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Intersectoral burden sharing of CO 2 mitigation in China in 2020

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  • 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

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  • 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
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    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. Gupta, Sujata & M Bhandari, Preety, 1999. "An effective allocation criterion for CO2 emissions," Energy Policy, Elsevier, vol. 27(12), pages 727-736, November.
    19. 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.
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    2. 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.

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