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U.S. airline mergers’ performance and productivity change

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  • Khezrimotlagh, Dariush
  • Kaffash, Sepideh
  • Zhu, Joe

Abstract

The U.S. airline industry has experienced waves of entries and mergers since 1978. The three waves of mergers in the U.S. airline industry happened in the 1980s, 1990s, and late 2000s. We study the performance of U.S. airlines and the influence of recent mergers on the efficiency of airlines. A two-stage radial network data envelopment analysis is proposed to estimate overall efficiencies, stage efficiencies and productivity change for the U.S. airlines. The overall efficiency of U.S. airlines is decomposed as the product of production efficiency and consumption efficiency. Results show the overall efficiencies of merged airlines improved after the merger. The improvement is more significant for network carriers compared to low-cost carriers, and network carriers have a higher consumption efficiency relative to low-cost carriers. The Malmquist indices indicate that merged airlines are influenced by both technical change and production change. The efficiency changes of airlines improved in the post-merger years.

Suggested Citation

  • Khezrimotlagh, Dariush & Kaffash, Sepideh & Zhu, Joe, 2022. "U.S. airline mergers’ performance and productivity change," Journal of Air Transport Management, Elsevier, vol. 102(C).
  • Handle: RePEc:eee:jaitra:v:102:y:2022:i:c:s0969699722000473
    DOI: 10.1016/j.jairtraman.2022.102226
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    as
    1. Mahmoudi, Reza & Emrouznejad, Ali & Shetab-Boushehri, Seyyed-Nader & Hejazi, Seyed Reza, 2020. "The origins, development and future directions of data envelopment analysis approach in transportation systems," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    2. Huubinh B. Le, 2016. "An Empirical Analysis of the Price and Output Effects of the Southwest/Airtran Merger," Competition and Regulation in Network Industries, , vol. 17(3-4), pages 226-240, December.
    3. Seufert, Juergen Heinz & Arjomandi, Amir & Dakpo, K. Hervé, 2017. "Evaluating airline operational performance: A Luenberger-Hicks-Moorsteen productivity indicator," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 104(C), pages 52-68.
    4. Choi, Kanghwa, 2017. "Multi-period efficiency and productivity changes in US domestic airlines," Journal of Air Transport Management, Elsevier, vol. 59(C), pages 18-25.
    5. Khezrimotlagh, Dariush & Cook, Wade D. & Zhu, Joe, 2020. "A nonparametric framework to detect outliers in estimating production frontiers," European Journal of Operational Research, Elsevier, vol. 286(1), pages 375-388.
    6. Emrouznejad, Ali & Yang, Guo-liang, 2018. "A survey and analysis of the first 40 years of scholarly literature in DEA: 1978–2016," Socio-Economic Planning Sciences, Elsevier, vol. 61(C), pages 4-8.
    7. Yu, Ming-Miin & Lin, Erwin T.J., 2008. "Efficiency and effectiveness in railway performance using a multi-activity network DEA model," Omega, Elsevier, vol. 36(6), pages 1005-1017, December.
    8. Dariush Khezrimotlagh & Yao Chen, 2018. "Data Envelopment Analysis," International Series in Operations Research & Management Science, in: Decision Making and Performance Evaluation Using Data Envelopment Analysis, chapter 0, pages 217-234, Springer.
    9. Tone, Kaoru & Tsutsui, Miki, 2009. "Network DEA: A slacks-based measure approach," European Journal of Operational Research, Elsevier, vol. 197(1), pages 243-252, August.
    10. Heydari, Chiman & Omrani, Hashem & Taghizadeh, Rahim, 2020. "A fully fuzzy network DEA-Range Adjusted Measure model for evaluating airlines efficiency: A case of Iran," Journal of Air Transport Management, Elsevier, vol. 89(C).
    11. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    12. Kao, Chiang & Hwang, Shiuh-Nan, 2008. "Efficiency decomposition in two-stage data envelopment analysis: An application to non-life insurance companies in Taiwan," European Journal of Operational Research, Elsevier, vol. 185(1), pages 418-429, February.
    13. Yao Chen & Wade D. Cook & Chiang Kao & Joe Zhu, 2014. "Network DEA Pitfalls: Divisional Efficiency and Frontier Projection," International Series in Operations Research & Management Science, in: Wade D. Cook & Joe Zhu (ed.), Data Envelopment Analysis, edition 127, chapter 0, pages 31-54, Springer.
    14. Carlton, Dennis & Israel, Mark & MacSwain, Ian & Orlov, Eugene, 2019. "Are legacy airline mergers pro- or anti-competitive? Evidence from recent U.S. airline mergers," International Journal of Industrial Organization, Elsevier, vol. 62(C), pages 58-95.
