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How to mix per-flight and per-passenger based airport charges: The oligopoly case

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  • Czerny, Achim I.
  • Cowan, Simon
  • Zhang, Anming
Abstract
While airport aeronautical charges are traditionally aircraft-weight related, currently an increasing share of aeronautical airport revenues is derived from passenger related charges. This paper compares the optimal mix of per-passenger and per-flight based (cost recovering) airport charges from the carriers’ and the social viewpoints when carrier markets are oligopolistic. We show that positive per-passenger charges might be able to support the implementation of monopoly fares at slot-constrained airports. They can also mitigate strategic frequency reductions at uncongested airports, leading to an increase in both carrier profit and welfare relative to a charging scheme that fully relies on per-flight charges.

Suggested Citation

  • Czerny, Achim I. & Cowan, Simon & Zhang, Anming, 2017. "How to mix per-flight and per-passenger based airport charges: The oligopoly case," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 483-500.
    • Handle: RePEc:eee:transb:v:104:y:2017:i:c:p:483-500
    DOI: 10.1016/j.trb.2017.04.005
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    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Lin, Ming Hsin, 2019. "Airport congestion and capacity when carriers are asymmetric," International Journal of Industrial Organization, Elsevier, vol. 62(C), pages 273-290.
    2. Núñez-Sánchez, Ramón & Hidalgo-Gallego, Soraya & Martínez-San Román, Valeriano, 2020. "Airport charges and marginal costs for Spanish airports before the process of partial privatization," Transport Policy, Elsevier, vol. 99(C), pages 240-250.
    3. (Kevin) Park, Hyosoo & Chang, Young-Tae & Zou, Bo, 2018. "Emission control under private port operator duopoly," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 114(C), pages 40-65.
    4. Lin, Ming Hsin, 2021. "Airport pricing and capacity: Schedule versus congestion delays," Research in Transportation Economics, Elsevier, vol. 90(C).
    5. Pierre M. Picard & Alessandro Tampieri & Xi Wan, 2022. "Are Deregulated Airports More Efficient?," Working Papers - Economics wp2022_18.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    6. Doi, Naoshi & Kono, Tatsuhito & Suzaki, Izumo, 2023. "Optimizing Multiple Airport Charges with Endogenous Airline Quality Considering the Marginal Cost of Public Funds," MPRA Paper 116176, University Library of Munich, Germany.
    7. Lin, Ming Hsin, 2022. "Pricing regime choices for international airports: A rationale for the non-discrimination principle," Economics of Transportation, Elsevier, vol. 31(C).
    8. Fu, Xiaowen & Lei, Zheng & Liu, Shaoxuan & Wang, Kun & Yan, Jia, 2020. "On-time performance policy in the Chinese aviation market - An innovation or disruption?," Transport Policy, Elsevier, vol. 95(C), pages 14-23.
    9. Balliauw, Matteo & Onghena, Evy, 2020. "Expanding airport capacity of cities under uncertainty: Strategies to mitigate congestion," Journal of Air Transport Management, Elsevier, vol. 84(C).
    10. Lin, Ming Hsin, 2020. "Congestion pricing and capacity for internationally interlinked airports," Transportation Research Part B: Methodological, Elsevier, vol. 142(C), pages 126-142.

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    More about this item

    Keywords

    Airports; Airlines; Slots; Schedule delays; Congestion;
    All these keywords.

    JEL classification:

    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General
    • H20 - Public Economics - - Taxation, Subsidies, and Revenue - - - General
    • H40 - Public Economics - - Publicly Provided Goods - - - General
    • L93 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Air Transportation
    • R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy

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