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Airline industry transformation: Does cost efficiency reflect business model convergence?

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  • Karanki, Fecri
  • Yu, Chunyan

Abstract

This study investigates the convergence of cost efficiency among Full-Service Airlines (FSAs) and Low-Cost Carriers (LCCs), focusing on whether alignment in operational strategies extends to both persistent and transient cost efficiency. While evolving economic pressures such as fluctuating fuel prices, labor costs, and market deregulation have encouraged convergence in airline business models, the effects on cost efficiency remain uncertain. Using data from U.S. airlines spanning 2000 to 2019 and applying a four-component stochastic frontier analysis, our findings indicate convergence in transient cost efficiency, reflecting short-term operational adjustments, but not in persistent cost efficiency, where FSAs consistently outperform LCCs. This structural advantage provides FSAs with greater long-term cost discipline and strategic flexibility. Analysis of inefficiency determinants further shows that network structure plays a dominant role in shaping persistent inefficiency, i.e., denser networks increase long-run inefficiency, whereas greater reliance on nonstop flights enhances structural efficiency. On the transient side, capacity utilization significantly reduces short-run inefficiency, while higher ancillary revenue share is associated with increased short-run inefficiency. These findings highlight that convergence across business models is limited to short-run operational responses; meaningful convergence in long-run cost efficiency would require fundamental and sustained changes to network architecture and business model design.

