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The gigatonne gap in China’s carbon dioxide inventories

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  • Dabo Guan

    (Key Laboratory of Pollution Ecology and Environmental Engineering, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
    School of Earth and Environment, University of Leeds
    St Edmund’s College, University of Cambridge)

  • Zhu Liu

    (Key Laboratory of Pollution Ecology and Environmental Engineering, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
    Graduate University of Chinese Academy of Sciences)

  • Yong Geng

    (Key Laboratory of Pollution Ecology and Environmental Engineering, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China)

  • Sören Lindner

    (University of Cambridge)

  • Klaus Hubacek

    (University of Maryland)

Abstract

Reliable statistics are important for both climate science and international negotiations about emission-reduction targets. However, China is often questioned in terms of its data transparency and accuracy. Now researchers have compiled the carbon dioxide emission inventories for China and its 30 provinces for the period 1997–2010, and found a 1.4 gigatonne discrepancy between national and provincial inventories in 2010.

Suggested Citation

  • Dabo Guan & Zhu Liu & Yong Geng & Sören Lindner & Klaus Hubacek, 2012. "The gigatonne gap in China’s carbon dioxide inventories," Nature Climate Change, Nature, vol. 2(9), pages 672-675, September.
    • Handle: RePEc:nat:natcli:v:2:y:2012:i:9:d:10.1038_nclimate1560
    DOI: 10.1038/nclimate1560
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    Cited by:

    1. Liu, Qilu & Cheng, Kaiming & Zhuang, Yanjie, 2022. "Estimation of city energy consumption in China based on downscaling energy balance tables," Energy, Elsevier, vol. 256(C).
    2. Liu, Yang & Zhang, Congrui & Xu, Xiaochuan & Ge, Yongxiang & Ren, Gaofeng, 2022. "Assessment of energy conservation potential and cost in open-pit metal mines: Bottom-up approach integrated energy conservation supply curve and ultimate pit limit," Energy Policy, Elsevier, vol. 163(C).
    3. Shao, Jun & Wang, Lianghu, 2023. "Can new-type urbanization improve the green total factor energy efficiency? Evidence from China," Energy, Elsevier, vol. 262(PB).
    4. Du, Mengbing & Zhang, Xiaoling & Xia, Lang & Cao, Libin & Zhang, Zhe & Zhang, Li & Zheng, Heran & Cai, Bofeng, 2022. "The China Carbon Watch (CCW) system: A rapid accounting of household carbon emissions in China at the provincial level," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    5. Pan He & Beiming Cai & Giovanni Baiocchi & Zhu Liu, 2021. "Drivers of GHG emissions from dietary transition patterns in China: Supply versus demand options," Journal of Industrial Ecology, Yale University, vol. 25(3), pages 707-719, June.
    6. Rao, Guangming & Liao, Jiao & Zhu, Yanping & Guo, Lin, 2022. "Decoupling of economic growth from CO2 emissions in Yangtze River Economic Belt sectors: A sectoral correlation effects perspective," Applied Energy, Elsevier, vol. 307(C).

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