IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v136y2014icp1043-1052.html
   My bibliography  Save this article

How will the emissions trading scheme save cost for achieving China’s 2020 carbon intensity reduction target?

Author

Listed:
  • Cui, Lian-Biao
  • Fan, Ying
  • Zhu, Lei
  • Bi, Qing-Hua

Abstract

Chinese government has committed to reduce its carbon intensity by 40–45% over the period 2005–2020 at the 2009 Copenhagen Summit. To achieve the target in a cost-effective way, China is signaling strong intentions to establish emissions trading scheme, and presently seven pilots have been established. This paper focuses on the cost-saving effects of carbon emissions trading in China for the 2020 target. First, an interprovincial emissions trading model is constructed. Then, three kinds of policy scenarios, including no carbon emissions trading among provinces (NETS), the carbon emissions trading only covering the pilots (PETS), and the unified carbon emissions trading market (CETS), have been designed. The results show that China needs to reduce its emissions by 819 MtCO2 for achieving the 42.5% reduction in carbon intensity over the period 2005–2020. The PETS and the CETS, which may result in a carbon price of 99yuan/tCO2 and 53yuan/tCO2, could reduce the total abatement costs by 4.50% and 23.67%, respectively. This paper also finds that the carbon emissions trading could yield different impacts on different provinces, and the cost-saving effects of the eastern and western provinces are more pronounced than the central provinces. Necessary sensitivity analysis is also provided at the end of the research. These findings may be useful for promoting the development of carbon emissions trading in China.

