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The Determinants of Airline Alliances

Author

Listed:
  • Alberto A. Gaggero
  • David Bartolini

Abstract

In this paper we conduct an empirical investigation of the determinants of airline alliances. The results of the analysis show that well-established airlines with large passenger volume are more likely to participate in an alliance, and are essential for its sustainability. In line with these findings, older airlines have a higher probability of being part of an alliance. Moreover, the decision to join or form an alliance is fostered by the aggregate market share of the alliances. Interestingly, our analysis suggests that the airline's main decision is not to choose a specific alliance, but whether to join or form an alliance at all. © 2012 LSE and the University of Bath

Suggested Citation

  • Alberto A. Gaggero & David Bartolini, 2012. "The Determinants of Airline Alliances," Journal of Transport Economics and Policy, University of Bath, vol. 46(3), pages 399-414, September.
    • Handle: RePEc:tpe:jtecpo:v:46:y:2012:i:3:p:399-414
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    Cited by:

    1. Alderighi, Marco & Gaggero, Alberto A. & Piga, Claudio A., 2015. "The effect of code-share agreements on the temporal profile of airline fares," Transportation Research Part A: Policy and Practice, Elsevier, vol. 79(C), pages 42-54.
    2. Czerny, Achim I. & Jost, Peter-J. & Lang, Hao & Mantin, Benny, 2021. "Carrier collaboration with endogenous networks: Or, the limits of what carrier collaboration can achieve under antitrust immunity," Journal of Air Transport Management, Elsevier, vol. 94(C).
    3. Alderighi, Marco & Gaggero, Alberto A., 2018. "Flight cancellations and airline alliances: Empirical evidence from Europe," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 116(C), pages 90-101.
    4. Thanh Ngo & Kan Wai Hong Tsui, 2022. "Estimating the confidence intervals for DEA efficiency scores of Asia-Pacific airlines," Operational Research, Springer, vol. 22(4), pages 3411-3434, September.
    5. Alderighi, Marco & Gaggero, Alberto A., 2014. "The effects of global alliances on international flight frequencies: Some evidence from Italy," Journal of Air Transport Management, Elsevier, vol. 39(C), pages 30-33.
    6. Volodymyr Bilotkach, 2019. "Airline Partnerships, Antitrust Immunity, and Joint Ventures: What We Know and What I Think We Would Like to Know," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 54(1), pages 37-60, February.
    7. See, Kok Fong & Rashid, Azwan Abdul & Yu, Ming-Miin, 2024. "Measuring the network capacity utilization, energy consumption and environmental inefficiency of global airlines," Energy Economics, Elsevier, vol. 132(C).
    8. Marco Alderighi, 2013. "Air accessibility and the export of Italian manufacture in Europe: Evidence at regional level," ERSA conference papers ersa13p1304, European Regional Science Association.
    9. Button, Kenneth & Porta, Flavio & Scotti, Davide, 2020. "The role of strategic airline alliances in Africa," MPRA Paper 108265, University Library of Munich, Germany.
    10. Lu, Jin-Long & Yang, Chih-Wen, 2022. "Good or bad? Passenger feelings regarding code-share alliances among airlines," Journal of Air Transport Management, Elsevier, vol. 103(C).
    11. Castiglioni, Marco & Gallego, à ngeles & Galán, José Luis, 2018. "The virtualization of the airline industry: A strategic process," Journal of Air Transport Management, Elsevier, vol. 67(C), pages 134-145.
    12. Meichsner, Nadine A. & O'Connell, John F. & Warnock-Smith, David, 2018. "The future for African air transport: Learning from Ethiopian Airlines," Journal of Transport Geography, Elsevier, vol. 71(C), pages 182-197.
    13. Gaggero, Alberto A. & Piazza, Giovanni, 2021. "Multilayer networks and route entry into the airline industry: Evidence from the U.S. domestic market," Research in Transportation Economics, Elsevier, vol. 90(C).

    More about this item

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • L10 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - General
    • L93 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Air Transportation

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