IDEAS home Printed from https://ideas.repec.org/a/spr/masfgc/v21y2016i1p1-14.html
   My bibliography  Save this article

Intersectoral burden sharing of CO 2 mitigation in China in 2020

Author

Listed:
  • Weidong Chen
  • Qing He

Abstract

The aim of this paper is to provide a sector-based method for carbon dioxide (CO 2 ) emissions control and to disaggregate China’s national CO 2 mitigation burden at the sectoral level. Based on a detailed analysis of three burden sharing indicators—responsibility, capacity, and efficiency—this paper derives a mitigation burden index to suggest which economic sectors should bear more (or less) mitigation burden. A multi criteria allocation model of sectoral CO 2 intensity (CO 2 per unit of added value) is then constructed to determine each sector’s mitigation target for 2020. The main findings are: (1) Allocation results based on multi criteria are more acceptable and practical than those based on only one criterion. (2) Policy maker preference for criteria has a significant effect on allocation results. (3) The fours sectors, manufacture of raw chemical materials and chemical products, manufacture of non-metallic mineral products, smelting and pressing of ferrous metals, and other services, consistently bear the highest mitigation burden. This paper offers policy makers a sector-based method to control CO 2 emissions. Combining this method with sectoral potential for technological advancement and sectoral mitigation costs would produce a more feasible and cost effective burden sharing scheme. Copyright Springer Science+Business Media Dordrecht 2016

Suggested Citation

  • Weidong Chen & Qing He, 2016. "Intersectoral burden sharing of CO 2 mitigation in China in 2020," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 21(1), pages 1-14, January.
    • Handle: RePEc:spr:masfgc:v:21:y:2016:i:1:p:1-14
    DOI: 10.1007/s11027-014-9566-3
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11027-014-9566-3
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11027-014-9566-3?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. Adam Rose & Zhong Zhang, 2004. "Interregional burden-sharing of greenhouse gas mitigation in the United States," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 9(4), pages 477-500, October.
    2. Cai, Wenjia & Wang, Can & Chen, Jining & Wang, Ke & Zhang, Ying & Lu, Xuedu, 2008. "Comparison of CO2 emission scenarios and mitigation opportunities in China's five sectors in 2020," Energy Policy, Elsevier, vol. 36(3), pages 1181-1194, March.
    3. Xia, X.H. & Chen, G.Q., 2012. "Energy abatement in Chinese industry: Cost evaluation of regulation strategies and allocation alternatives," Energy Policy, Elsevier, vol. 45(C), pages 449-458.
    4. Ringius, Lasse & Torvanger, Asbjorn & Holtsmark, Bjart, 1998. "Can multi-criteria rules fairly distribute climate burdens?: OECD results from three burden sharing rules," Energy Policy, Elsevier, vol. 26(10), pages 777-793, August.
    5. Liu, Lan-Cui & Fan, Ying & Wu, Gang & Wei, Yi-Ming, 2007. "Using LMDI method to analyze the change of China's industrial CO2 emissions from final fuel use: An empirical analysis," Energy Policy, Elsevier, vol. 35(11), pages 5892-5900, November.
    6. Dai, Hancheng & Masui, Toshihiko & Matsuoka, Yuzuru & Fujimori, Shinichiro, 2011. "Assessment of China's climate commitment and non-fossil energy plan towards 2020 using hybrid AIM/CGE model," Energy Policy, Elsevier, vol. 39(5), pages 2875-2887, May.
    7. Keigo Akimoto & Fuminori Sano & Junichiro Oda & Takashi Homma & Ullash Kumar Rout & Toshimasa Tomoda, 2008. "Global emission reductions through a sectoral intensity target scheme," Climate Policy, Taylor & Francis Journals, vol. 8(sup1), pages 46-59, December.
    8. Wang, Yafei & Liang, Sai, 2013. "Carbon dioxide mitigation target of China in 2020 and key economic sectors," Energy Policy, Elsevier, vol. 58(C), pages 90-96.
    9. Wang, Ke & Wei, Yi-Ming & Zhang, Xian, 2012. "A comparative analysis of China’s regional energy and emission performance: Which is the better way to deal with undesirable outputs?," Energy Policy, Elsevier, vol. 46(C), pages 574-584.
    10. Wang, Ke & Zhang, Xian & Wei, Yi-Ming & Yu, Shiwei, 2013. "Regional allocation of CO2 emissions allowance over provinces in China by 2020," Energy Policy, Elsevier, vol. 54(C), pages 214-229.
    11. 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.
    12. Yi, Wen-Jing & Zou, Le-Le & Guo, Jie & Wang, Kai & Wei, Yi-Ming, 2011. "How can China reach its CO2 intensity reduction targets by 2020? A regional allocation based on equity and development," Energy Policy, Elsevier, vol. 39(5), pages 2407-2415, May.
    13. Adam Rose & Brandt Stevens & Jae Edmonds & Marshall Wise, 1998. "International Equity and Differentiation in Global Warming Policy," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 12(1), pages 25-51, July.
    14. Zhang, Yan & Zhang, Jinyun & Yang, Zhifeng & Li, Shengsheng, 2011. "Regional differences in the factors that influence China’s energy-related carbon emissions, and potential mitigation strategies," Energy Policy, Elsevier, vol. 39(12), pages 7712-7718.
    15. Phylipsen, G J M & Bode, J W & Blok, K & Merkus, H & Metz, B, 1998. "A Triptych sectoral approach to burden differentiation; GHG emissions in the European bubble," Energy Policy, Elsevier, vol. 26(12), pages 929-943, October.
    16. Gupta, Sujata & M Bhandari, Preety, 1999. "An effective allocation criterion for CO2 emissions," Energy Policy, Elsevier, vol. 27(12), pages 727-736, November.
    17. Wang, Tao & Watson, Jim, 2010. "Scenario analysis of China's emissions pathways in the 21st century for low carbon transition," Energy Policy, Elsevier, vol. 38(7), pages 3537-3546, July.
    18. Zhang, Lixiao & Yang, Zhifeng & Chen, Bin & Chen, Guoqian, 2009. "Rural energy in China: Pattern and policy," Renewable Energy, Elsevier, vol. 34(12), pages 2813-2823.
    19. Jake Schmidt & Ned Helme & Jin Lee & Mark Houdashelt, 2008. "Sector-based approach to the post-2012 climate change policy architecture," Climate Policy, Taylor & Francis Journals, vol. 8(5), pages 494-515, September.
    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. Zheng, Heran & Shan, Yuli & Mi, Zhifu & Meng, Jing & Ou, Jiamin & Schroeder, Heike & Guan, Dabo, 2018. "How modifications of China's energy data affect carbon mitigation targets," Energy Policy, Elsevier, vol. 116(C), pages 337-343.
    2. Wu, Feng & Huang, Ningyu & Zhang, Fan & Niu, Lulu & Zhang, Yali, 2020. "Analysis of the carbon emission reduction potential of China's key industries under the IPCC 2 °C and 1.5 °C limits," Technological Forecasting and Social Change, Elsevier, vol. 159(C).