Suggested Citation

  • Cui, Lian-Biao & Fan, Ying & Zhu, Lei & Bi, Qing-Hua, 2014. "How will the emissions trading scheme save cost for achieving China’s 2020 carbon intensity reduction target?," Applied Energy, Elsevier, vol. 136(C), pages 1043-1052.
  • Handle: RePEc:eee:appene:v:136:y:2014:i:c:p:1043-1052
    DOI: 10.1016/j.apenergy.2014.05.021
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261914005169
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2014.05.021?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. Dan Wei & Adam Rose, 2009. "Interregional Sharing of Energy Conservation Targets in China: Efficiency and Equity," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 81-112.
    2. Montgomery, W. David, 1972. "Markets in licenses and efficient pollution control programs," Journal of Economic Theory, Elsevier, vol. 5(3), pages 395-418, December.
    3. Rose, Adam & Peterson, Thomas D. & Zhang, ZhongXiang, 2006. "Regional carbon dioxide permit trading in the United States: coalition choices for Pennsylvania," MPRA Paper 13547, University Library of Munich, Germany.
    4. Choi, Yongrok & Zhang, Ning & Zhou, P., 2012. "Efficiency and abatement costs of energy-related CO2 emissions in China: A slacks-based efficiency measure," Applied Energy, Elsevier, vol. 98(C), pages 198-208.
    5. Yu, Shiwei & Wei, Yi-Ming & Wang, Ke, 2014. "Provincial allocation of carbon emission reduction targets in China: An approach based on improved fuzzy cluster and Shapley value decomposition," Energy Policy, Elsevier, vol. 66(C), pages 630-644.
    6. R. H. Coase, 2013. "The Problem of Social Cost," Journal of Law and Economics, University of Chicago Press, vol. 56(4), pages 837-877.
    7. Peter Bohm & Bjorn Larsen, 1994. "Fairness in a tradeable-permit treaty for carbon emissions reductions in Europe and the former Soviet Union," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 4(3), pages 219-239, June.
    8. Fabian Kesicki & Paul Ekins, 2012. "Marginal abatement cost curves: a call for caution," Climate Policy, Taylor & Francis Journals, vol. 12(2), pages 219-236, March.
    9. Carrie M. Lee & Chelsea Chandler & Michael Lazarus & Francis X. Johnson, 2013. "Assessing the Climate Impacts of Cookstove Projects: Issues in Emissions Accounting," Challenges in Sustainability, Librello publishing house, vol. 1(2), pages 53-71.
    10. Cotana, Franco & Rossi, Federico & Filipponi, Mirko & Coccia, Valentina & Pisello, Anna Laura & Bonamente, Emanuele & Petrozzi, Alessandro & Cavalaglio, Gianluca, 2014. "Albedo control as an effective strategy to tackle Global Warming: A case study," Applied Energy, Elsevier, vol. 130(C), pages 641-647.
    11. William D. Nordhaus, 1991. "The Cost of Slowing Climate Change: a Survey," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 37-66.
    12. Fleiter, Tobias & Fehrenbach, Daniel & Worrell, Ernst & Eichhammer, Wolfgang, 2012. "Energy efficiency in the German pulp and paper industry – A model-based assessment of saving potentials," Energy, Elsevier, vol. 40(1), pages 84-99.
    13. Baker, Erin & Clarke, Leon & Shittu, Ekundayo, 2008. "Technical change and the marginal cost of abatement," Energy Economics, Elsevier, vol. 30(6), pages 2799-2816, November.
    14. Yinhua Mai & Peter B. Dixon & Maureen Rimmer, 2010. "CHINAGEM: A Monash-Styled Dynamic CGE Model of China," Centre of Policy Studies/IMPACT Centre Working Papers g-201, Victoria University, Centre of Policy Studies/IMPACT Centre.
    15. Zhang, Da & Rausch, Sebastian & Karplus, Valerie J. & Zhang, Xiliang, 2013. "Quantifying regional economic impacts of CO2 intensity targets in China," Energy Economics, Elsevier, vol. 40(C), pages 687-701.
    16. Zhou, Sheng & Tong, Qing & Yu, Sha & Wang, Yu & Chai, Qimin & Zhang, Xiliang, 2012. "Role of non-fossil energy in meeting China's energy and climate target for 2020," Energy Policy, Elsevier, vol. 51(C), pages 14-19.
    17. Castelo Branco, David A. & Szklo, Alexandre & Gomes, Gabriel & Borba, Bruno S.M.C. & Schaeffer, Roberto, 2011. "Abatement costs of CO2 emissions in the Brazilian oil refining sector," Applied Energy, Elsevier, vol. 88(11), pages 3782-3790.
    18. Klepper, Gernot & Peterson, Sonja, 2006. "Marginal abatement cost curves in general equilibrium: The influence of world energy prices," Resource and Energy Economics, Elsevier, vol. 28(1), pages 1-23, January.
    19. Yuan, Jiahai & Hou, Yong & Xu, Ming, 2012. "China's 2020 carbon intensity target: Consistency, implementations, and policy implications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4970-4981.
    20. Maraseni, Tek Narayan, 2013. "Selecting a CDM investor in China: A critical analysis," Energy Policy, Elsevier, vol. 53(C), pages 484-489.
    21. Michael Grubb, 2003. "The Economics of the Kyoto Protocol," World Economics, World Economics, 1 Ivory Square, Plantation Wharf, London, United Kingdom, SW11 3UE, vol. 4(3), pages 143-189, July.
    22. Zhou, P. & Zhang, L. & Zhou, D.Q. & Xia, W.J., 2013. "Modeling economic performance of interprovincial CO2 emission reduction quota trading in China," Applied Energy, Elsevier, vol. 112(C), pages 1518-1528.
