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Carbon Abatement Technology Transformation and Correlated Risks in the Airline Industry

Author

Listed:
  • Lei Xu

    (Economics and Management College, Civil Aviation University of China, Tianjin 300300, China)

  • Han Yin

    (School of Transportation Science and Engineering, Civil Aviation University of China, Tianjin 300300, China)

  • Min Sun

    (Economics and Management College, Civil Aviation University of China, Tianjin 300300, China)

  • Mengyu Wang

    (Economics and Management College, Civil Aviation University of China, Tianjin 300300, China)

  • Kaiwen Shen

    (Economics and Management College, Civil Aviation University of China, Tianjin 300300, China)

  • Jie Ji

    (School of Arts, Design & Architecture, University of New South Wales, Sydney, NSW 2052, Australia)

Abstract

The airline industry is currently navigating a pivotal period characterized by rapid development and increasing global pressure to reduce carbon emissions. Airlines, as the first to be significantly impacted, must actively manage their carbon footprints, adopt carbon abatement technologies, and address the inherent risks in this transformation. This paper examines the risk factors correlated with the technology transformation of carbon abatement and proposes effective abatement strategies. Using panel data of China Southern Airlines from 2009 to 2023 and applying the Logarithmic Mean Divisia Index (LMDI) method based on the Kaya identity, we analyze the differential impacts of various factors on unit carbon emissions. Multiple scenarios, derived from the influences of these factors, are constructed, and the Monte Carlo algorithm is employed to simulate the impact and volatility of correlated risks in the technology transformation for the abatement of carbon emissions. The findings are as follows: on the one hand, carbon emissions are strongly driven by energy consumption (0.99), flight volume (0.941), flight hours (0.931), transportation turnover (0.923), and take-off frequency (0.833). On the other hand, technology (56%) and scale (54.74%) significantly reduce unit carbon emissions, while take-off frequency negatively impacts emissions (−35.19%). Technology-related risks are controllable and relatively stable, whereas scale-related risks are highly uncertain. Additionally, operation-related risks can be partially hedged to ensure a certain level of risk controllability.

Suggested Citation

  • Lei Xu & Han Yin & Min Sun & Mengyu Wang & Kaiwen Shen & Jie Ji, 2025. "Carbon Abatement Technology Transformation and Correlated Risks in the Airline Industry," Sustainability, MDPI, vol. 17(4), pages 1-22, February.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:4:p:1399-:d:1586724
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    References listed on IDEAS

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    1. Emanuele Campiglio & Frederick van der Ploeg, 2022. "Macrofinancial Risks of the Transition to a Low-Carbon Economy," Review of Environmental Economics and Policy, University of Chicago Press, vol. 16(2), pages 173-195.
    2. Zhang, M.M. & Zhou, P. & Zhou, D.Q., 2016. "A real options model for renewable energy investment with application to solar photovoltaic power generation in China," Energy Economics, Elsevier, vol. 59(C), pages 213-226.
    3. Peng Du & Lei Xu & Rou Luo & Mingzhu Hou, 2024. "Competing with Low Cost Carrier in a Sustainable Environment: Airline Ticket Pricing, Carbon Trading, and Market Power Structure," Sustainability, MDPI, vol. 16(2), pages 1-17, January.
    4. Lei Xu & Zhenzhen Lu & Zhiping Kang & Yingwen Duan & Junwei Zhang, 2023. "Carbon Emission Intensity and Its Abatement Choices: A Case of China Eastern," Sustainability, MDPI, vol. 15(23), pages 1-16, November.
    5. Li, Ye & Cui, Qiang, 2018. "Investigating the role of cooperation in the GHG abatement costs of airlines under CNG2020 strategy via a DEA cross PAC model," Energy, Elsevier, vol. 161(C), pages 725-736.
    6. Brueckner, Jan K. & Abreu, Chrystyane, 2017. "Airline fuel usage and carbon emissions: Determining factors," Journal of Air Transport Management, Elsevier, vol. 62(C), pages 10-17.
    7. Zhang, Peiwen & Ding, Rui, 2023. "How to achieve carbon abatement in aviation with hybrid mechanism? A stochastic evolutionary game model," Energy, Elsevier, vol. 285(C).
    8. Guilherme Magacho & Etienne Espagne & Antoine Godin, 2024. "Impacts of the CBAM on EU trade partners: consequences for developing countries," Climate Policy, Taylor & Francis Journals, vol. 24(2), pages 243-259, February.
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    Cited by:

    1. Liukun Zhang & Jiani Zhao, 2025. "Research on Pathways to Improve Carbon Emission Efficiency of Chinese Airlines," Sustainability, MDPI, vol. 17(15), pages 1-17, July.

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