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Airline capacity decisions under supply-demand equilibrium of Australia’s domestic aviation market

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  • Mohammadian, Iman
  • Abareshi, Ahmad
  • Abbasi, Babak
  • Goh, Mark

Abstract

Australia is especially reliant on air transportation because of the geographical distribution of the urban centers across the country. This paper seeks to identify the antecedents of the capacity decisions of the airlines operating in Australian domestic aviation market. We examine the factors on both sides of the supply-demand equilibrium using monthly data of twenty-one major domestic routes linking eight major cities between January 2004 and December 2015. To investigate the relationship between flight demand and the variables of capacity decisions (flight frequency, aircraft size, load factor, and available seats), the pooled series cross-sectional data are analyzed using a two-stage least-squares method to model the supply-demand interaction. The results statistically differentiate the airlines’ strategies regarding capacity decisions for the short-haul, medium-haul, and long-haul routes. The results suggest that competition would lead to more flights, smaller aircraft size, lower load factors, and more available seats in all markets. Low-cost carriers play a key role in the short-haul market. Higher jet fuel prices scales up aircraft size on all flight routes. Notably, the socio-economic parameters of population and employment rates affect flight demand more strongly on the long-haul routes than other routes.

Suggested Citation

  • Mohammadian, Iman & Abareshi, Ahmad & Abbasi, Babak & Goh, Mark, 2019. "Airline capacity decisions under supply-demand equilibrium of Australia’s domestic aviation market," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 108-121.
  • Handle: RePEc:eee:transa:v:119:y:2019:i:c:p:108-121
    DOI: 10.1016/j.tra.2018.10.039
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    as
    1. Zhang, Yahua, 2015. "International arrivals to Australia: Determinants and the role of air transport policy," Journal of Air Transport Management, Elsevier, vol. 44, pages 21-24.
    2. Hsu, Chaug-Ing & Wen, Yuh-Horng, 2000. "Application of Grey theory and multiobjective programming towards airline network design," European Journal of Operational Research, Elsevier, vol. 127(1), pages 44-68, November.
    3. Whyte, Randall & Lohmann, Gui, 2015. "The carrier-within-a-carrier strategy: An analysis of Jetstar," Journal of Air Transport Management, Elsevier, vol. 42(C), pages 141-148.
    4. Oppermann, Martin & Cooper, Malcolm, 1999. "Outbound Travel and Quality of Life: The Effect of Airline Price Wars," Journal of Business Research, Elsevier, vol. 44(3), pages 179-188, March.
    5. Purnanandam, Amiyatosh, 2008. "Financial distress and corporate risk management: Theory and evidence," Journal of Financial Economics, Elsevier, vol. 87(3), pages 706-739, March.
    6. Abed, Seraj Y. & Ba-Fail, Abdullah O. & Jasimuddin, Sajjad M., 2001. "An econometric analysis of international air travel demand in Saudi Arabia," Journal of Air Transport Management, Elsevier, vol. 7(3), pages 143-148.
    7. Adler, Nicole, 2001. "Competition in a deregulated air transportation market," European Journal of Operational Research, Elsevier, vol. 129(2), pages 337-345, March.
    8. Stock, James H & Wright, Jonathan H & Yogo, Motohiro, 2002. "A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(4), pages 518-529, October.
    9. Hsu, Chaug-Ing & Wen, Yuh-Horng, 2003. "Determining flight frequencies on an airline network with demand-supply interactions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 39(6), pages 417-441, November.
    10. Fildes, Robert & Wei, Yingqi & Ismail, Suzilah, 2011. "Evaluating the forecasting performance of econometric models of air passenger traffic flows using multiple error measures," International Journal of Forecasting, Elsevier, vol. 27(3), pages 902-922.
    11. Ito, Harumi & Lee, Darin, 2005. "Assessing the impact of the September 11 terrorist attacks on U.S. airline demand," Journal of Economics and Business, Elsevier, vol. 57(1), pages 75-95.