    23. Zha, Donglan & Zhou, Dequn, 2014. "The elasticity of substitution and the way of nesting CES production function with emphasis on energy input," Applied Energy, Elsevier, vol. 130(C), pages 793-798.
    24. Zhou, P. & Zhou, X. & Fan, L.W., 2014. "On estimating shadow prices of undesirable outputs with efficiency models: A literature review," Applied Energy, Elsevier, vol. 130(C), pages 799-806.
    25. Feijoo, Felipe & Das, Tapas K., 2014. "Design of Pareto optimal CO2 cap-and-trade policies for deregulated electricity networks," Applied Energy, Elsevier, vol. 119(C), pages 371-383.
    26. Wei, Chu & Ni, Jinlan & Du, Limin, 2012. "Regional allocation of carbon dioxide abatement in China," China Economic Review, Elsevier, vol. 23(3), pages 552-565.
    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. Lu, Shibao & Wang, Jianhua & Shang, Yizi & Bao, Haijun & Chen, Huixiong, 2017. "Potential assessment of optimizing energy structure in the city of carbon intensity target," Applied Energy, Elsevier, vol. 194(C), pages 765-773.
    2. Du, Limin & Hanley, Aoife & Wei, Chu, 2015. "Estimating the Marginal Abatement Cost Curve of CO2 Emissions in China: Provincial Panel Data Analysis," Energy Economics, Elsevier, vol. 48(C), pages 217-229.
    3. Minxing Jiang & Bangzhu Zhu & Julien Chevallier & Rui Xie, 2018. "Allocating provincial CO2 quotas for the Chinese national carbon program," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 62(3), pages 457-479, July.
    4. Jiang, Jingjing & Xie, Dejun & Ye, Bin & Shen, Bo & Chen, Zhanming, 2016. "Research on China’s cap-and-trade carbon emission trading scheme: Overview and outlook," Applied Energy, Elsevier, vol. 178(C), pages 902-917.
    5. Fan, Ying & Wu, Jie & Xia, Yan & Liu, Jing-Yu, 2016. "How will a nationwide carbon market affect regional economies and efficiency of CO2 emission reduction in China?," China Economic Review, Elsevier, vol. 38(C), pages 151-166.
    6. Ziheng Niu & Jianliang Xiong & Xuesong Ding & Yao Wu, 2022. "Analysis of China’s Carbon Peak Achievement in 2025," Energies, MDPI, vol. 15(14), pages 1-18, July.
    7. Zhang, Yue-Jun & Wang, Ao-Dong & Da, Ya-Bin, 2014. "Regional allocation of carbon emission quotas in China: Evidence from the Shapley value method," Energy Policy, Elsevier, vol. 74(C), pages 454-464.
    8. Zhou, P. & Wang, M., 2016. "Carbon dioxide emissions allocation: A review," Ecological Economics, Elsevier, vol. 125(C), pages 47-59.
    9. Wu, Jianxin & Ma, Chunbo & Tang, Kai, 2019. "The static and dynamic heterogeneity and determinants of marginal abatement cost of CO2 emissions in Chinese cities," Energy, Elsevier, vol. 178(C), pages 685-694.
    10. Jie Wu, Ying Fan, Yan Xia, 2016. "The Economic Effects of Initial Quota Allocations on Carbon Emissions Trading in China," The Energy Journal, International Association for Energy Economics, vol. 0(China Spe).
    11. Di Maria, Corrado & Zarkovic, Maja & Hintermann, Beat, 2020. "Are Emissions Trading Schemes Cost-effective?," Working papers 2020/13, Faculty of Business and Economics - University of Basel.
    12. Pan, Xunzhang & Teng, Fei & Ha, Yuejiao & Wang, Gehua, 2014. "Equitable Access to Sustainable Development: Based on the comparative study of carbon emission rights allocation schemes," Applied Energy, Elsevier, vol. 130(C), pages 632-640.
    13. Shixiong Cheng & Wei Liu & Kai Lu, 2018. "Economic Growth Effect and Optimal Carbon Emissions under China’s Carbon Emissions Reduction Policy: A Time Substitution DEA Approach," Sustainability, MDPI, vol. 10(5), pages 1-23, May.
    14. Dai, Sheng & Zhou, Xun & Kuosmanen, Timo, 2020. "Forward-looking assessment of the GHG abatement cost: Application to China," Energy Economics, Elsevier, vol. 88(C).
    15. Chang, Kai & Zhang, Chao & Chang, Hao, 2016. "Emissions reduction allocation and economic welfare estimation through interregional emissions trading in China: Evidence from efficiency and equity," Energy, Elsevier, vol. 113(C), pages 1125-1135.
    16. Karplus, Valerie J. & Rausch, Sebastian & Zhang, Da, 2016. "Energy caps: Alternative climate policy instruments for China?," Energy Economics, Elsevier, vol. 56(C), pages 422-431.
    17. Zhou, X. & Fan, L.W. & Zhou, P., 2015. "Marginal CO2 abatement costs: Findings from alternative shadow price estimates for Shanghai industrial sectors," Energy Policy, Elsevier, vol. 77(C), pages 109-117.
    18. Zhang, Lin, 2017. "Correcting the uneven burden sharing of emission reduction across provinces in China," Energy Economics, Elsevier, vol. 64(C), pages 335-345.
    19. Tang, Ling & Shi, Jiarui & Bao, Qin, 2016. "Designing an emissions trading scheme for China with a dynamic computable general equilibrium model," Energy Policy, Elsevier, vol. 97(C), pages 507-520.
    20. Chen, Zhenling & Yuan, Xiao-Chen & Zhang, Xiaoling & Cao, Yunfei, 2020. "How will the Chinese national carbon emissions trading scheme work? The assessment of regional potential gains," Energy Policy, Elsevier, vol. 137(C).

    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:appene:v:136:y:2014:i:c:p:1043-1052. 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/wps/find/journaldescription.cws_home/405891/description#description .

    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.