    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. Zhou, P. & Wang, M., 2016. "Carbon dioxide emissions allocation: A review," Ecological Economics, Elsevier, vol. 125(C), pages 47-59.
    2. Baochen Yang & Chuanze Liu & Yunpeng Su & Xin Jing, 2017. "The Allocation of Carbon Intensity Reduction Target by 2020 among Industrial Sectors in China," Sustainability, MDPI, vol. 9(1), pages 1-19, January.
    3. Zhu, Bangzhu & Jiang, Mingxing & He, Kaijian & Chevallier, Julien & Xie, Rui, 2018. "Allocating CO2 allowances to emitters in China: A multi-objective decision approach," Energy Policy, Elsevier, vol. 121(C), pages 441-451.
    4. Kejia Yang & Yalin Lei & Weiming Chen & Lingna Liu, 2018. "Carbon dioxide emission reduction quota allocation study on Chinese provinces based on two-stage Shapley information entropy model," 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. 91(1), pages 321-335, March.
    5. Ni, Jinlan & Wei, Chu & Du, Limin, 2015. "Revealing the political decision toward Chinese carbon abatement: Based on equity and efficiency criteria," Energy Economics, Elsevier, vol. 51(C), pages 609-621.
    6. 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.
    7. 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.
    8. Wang, Ke & Zhang, Xian & Wei, Yi-Ming & Yu, Shiwei, 2013. "Regional allocation of CO2 emissions allowance over provinces in China by 2020," Energy Policy, Elsevier, vol. 54(C), pages 214-229.
    9. Christoph Böhringer & Nicholas Rivers & Thomas Rutherford & Randall Wigle, 2015. "Sharing the burden for climate change mitigation in the Canadian federation," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 48(4), pages 1350-1380, November.
    10. Guoyu Wang & Jinsheng Zhou, 2022. "Multiobjective Optimization of Carbon Emission Reduction Responsibility Allocation in the Open-Pit Mine Production Process against the Background of Peak Carbon Dioxide Emissions," Sustainability, MDPI, vol. 14(15), pages 1-21, August.
    11. Yue-Jun Zhang & Jun-Fang Hao, 2015. "The allocation of carbon emission intensity reduction target by 2020 among provinces in 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. 79(2), pages 921-937, November.
    12. 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.
    13. Yue-Jun Zhang & Jun-Fang Hao, 2017. "Carbon emission quota allocation among China’s industrial sectors based on the equity and efficiency principles," Annals of Operations Research, Springer, vol. 255(1), pages 117-140, August.
    14. Guo, Jin & Du, Limin & Wei, Chu, 2019. "Equity-efficiency trade-off in China's energy capping policy," Energy Policy, Elsevier, vol. 126(C), pages 57-65.
    15. Jiang, Jingjing & Ye, Bin & Xie, Dejun & Li, Ji & Miao, Lixin & Yang, Peng, 2017. "Sector decomposition of China’s national economic carbon emissions and its policy implication for national ETS development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 855-867.
    16. 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.
    17. Luo, Xiaohu & Caron, Justin & Karplus, Valerie J. & Zhang, Da & Zhang, Xiliang, 2016. "Interprovincial migration and the stringency of energy policy in China," Energy Economics, Elsevier, vol. 58(C), pages 164-173.
    18. Tan, Xianchun & Cai, Xiaoli & Cheng, Yonglong & Yan, Hongshuo, 2024. "How to control China's total amount of carbon emissions? An analysis of provincial allowance demands," Energy, Elsevier, vol. 303(C).
    19. Han, Rong & Li, Jianglong & Guo, Zhi, 2022. "Optimal quota in China's energy capping policy in 2030 with renewable targets and sectoral heterogeneity," Energy, Elsevier, vol. 239(PA).
    20. Wang, Ke & Wei, Yi-Ming & Huang, Zhimin, 2016. "Potential gains from carbon emissions trading in China: A DEA based estimation on abatement cost savings," Omega, Elsevier, vol. 63(C), pages 48-59.

    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:spr:masfgc:v:21:y:2016:i:1:p:1-14. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.