    12. Dušan Teodorović & Emina Krčmar-Nožić, 1989. "Multicriteria Model to Determine Flight Frequencies on an Airline Network under Competitive Conditions," Transportation Science, INFORMS, vol. 23(1), pages 14-25, February.
    13. Gillen, David & Hazledine, Tim, 2015. "The economics and geography of regional airline services in six countries," Journal of Transport Geography, Elsevier, vol. 46(C), pages 129-136.
    14. Chi, Junwook & Baek, Jungho, 2013. "Dynamic relationship between air transport demand and economic growth in the United States: A new look," Transport Policy, Elsevier, vol. 29(C), pages 257-260.
    15. Severin Borenstein & Nancy L. Rose, 2014. "How Airline Markets Work…or Do They? Regulatory Reform in the Airline Industry," NBER Chapters, in: Economic Regulation and Its Reform: What Have We Learned?, pages 63-135, National Bureau of Economic Research, Inc.
    16. Pels, Eric & Njegovan, Nenad & Behrens, Christiaan, 2009. "Low-cost airlines and airport competition," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(2), pages 335-344, March.
    17. Nancy L. Rose, 2014. "Economic Regulation and Its Reform: What Have We Learned?," NBER Books, National Bureau of Economic Research, Inc, number rose05-1, March.
    18. Zhang, Yahua & Findlay, Christopher, 2014. "Air transport policy and its impacts on passenger traffic and tourist flows," Journal of Air Transport Management, Elsevier, vol. 34(C), pages 42-48.
    19. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
    20. Severin Borenstein, 2011. "On the Persistent Financial Losses of U.S. Airlines: A Preliminary Exploration," NBER Working Papers 16744, National Bureau of Economic Research, Inc.
    21. Swan, William M., 2002. "Airline demand distributions: passenger revenue management and spill," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 38(3-4), pages 253-263, May.
    22. Franke, Markus & John, Florian, 2011. "What comes next after recession? – Airline industry scenarios and potential end games," Journal of Air Transport Management, Elsevier, vol. 17(1), pages 19-26.
    23. Grosche, Tobias & Rothlauf, Franz & Heinzl, Armin, 2007. "Gravity models for airline passenger volume estimation," Journal of Air Transport Management, Elsevier, vol. 13(4), pages 175-183.
    24. Hensher, David A, 2002. "Determining passenger potential for a regional airline hub at Canberra International Airport," Journal of Air Transport Management, Elsevier, vol. 8(5), pages 301-311.
    25. Barrett, Sean D., 2004. "How do the demands for airport services differ between full-service carriers and low-cost carriers?," Journal of Air Transport Management, Elsevier, vol. 10(1), pages 33-39.
    26. Wei, Wenbin & Hansen, Mark, 2005. "Impact of aircraft size and seat availability on airlines' demand and market share in duopoly markets," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 41(4), pages 315-327, July.
    27. Pitfield, D.E. & Caves, R.E. & Quddus, M.A., 2010. "Airline strategies for aircraft size and airline frequency with changing demand and competition: A simultaneous-equations approach for traffic on the north Atlantic," Journal of Air Transport Management, Elsevier, vol. 16(3), pages 151-158.
    28. Saberi, Meead & Mahmassani, Hani S., 2013. "Modeling the airline hub location and optimal market problems with continuous approximation techniques," Journal of Transport Geography, Elsevier, vol. 30(C), pages 68-76.
    29. Wei, Wenbin & Hansen, Mark, 2006. "An aggregate demand model for air passenger traffic in the hub-and-spoke network," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(10), pages 841-851, December.
    30. Zou, Bo & Hansen, Mark, 2012. "Flight delays, capacity investment and social welfare under air transport supply-demand equilibrium," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(6), pages 965-980.
    31. Givoni, Moshe & Rietveld, Piet, 2010. "The environmental implications of airlines' choice of aircraft size," Journal of Air Transport Management, Elsevier, vol. 16(3), pages 159-167.
    32. Fridström, Lasse & Thune-Larsen, Harald, 1989. "An econometric air travel demand model for the entire conventional domestic network: The case of Norway," Transportation Research Part B: Methodological, Elsevier, vol. 23(3), pages 213-223, June.
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