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Developments in air transport: implications on investment decisions, profitability and survival of Asian airlines

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  • Chin, Anthony T.H
  • Tay, John H

Abstract

The investment decisions and profitability of airlines encompasses elements such as air traffic forecasting, the cycles of orders and deliveries, profit cycles, airline growth and survivability in Asia. Regression analysis showed that air traffic growth rates are positively associated with GDP growth rates. The study of the cycles of aircraft orders and deliveries reveal that Asian carriers usually place orders for new aircraft a year after making good profits and these aircraft are delivered after 2–3 years. The delivery of aircraft results in over-capacity, and the decrease in load factors depresses airline profits. Economic cycles are amplified in the industry by capacity investments. The Markov Model was adapted to test the relationship between airline growth and profitability and to predict the survival probabilities of Asian carriers. The results of the study indicate that an airline's growth and profitability are positively related. The survival probabilities of airlines increase as asset size and profits increase. The key implications for Asian airlines are to improve their forecasting techniques, capacity flexibility and responsiveness to the changing environment.

Suggested Citation

  • Chin, Anthony T.H & Tay, John H, 2001. "Developments in air transport: implications on investment decisions, profitability and survival of Asian airlines," Journal of Air Transport Management, Elsevier, vol. 7(5), pages 319-330.
  • Handle: RePEc:eee:jaitra:v:7:y:2001:i:5:p:319-330
    DOI: 10.1016/S0969-6997(01)00026-6
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    References listed on IDEAS

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    Cited by:

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    2. Lohmann, Gui & Vianna, Camila, 2016. "Air route suspension: The role of stakeholder engagement and aviation and non-aviation factors," Journal of Air Transport Management, Elsevier, vol. 53(C), pages 199-210.
    3. Hanson, Daniel & Toru Delibasi, Tuba & Gatti, Matteo & Cohen, Shamai, 2022. "How do changes in economic activity affect air passenger traffic? The use of state-dependent income elasticities to improve aviation forecasts," Journal of Air Transport Management, Elsevier, vol. 98(C).
    4. Low, Joyce M.W. & Lee, Byung Kwon, 2014. "Effects of internal resources on airline competitiveness," Journal of Air Transport Management, Elsevier, vol. 36(C), pages 23-32.
    5. Tascón, Diana C. & Díaz Olariaga, Oscar, 2021. "Air traffic forecast and its impact on runway capacity. A System Dynamics approach," Journal of Air Transport Management, Elsevier, vol. 90(C).
    6. Gudmundsson, S.V. & Cattaneo, M. & Redondi, R., 2021. "Forecasting temporal world recovery in air transport markets in the presence of large economic shocks: The case of COVID-19," Journal of Air Transport Management, Elsevier, vol. 91(C).
    7. Renold, Manuel & Vollenweider, Janik & Mijović, Nemanja & Kuljanin, Jovana & Kalić, Milica, 2023. "Methodological framework for a deeper understanding of airline profit cycles in the context of disruptive exogenous impacts," Journal of Air Transport Management, Elsevier, vol. 106(C).
    8. Profillidis, V. & Botzoris, G., 2015. "Air passenger transport and economic activity," Journal of Air Transport Management, Elsevier, vol. 49(C), pages 23-27.
    9. Marco Alderighi & Alessandro Cento, 2003. "European Airlines Conduct after September 11th," ERSA conference papers ersa03p431, European Regional Science Association.
    10. Xuanyu Yue & Julie Byrne, 2021. "Linking the Determinants of Air Passenger Flows and Aviation Related Carbon Emissions: A European Study," Sustainability, MDPI, vol. 13(14), pages 1-16, July.
    11. Dantas, Tiago Mendes & Cyrino Oliveira, Fernando Luiz & Varela Repolho, Hugo Miguel, 2017. "Air transportation demand forecast through Bagging Holt Winters methods," Journal of Air Transport Management, Elsevier, vol. 59(C), pages 116-123.
    12. Hu, Qiwei & Zhang, Anming, 2015. "Real option analysis of aircraft acquisition: A case study," Journal of Air Transport Management, Elsevier, vol. 46(C), pages 19-29.
    13. Jin, Feng & Li, Yongwu & Sun, Shaolong & Li, Hongtao, 2020. "Forecasting air passenger demand with a new hybrid ensemble approach," Journal of Air Transport Management, Elsevier, vol. 83(C).
    14. Wanke, Peter & Pestana Barros, Carlos & Chen, Zhongfei, 2015. "An analysis of Asian airlines efficiency with two-stage TOPSIS and MCMC generalized linear mixed models," International Journal of Production Economics, Elsevier, vol. 169(C), pages 110-126.
    15. Maung, Yun Shwe Yee & Douglas, Ian & Tan, David, 2022. "Identifying the drivers of profitable airline growth," Transport Policy, Elsevier, vol. 115(C), pages 275-285.
    16. Jenatabadi, Hashem Salarzadeh & Ismail, Noor Azina, 2014. "Application of structural equation modelling for estimating airline performance," Journal of Air Transport Management, Elsevier, vol. 40(C), pages 25-33.
    17. Pires, Heloisa Márcia & Fernandes, Elton, 2012. "Malmquist financial efficiency analysis for airlines," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(5), pages 1049-1055.

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