IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i20p8950-d1499749.html
   My bibliography  Save this article

Research on the Carbon Emission Prediction and Reduction Strategies for the Civil Aviation Industry in China: A System Dynamics Approach

Author

Listed:
  • Wei Chen

    (College of Air Traffic Management, Civil Aviation Flight University of China, Guanghan 618307, China)

  • Yi Ai

    (College of Air Traffic Management, Civil Aviation Flight University of China, Guanghan 618307, China)

Abstract

With the continuous growth in the volume of global air transportation, the carbon emissions of the civil aviation industry have received increasing attention. Carbon emission reduction in civil aviation is an inevitable requirement for achieving sustainable social development. This article aims to use system dynamics (SD) methods to establish a carbon emission model for the civil aviation industry that includes economic, demographic, technological, policy, and behavioral factors; analyze the key factors that affect carbon emissions; and explore effective emission reduction strategies. Researchers have found that SD-based carbon emission prediction has a high accuracy and is suitable for predicting carbon emissions in civil aviation. Through different scenario simulations, it has been found that any single emission reduction measure will struggle to effectively contribute to the expected carbon reductions in China’s civil aviation. Simultaneously adopting measures such as improving fuel efficiency, adopting clean energy, and using new-power aircraft is an effective way to reduce carbon emissions from civil aviation. In addition, policy intervention and technological innovation are equally crucial for achieving long-term emission reduction goals. The research results not only provide a scientific basis for the sustainable development of the aviation industry but also provide a reference for policymakers to formulate comprehensive emission reduction strategies.

