paper Series dp-05-20, Resources for the Future.
    15. Zhang, Hui & Cao, Libin & Zhang, Bing, 2017. "Emissions trading and technology adoption: An adaptive agent-based analysis of thermal power plants in China," Resources, Conservation & Recycling, Elsevier, vol. 121(C), pages 23-32.
    16. Liu, Beibei & He, Pan & Zhang, Bing & Bi, Jun, 2012. "Impacts of alternative allowance allocation methods under a cap-and-trade program in power sector," Energy Policy, Elsevier, vol. 47(C), pages 405-415.
    17. Dogterom, Nico & Ettema, Dick & Dijst, Martin, 2018. "Behavioural effects of a tradable driving credit scheme: Results of an online stated adaptation experiment in the Netherlands," Transportation Research Part A: Policy and Practice, Elsevier, vol. 107(C), pages 52-64.
    18. Bode, Sven, 2006. "Multi-period emissions trading in the electricity sector--winners and losers," Energy Policy, Elsevier, vol. 34(6), pages 680-691, April.
    19. Venmans, Frank, 2012. "A literature-based multi-criteria evaluation of the EU ETS," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(8), pages 5493-5510.
    20. Barbara Buchner & Carlo Carraro & A. Denny Ellerman, 2006. "The Allocation of European Union Allowances: Lessons, Unifying Themes and General Principles," Working Papers 0615, Massachusetts Institute of Technology, Center for Energy and Environmental Policy Research.

    More about this item

    Keywords

    Carbon emissions trading Emission-based allocation Output-based allocation Agent-based model;

    JEL classification:

    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy

    Statistics

    Access and download statistics

    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:pra:mprapa:52775. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.