IDEAS home Printed from https://ideas.repec.org/a/ags/illufd/358374.html
   My bibliography  Save this article

The Transition to Sustainable Aviation Fuel: Understanding Demand Response to Jet Fuel Price Changes

Author

Listed:
  • Ryu, Sohyeon
  • Janzen, Joe

Abstract

Renewable fuels policy has linked agricultural markets to the demand for transportation. (Irwin, 2019) For example, the US renewable fuels standard (RFS) mandates blending specific quantities of ethanol (mainly derived from corn) into the US gasoline fuel supply. Setting and meeting these blending requirements has become complicated in an era when gasoline consumption growth has been limited. More recently, renewable fuels policy has turned its attention to aviation. Air travel using jet fuel is a major contributor to greenhouse gas emissions. As the number of air travelers has and is expected to continue growing, greenhouse gas emissions from the aviation sector have been rising. Traditional petroleum-derived jet fuel use has been the target of climate and environmental policy. Such policy aims to reduce emissions created by jet fuel use by encouraging a switch to lower-emission sustainable aviation fuels (SAF) made from plant biomass, vegetable oils, sugars, and alcohols including ethanol. For US agriculture, corn and soybean oil markets view SAF as a potentially significant source of future demand (Swanson, 2024). The success of SAF-focused policies in both reducing environmental damage and driving demand for feedstocks like corn ethanol or soybean oil depends in part on how airlines respond to market changes caused by such policies. Federal and state initiatives to encourage the shift from jet fuel to SAF include sales taxes on jet fuel and tax credit subsidies for SAF. For example, Illinois has a Sustainable Aviation Fuel Purchase Credit that gives favorable sales tax treatment to SAF relative to sales taxes imposed on jet fuel. Both taxes and subsidies aim to make SAF more attractive by increasing the price of jet fuel relative to SAF. With price as a policy instrument, the sensitivity of airlines and other jet fuel buyers to price changes is a crucial factor in achieving policy objectives. This article characterizes airlines’ responses to changes in jet fuel prices. Descriptive evidence suggests jet fuel demand is relatively unresponsive to price. The demand for aviation fuel may also respond differently to price increases compared to decreases and respond differently in the long run relative to the short run. Policies targeting aviation fuels, either by encouraging SAF use or discouraging jet fuel consumption, are likely to increase the overall price of blended aviation fuel. Understanding how airlines adjust their fuel consumption in response to price changes provides insights into the expected policy and market impacts.

Suggested Citation

  • Ryu, Sohyeon & Janzen, Joe, 2024. "The Transition to Sustainable Aviation Fuel: Understanding Demand Response to Jet Fuel Price Changes," farmdoc daily, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics, vol. 14(233).
  • Handle: RePEc:ags:illufd:358374
    DOI: 10.22004/ag.econ.358374
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/358374/files/fdd122624.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.358374?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Wadud, Zia, 2014. "The asymmetric effects of income and fuel price on air transport demand," Transportation Research Part A: Policy and Practice, Elsevier, vol. 65(C), pages 92-102.
    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. Akinyemi, Yingigba Chioma, 2023. "Air cargo demand in Africa: Application of cointegration and error correction modelling techniques," Journal of Air Transport Management, Elsevier, vol. 109(C).
    2. Wadud, Zia, 2015. "Decomposing the drivers of aviation fuel demand using simultaneous equation models," Energy, Elsevier, vol. 83(C), pages 551-559.
    3. Chen, Jieh-Haur & Wei, Hsi-Hsien & Chen, Chih-Lin & Wei, Hsin-Yi & Chen, Yi-Ping & Ye, Zhongnan, 2020. "A practical approach to determining critical macroeconomic factors in air-traffic volume based on K-means clustering and decision-tree classification," Journal of Air Transport Management, Elsevier, vol. 82(C).
    4. Egon Smeral, 2019. "Seasonal forecasting performance considering varying income elasticities in tourism demand," Tourism Economics, , vol. 25(3), pages 355-374, May.
    5. Wang, Sen & Gao, Yi, 2021. "A literature review and citation analyses of air travel demand studies published between 2010 and 2020," Journal of Air Transport Management, Elsevier, vol. 97(C).
    6. Raihan, Asif & Voumik, Liton Chandra & Akter, Salma & Ridzuan, Abdul Rahim & Fahlevi, Mochammad & Aljuaid, Mohammed & Saniuk, Sebastian, 2024. "Taking flight: Exploring the relationship between air transport and Malaysian economic growth," Journal of Air Transport Management, Elsevier, vol. 115(C).
    7. Adedoyin, Festus Fatai & Bekun, Festus Victor & Driha, Oana M. & Balsalobre-Lorente, Daniel, 2020. "The effects of air transportation, energy, ICT and FDI on economic growth in the industry 4.0 era: Evidence from the United States," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    8. Francesco Cerigioni, 2021. "Dual Decision Processes: Retrieving Preferences When Some Choices Are Automatic," Journal of Political Economy, University of Chicago Press, vol. 129(6), pages 1667-1704.
    9. Chi, Junwook, 2018. "Imperfect reversibility of fuel demand for road transport: Asymmetric and hysteretic effects of income and price changes in Korea," Transport Policy, Elsevier, vol. 71(C), pages 116-125.
    10. Lo, Winnie Wai Ling & Wan, Yulai & Zhang, Anming, 2015. "Empirical estimation of price and income elasticities of air cargo demand: The case of Hong Kong," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 309-324.
    11. Kamyabi, Najmeh & Chidmi, Benaissa, 2022. "Gasoline demand in the United States: An asymmetric economic analysis," The Journal of Economic Asymmetries, Elsevier, vol. 26(C).
    12. Pal, Debdatta & Mitra, Subrata K., 2022. "Do airfares respond asymmetrically to fuel price changes? A multiple threshold nonlinear ARDL model," Energy Economics, Elsevier, vol. 111(C).
    13. Sotirios Thanos & Maria Kamargianni & Andreas Schäfer, 2018. "Car Travel Demand: Spillovers and Asymmetric Price Effects in a Spatial Setting," Transportation Science, INFORMS, vol. 52(3), pages 621-636, June.
    14. Wadud, Zia, 2015. "Imperfect reversibility of air transport demand: Effects of air fare, fuel prices and price transmission," Transportation Research Part A: Policy and Practice, Elsevier, vol. 72(C), pages 16-26.
    15. Wang, Yue & Wong, Collin Wai Hung & Cheung, Tommy King-Yin & Wu, Edmund Yangming, 2021. "How influential factors affect aviation networks: A Bayesian network analysis," Journal of Air Transport Management, Elsevier, vol. 91(C).

    More about this item

    Keywords

    Agribusiness; Energy Markets;

    Statistics

    Access and download statistics

    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:ags:illufd:358374. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/dauiuus.html .

    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.