Suggested Citation

  • Karanki, Fecri & Yu, Chunyan, 2026. "Airline industry transformation: Does cost efficiency reflect business model convergence?," Journal of Air Transport Management, Elsevier, vol. 133(C).
  • Handle: RePEc:eee:jaitra:v:133:y:2026:i:c:s0969699726000104
    DOI: 10.1016/j.jairtraman.2026.102974
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    1. Roberto Colombi & Subal Kumbhakar & Gianmaria Martini & Giorgio Vittadini, 2014. "Closed-skew normality in stochastic frontiers with individual effects and long/short-run efficiency," Journal of Productivity Analysis, Springer, vol. 42(2), pages 123-136, October.
    2. Daft, Jost & Albers, Sascha, 2015. "An empirical analysis of airline business model convergence," Journal of Air Transport Management, Elsevier, vol. 46(C), pages 3-11.
    3. Daft, Jost & Albers, Sascha, 2013. "A conceptual framework for measuring airline business model convergence," Journal of Air Transport Management, Elsevier, vol. 28(C), pages 47-54.
    4. Kevin E. Henrickson & Wesley W. Wilson, 2016. "The Convergence of Low-Cost and Legacy Airline Operations," Advances in Airline Economics, in: Airline Efficiency, volume 5, pages 355-375, Emerald Group Publishing Limited.
    5. Steven Berry & Michael Carnall & Pablo T. Spiller, 1996. "Airline Hubs: Costs, Markups and the Implications of Customer Heterogeneity," NBER Working Papers 5561, National Bureau of Economic Research, Inc.
    6. John Bitzan & Theodore Keeler, 2014. "The evolution of U.S. rail freight pricing in the post-deregulation era: revenues versus marginal costs for five commodity types," Transportation, Springer, vol. 41(2), pages 305-324, March.
    7. Moir, Loren & Lohmann, Gui, 2018. "A quantitative means of comparing competitive advantage among airlines with heterogeneous business models: Analysis of U.S. airlines," Journal of Air Transport Management, Elsevier, vol. 69(C), pages 72-82.
    8. Roucolle, Chantal & Seregina, Tatiana & Urdanoz, Miguel, 2020. "Measuring the development of airline networks: Comprehensive indicators," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 303-324.
    9. Magdalina, Ana & Bouzaima, Martin, 2021. "An empirical investigation of European airline business models: Classification and hybridisation," Journal of Air Transport Management, Elsevier, vol. 93(C).
    10. Massimo Filippini & William Greene, 2016. "Persistent and transient productive inefficiency: a maximum simulated likelihood approach," Journal of Productivity Analysis, Springer, vol. 45(2), pages 187-196, April.
    11. Lohmann, Gui & Koo, Tay T.R., 2013. "The airline business model spectrum," Journal of Air Transport Management, Elsevier, vol. 31(C), pages 7-9.
    12. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    13. Christopher F Baum & Teresa Linz, 2009. "Evaluating concavity for production and cost functions," Stata Journal, StataCorp LLC, vol. 9(1), pages 161-165, March.
    14. Federico Ciliberto & Emily E. Cook & Jonathan W. Williams, 2019. "Network Structure and Consolidation in the U.S. Airline Industry, 1990–2015," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 54(1), pages 3-36, February.
    15. Jia Yan & Xiaowen Fu & Tae Hoon Oum & Kun Wang, 2016. "The Effects of Mergers on Airline Performance and Social Welfare," Advances in Airline Economics, in: Airline Efficiency, volume 5, pages 131-159, Emerald Group Publishing Limited.
    16. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    17. Gillen David, 2006. "Airline Business Models and Networks: Regulation, Competition and Evolution in Aviation Markets," Review of Network Economics, De Gruyter, vol. 5(4), pages 1-20, December.
    18. Oum, Tae Hoon & Yu, Chunyan, 1998. "Cost competitiveness of major airlines: an international comparison," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(6), pages 407-422, August.
    19. Martini, Gianmaria & Scotti, Davide & Viola, Domenico & Vittadini, Giorgio, 2020. "Persistent and temporary inefficiency in airport cost function: An application to Italy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 999-1019.
    20. Mason, Keith J. & Morrison, William G., 2008. "Towards a means of consistently comparing airline business models with an application to the [`]low cost' airline sector," Research in Transportation Economics, Elsevier, vol. 24(1), pages 75-84.
    21. Tsoukalas, Gerassimos & Belobaba, Peter & Swelbar, William, 2008. "Cost convergence in the US airline industry: An analysis of unit costs 1995–2006," Journal of Air Transport Management, Elsevier, vol. 14(4), pages 179-187.
    22. Subal Kumbhakar & Gudbrand Lien & J. Hardaker, 2014. "Technical efficiency in competing panel data models: a study of Norwegian grain farming," Journal of Productivity Analysis, Springer, vol. 41(2), pages 321-337, April.
    23. Bitzan, John & Peoples, James, 2016. "A comparative analysis of cost change for low-cost, full-service, and other carriers in the US airline industry," Research in Transportation Economics, Elsevier, vol. 56(C), pages 25-41.
    24. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "Multilateral Comparisons of Output, Input, and Productivity Using Superlative Index Numbers," Economic Journal, Royal Economic Society, vol. 92(365), pages 73-86, March.
    25. repec:eme:aiae11:s2212-160920160000005006 is not listed on IDEAS
    26. Kumbhakar, Subal C & Ghosh, Soumendra & McGuckin, J Thomas, 1991. "A Generalized Production Frontier Approach for Estimating Determinants of Inefficiency in U.S. Dairy Farms," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(3), pages 279-286, July.
    27. Yu, Hang & Zhang, Yahua & Zhang, Anming & Wang, Kun & Cui, Qiang, 2019. "A comparative study of airline efficiency in China and India: A dynamic network DEA approach," Research in Transportation Economics, Elsevier, vol. 76(C).
    28. Klophaus, Richard & Yu, Chunyan, 2023. "Short-haul airline services in Europe and North America - A cross-business model and cross-continental analysis," Journal of Air Transport Management, Elsevier, vol. 109(C).
    29. Jan K. Brueckner & Yimin Zhang, 2001. "A Model of Scheduling in Airline Networks: How a Hub-and-Spoke System Affects Flight Frequency, Fares and Welfare," Journal of Transport Economics and Policy, University of Bath, vol. 35(2), pages 195-222, May.
    30. Caudill, Steven B & Ford, Jon M & Gropper, Daniel M, 1995. "Frontier Estimation and Firm-Specific Inefficiency Measures in the Presence of Heteroscedasticity," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(1), pages 105-111, January.
    31. Hung-Jen Wang, 2002. "Heteroscedasticity and Non-Monotonic Efficiency Effects of a Stochastic Frontier Model," Journal of Productivity Analysis, Springer, vol. 18(3), pages 241-253, November.
    32. Chunyan Yu, 2016. "Airline Productivity and Efficiency: Concept, Measurement, and Applications," Advances in Airline Economics, in: Airline Efficiency, volume 5, pages 11-53, Emerald Group Publishing Limited.
    33. repec:eme:aiae11:s2212-160920160000005002 is not listed on IDEAS
    34. Azadian, Farshid & Vasigh, Bijan, 2019. "The blurring lines between full-service network carriers and low-cost carriers: A financial perspective on business model convergence," Transport Policy, Elsevier, vol. 75(C), pages 19-26.
    35. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    36. repec:eme:aiae11:s2212-160920160000005013 is not listed on IDEAS
    37. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    38. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
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