Suggested Citation

  • Wei Chen & Yi Ai, 2024. "Research on the Carbon Emission Prediction and Reduction Strategies for the Civil Aviation Industry in China: A System Dynamics Approach," Sustainability, MDPI, vol. 16(20), pages 1-15, October.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:20:p:8950-:d:1499749
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/20/8950/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/20/8950/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chen, Lu & Li, Xin & Liu, Wei & Kang, Xinyu & Zhao, Yifei & Wang, Minxi, 2024. "System dynamics-multiple the objective optimization model for the coordinated development of urban economy-energy-carbon system," Applied Energy, Elsevier, vol. 371(C).
    2. Timilsina, Govinda R. & Shrestha, Ashish, 2009. "Why have CO2 emissions increased in the transport sector in Asia ? underlying factors and policy options," Policy Research Working Paper Series 5098, The World Bank.
    3. 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.
    4. Lu, Binbin & Dong, Jintao & Wang, Chun & Sun, Huabo & Yao, Hongyu, 2024. "High-resolution spatio-temporal estimation of CO2 emissions from China's civil aviation industry," Applied Energy, Elsevier, vol. 373(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Reham Alhindawi & Yousef Abu Nahleh & Arun Kumar & Nirajan Shiwakoti, 2020. "Projection of Greenhouse Gas Emissions for the Road Transport Sector Based on Multivariate Regression and the Double Exponential Smoothing Model," Sustainability, MDPI, vol. 12(21), pages 1-18, November.
    2. Mayeres, Inge & Proost, Stef & Delhaye, Eef & Novelli, Philippe & Conijn, Sjaak & Gómez-Jiménez, Inmaculada & Rivas-Brousse, Daniel, 2023. "Climate ambitions for European aviation: Where can sustainable aviation fuels bring us?," Energy Policy, Elsevier, vol. 175(C).
    3. Masato Abe, 2011. "Achieving a sustainable automotive sector in Asia and the Pacific: Challenges and opportunities for the reduction of vehicle CO2 emissions," Working Papers 10811, Asia-Pacific Research and Training Network on Trade (ARTNeT), an initiative of UNESCAP and IDRC, Canada..
    4. González, Rosa Marina & Marrero, Gustavo A. & Rodríguez-López, Jesús & Marrero, Ángel S., 2019. "Analyzing CO2 emissions from passenger cars in Europe: A dynamic panel data approach," Energy Policy, Elsevier, vol. 129(C), pages 1271-1281.
    5. Andreoni, V. & Galmarini, S., 2012. "European CO2 emission trends: A decomposition analysis for water and aviation transport sectors," Energy, Elsevier, vol. 45(1), pages 595-602.
    6. Manel Daldoul & Ahlem Dakhlaoui, 2018. "Using the LMDI Decomposition Approach to Analyze the Influencing Factors of Carbon Emissions in Tunisian Transportation Sector," International Journal of Energy Economics and Policy, Econjournals, vol. 8(6), pages 22-28.
    7. Huang, Robert & Kahn, Matthew E., 2024. "An economic analysis of United States public transit carbon emissions dynamics," Regional Science and Urban Economics, Elsevier, vol. 107(C).
    8. Robaina, Margarita & Neves, Ana, 2021. "Complete decomposition analysis of CO2 emissions intensity in the transport sector in Europe," Research in Transportation Economics, Elsevier, vol. 90(C).
    9. Lyu, Chen & Liu, Xiaoman & Wang, Zhen & Yang, Lu & Liu, Hao & Yang, Nan & Xu, Shaodong & Cao, Libin & Zhang, Zhe & Pang, Lingyun & Zhang, Li & Cai, Bofeng, 2023. "An emissions inventory using flight information reveals the long-term changes of aviation CO2 emissions in China," Energy, Elsevier, vol. 262(PB).
    10. M'raihi, Rafaa & Mraihi, Talel & Harizi, Riadh & Taoufik Bouzidi, Mohamed, 2015. "Carbon emissions growth and road freight: Analysis of the influencing factors in Tunisia," Transport Policy, Elsevier, vol. 42(C), pages 121-129.
    11. Xiaoshu Cao & Shishu OuYang & Dan Liu & Wenyue Yang, 2019. "Spatiotemporal Patterns and Decomposition Analysis of CO 2 Emissions from Transportation in the Pearl River Delta," Energies, MDPI, vol. 12(11), pages 1-17, June.
    12. Cai, Bofeng & Yang, Weishan & Cao, Dong & Liu, Lancui & Zhou, Ying & Zhang, Zhansheng, 2012. "Estimates of China's national and regional transport sector CO2 emissions in 2007," Energy Policy, Elsevier, vol. 41(C), pages 474-483.
    13. Paudel, Krishna P. & Timilsina, Govinda R., 2010. "Would There Be Surplus Grains for Biofuels? An Assessment of Agro-economic Factors and Biofuel Production Potential at the Global Level," Staff Papers 113125, Louisiana State University, Department of Agricultural Economics and Agribusiness.
    14. Anwar, Ahsan & Sharif, Arshian & Fatima, Saba & Ahmad, Paiman & Sinha, Avik & Khan, Syed Abdul Rehman & Jermsittiparsert, Kittisak, 2021. "The asymmetric effect of public private partnership investment on transport CO2 emission in China: Evidence from quantile ARDL approach," MPRA Paper 108160, University Library of Munich, Germany, revised 2021.
    15. Ben Abdallah, Khaled & Belloumi, Mounir & De Wolf, Daniel, 2015. "International comparisons of energy and environmental efficiency in the road transport sector," Energy, Elsevier, vol. 93(P2), pages 2087-2101.
    16. Wang, Zhenguo & Su, Bin & Xie, Rui & Long, Haiyu, 2020. "China’s aggregate embodied CO2 emission intensity from 2007 to 2012: A multi-region multiplicative structural decomposition analysis," Energy Economics, Elsevier, vol. 85(C).
    17. Spiritus, Kevin & Lehmann, Etienne & Renes, Sander & Zoutman, Floris T., 0. "Optimal taxation with multiple incomes and types," Theoretical Economics, Econometric Society.
    18. Geoffrey Udoka Nnadiri & Anthony S. F. Chiu & Jose Bienvenido Manuel Biona & Neil Stephen Lopez, 2021. "Comparison of Driving Forces to Increasing Traffic Flow and Transport Emissions in Philippine Regions: A Spatial Decomposition Study," Sustainability, MDPI, vol. 13(11), pages 1-17, June.
    19. Yang Song & Kevin R. Gurney, 2020. "The Relationship between On-Road FFCO 2 Emissions and Socio-Economic/Urban Form Factors for Global Cities: Significance, Robustness and Implications," Sustainability, MDPI, vol. 12(15), pages 1-24, July.
    20. Lee, Zhi Hua & Sethupathi, Sumathi & Lee, Keat Teong & Bhatia, Subhash & Mohamed, Abdul Rahman, 2013. "An overview on global warming in Southeast Asia: CO2 emission status, efforts done, and barriers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 71-81.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:20:p:8950-:d:1499749. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.