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How modifications of China's energy data affect carbon mitigation targets

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  • Zheng, Heran
  • Shan, Yuli
  • Mi, Zhifu
  • Meng, Jing
  • Ou, Jiamin
  • Schroeder, Heike
  • Guan, Dabo

Abstract

Frequent modifications to energy statistics have led to considerable uncertainty in China's ability to achieve its carbon mitigation targets. Here, we quantitatively measure the impact of energy data revisions on China's ability to achieve its mitigation targets. Our results indicate the following effects of data revisions: 1. Mitigation challenges have increased by 5%, and the achievement of national mitigation targets (as well as international pledges) might be postponed by two years. 2. Greater than expected carbon space or emission quota (from 22.94 to 31.31 Gt) will be obtained from 2015 to 2035. 3. CO2 peak levels may become highly uncertain, with the uncertainty varying from 12% to 29%. In addition to national mitigation targets, data revision has profound implications for key industrial sectors. For example, raw coal consumption by the cement and iron and steel industries has long been underestimated, bringing uncertainty to the achievement of industrial mitigation targets. Our results reveal considerable uncertainty in China's energy data, and this uncertainty suggests that previous mitigation achievements have been overestimated and that the mitigation targets, carbon space values, and peak level estimates proposed by future mitigation schemes may not be reached.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:enepol:v:116:y:2018:i:c:p:337-343
    DOI: 10.1016/j.enpol.2018.02.031
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    1. Sinton, Jonathan E., 2001. "Accuracy and reliability of China's energy statistics," China Economic Review, Elsevier, vol. 12(4), pages 373-383.
    2. Ma, Ben & Song, Guojun & Zhang, Lei & Sonnenfeld, David A., 2014. "Explaining sectoral discrepancies between national and provincial statistics in China," China Economic Review, Elsevier, vol. 30(C), pages 353-369.
    3. 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.
    4. Qi, Ye & Stern, Nicholas & Wu, Tong & Lu, Jiaqi & Green, Fergus, 2016. "China's post-coal growth," LSE Research Online Documents on Economics 67503, London School of Economics and Political Science, LSE Library.
    5. 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.
    6. Wang, Xin, 2011. "On China's energy intensity statistics: Toward a comprehensive and transparent indicator," Energy Policy, Elsevier, vol. 39(11), pages 7284-7289.
    7. van Ruijven, Bas J. & Weitzel, Matthias & den Elzen, Michel G.J. & Hof, Andries F. & van Vuuren, Detlef P. & Peterson, Sonja & Narita, Daiju, 2012. "Emission allowances and mitigation costs of China and India resulting from different effort-sharing approaches," Energy Policy, Elsevier, vol. 46(C), pages 116-134.
    8. Li, Huimin & Wu, Tong & Zhao, Xiaofan & Wang, Xiao & Qi, Ye, 2014. "Regional disparities and carbon “outsourcing”: The political economy of China's energy policy," Energy, Elsevier, vol. 66(C), pages 950-958.
    9. Liu, Zhu & Geng, Yong & Lindner, Soeren & Guan, Dabo, 2012. "Uncovering China’s greenhouse gas emission from regional and sectoral perspectives," Energy, Elsevier, vol. 45(1), pages 1059-1068.
    10. Zhang, Xiliang & Karplus, Valerie J. & Qi, Tianyu & Zhang, Da & He, Jiankun, 2016. "Carbon emissions in China: How far can new efforts bend the curve?," Energy Economics, Elsevier, vol. 54(C), pages 388-395.
    11. Shan, Yuli & Liu, Zhu & Guan, Dabo, 2016. "CO2 emissions from China’s lime industry," Applied Energy, Elsevier, vol. 166(C), pages 245-252.
    12. Li, Huimin & Zhao, Xiaofan & Yu, Yuqing & Wu, Tong & Qi, Ye, 2016. "China's numerical management system for reducing national energy intensity," Energy Policy, Elsevier, vol. 94(C), pages 64-76.
    13. Green, Fergus & Stern, Nicholas, 2016. "China’s changing economy: implications for its carbon dioxide emissions," LSE Research Online Documents on Economics 65483, London School of Economics and Political Science, LSE Library.
    14. Wang, Can & Lin, Jie & Cai, Wenjia & Liao, Hua, 2014. "China׳s carbon mitigation strategies: Enough?," Energy Policy, Elsevier, vol. 73(C), pages 47-56.
    Full references (including those not matched with items on IDEAS)

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    Keywords

    Mitigation; China; Uncertainty; Data revision; CO2 inventory;
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