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Trade-linked shipping CO2 emissions

Author

Listed:
  • Xiao-Tong Wang

    (Tsinghua University)

  • Huan Liu

    (Tsinghua University)

  • Zhao-Feng Lv

    (Tsinghua University)

  • Fan-Yuan Deng

    (Tsinghua University)

  • Hai-Lian Xu

    (Tsinghua University)

  • Li-Juan Qi

    (Tsinghua University)

  • Meng-Shuang Shi

    (Tsinghua University)

  • Jun-Chao Zhao

    (Tsinghua University)

  • Song-Xin Zheng

    (Tsinghua University)

  • Han-Yang Man

    (Tsinghua University)

  • Ke-Bin He

    (Tsinghua University)

Abstract

The ambitious targets for shipping emissions reduction and challenges for mechanism design call for new approaches to encourage decarbonization. Here we build a compound model chain to deconstruct global international shipping emissions to fine-scale trade flows and propose trade-linked indicators to measure shipping emissions efficiency. International maritime trade in 2018 contributes 746.2 Tg to shipping emissions of CO2, of which 17.2% is contributed from ten out of thousands of trade flows at the country level. We argue that potential unfairness exists if allocating shipping emissions responsibility to bilateral traders due to external beneficiaries. However, a huge shipping emissions-reduction potential could be expected by optimizing international trade patterns, with a maximum reaching 38% of the current total. Our comprehensive modelling system can serve as a benchmark tool to support the construction of a systematic solution and joint effort from the shipping industry and global trade network to address climate change.

Suggested Citation

  • Xiao-Tong Wang & Huan Liu & Zhao-Feng Lv & Fan-Yuan Deng & Hai-Lian Xu & Li-Juan Qi & Meng-Shuang Shi & Jun-Chao Zhao & Song-Xin Zheng & Han-Yang Man & Ke-Bin He, 2021. "Trade-linked shipping CO2 emissions," Nature Climate Change, Nature, vol. 11(11), pages 945-951, November.
    • Handle: RePEc:nat:natcli:v:11:y:2021:i:11:d:10.1038_s41558-021-01176-6
    DOI: 10.1038/s41558-021-01176-6
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    Citations

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    Cited by:

    1. Xiaofang Wu & Zhi Huang, 2024. "Estimating the costs and external benefits of reducing shipping-induced air pollution: a case study of Xiamen Harbour, China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(11), pages 28785-28808, November.
    2. Zheng Meng & Jinling Guo & Kejia Yan & Zhuan Yang & Bozi Li & Bo Zhang & Bin Chen, 2022. "China’s Trade of Agricultural Products Drives Substantial Greenhouse Gas Emissions," IJERPH, MDPI, vol. 19(23), pages 1-16, November.
    3. Pan, Shuai & Yu, Wendi & Fulton, Lewis M. & Jung, Jia & Choi, Yunsoo & Gao, H. Oliver, 2023. "Impacts of the large-scale use of passenger electric vehicles on public health in 30 US. metropolitan areas," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
    4. Gu, Heng & Chang, Yunwei & Chen, Yuanyuan & Guo, Jiang rong & Zou, Deqiu, 2024. "Experimental research on pipeless power battery cooling system using shape-stabilized phase change materials (SSPCM) coupled with seawater," Energy, Elsevier, vol. 286(C).
    5. Zhang, Shuai & Yang, Dewei & Ji, Yijia & Meng, Haishan & Zhou, Tian & Zhang, Junmei & Yang, Hang, 2024. "Spatio-temporal patterns and cascading risks of embodied energy flows in China," Energy, Elsevier, vol. 298(C).
    6. Xinwei Zhao & Xinsong Yang & Geng Peng & Shengjie Yue, 2023. "International Trade and Carbon Emissions: Evaluating the Role of Trade Rule Uncertainty," Sustainability, MDPI, vol. 15(15), pages 1-19, July.
    7. Tee, Chwee-Ming & Wong, Wai-Yan & Hooy, Chee-Wooi, 2023. "Economic policy uncertainty and carbon footprint: International evidence," Journal of Multinational Financial Management, Elsevier, vol. 67(C).
    8. J. Verschuur & E. E. Koks & J. W. Hall, 2022. "Ports’ criticality in international trade and global supply-chains," Nature Communications, Nature, vol. 13(1), pages 1-13, December.

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