    15. Gil, Ricard & Kim, Myongjin, 2021. "Does competition increase quality? Evidence from the US airline industry," International Journal of Industrial Organization, Elsevier, vol. 77(C).
    16. Borenstein, Severin, 1990. "Airline Mergers, Airport Dominance, and Market Power," American Economic Review, American Economic Association, vol. 80(2), pages 400-404, May.
    17. Duygun, Meryem & Prior, Diego & Shaban, Mohamed & Tortosa-Ausina, Emili, 2016. "Disentangling the European airlines efficiency puzzle: A network data envelopment analysis approach," Omega, Elsevier, vol. 60(C), pages 2-14.
    18. Joe Zhu, 2014. "Data Envelopment Analysis," International Series in Operations Research & Management Science, in: Quantitative Models for Performance Evaluation and Benchmarking, edition 3, chapter 1, pages 1-9, Springer.
    19. Manuela, Wilfred S. & Rhoades, Dawna L. & Curtis, Tamilla, 2016. "The U.S. Airways Group: A post-merger analysis," Journal of Air Transport Management, Elsevier, vol. 56(PB), pages 138-150.
    20. Manuela Jr., Wilfred S. & Rhoades, Dawna L. & Curtis, Tamilla, 2019. "Market power at the Seattle-Tacoma International Airport: The case of Alaska Airlines," Transport Policy, Elsevier, vol. 76(C), pages 90-99.
    21. Richard, Oliver, 2003. "Flight frequency and mergers in airline markets," International Journal of Industrial Organization, Elsevier, vol. 21(6), pages 907-922, June.
    22. Carbaugh Robert J & Ghosh Koushik, 2011. "United-Continental Merger," Journal of Industrial Organization Education, De Gruyter, vol. 5(1), pages 1-12, March.
    23. Kao, Chiang, 2014. "Network data envelopment analysis: A review," European Journal of Operational Research, Elsevier, vol. 239(1), pages 1-16.
    24. Peters, Craig, 2006. "Evaluating the Performance of Merger Simulation: Evidence from the U.S. Airline Industry," Journal of Law and Economics, University of Chicago Press, vol. 49(2), pages 627-649, October.
    25. Saeedi, Hamid & Behdani, Behzad & Wiegmans, Bart & Zuidwijk, Rob, 2019. "Assessing the technical efficiency of intermodal freight transport chains using a modified network DEA approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 126(C), pages 66-86.
    26. Mudde, Paul A. & Sopariwala, Parvez R., 2014. "U.S. Airways merger: A strategic variance analysis of changes in post-merger performance," Journal of Accounting Education, Elsevier, vol. 32(3), pages 305-322.
    27. Cavaignac, Laurent & Petiot, Romain, 2017. "A quarter century of Data Envelopment Analysis applied to the transport sector: A bibliometric analysis," Socio-Economic Planning Sciences, Elsevier, vol. 57(C), pages 84-96.
    28. Li, Ye & Wang, Yan-zhang & Cui, Qiang, 2015. "Evaluating airline efficiency: An application of Virtual Frontier Network SBM," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 81(C), pages 1-17.
    29. Tavassoli, Mohammad & Faramarzi, Gholam Reza & Farzipoor Saen, Reza, 2014. "Efficiency and effectiveness in airline performance using a SBM-NDEA model in the presence of shared input," Journal of Air Transport Management, Elsevier, vol. 34(C), pages 146-153.
    30. Pastor, Jesus T. & Lovell, C.A. Knox, 2005. "A global Malmquist productivity index," Economics Letters, Elsevier, vol. 88(2), pages 266-271, August.
    31. Kim, E Han & Singal, Vijay, 1993. "Mergers and Market Power: Evidence from the Airline Industry," American Economic Review, American Economic Association, vol. 83(3), pages 549-569, June.
    32. Dariush Khezrimotlagh & Yao Chen, 2018. "Decision Making and Performance Evaluation Using Data Envelopment Analysis," International Series in Operations Research and Management Science, Springer, number 978-3-319-76345-3, December.
    33. Adler, Nicole & Golany, Boaz, 2001. "Evaluation of deregulated airline networks using data envelopment analysis combined with principal component analysis with an application to Western Europe," European Journal of Operational Research, Elsevier, vol. 132(2), pages 260-273, July.
    34. Vaze, Vikrant & Luo, Tian & Harder, Reed, 2017. "Impacts of airline mergers on passenger welfare," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 101(C), pages 130-154.
    35. Clougherty, Joseph A., 2002. "US domestic airline mergers: the neglected international determinants," International Journal of Industrial Organization, Elsevier, vol. 20(4), pages 557-576, April.
    36. Sonia Aviles-Sacoto & Wade D Cook & Raha Imanirad & Joe Zhu, 2015. "Two-stage network DEA: when intermediate measures can be treated as outputs from the second stage," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 66(11), pages 1868-1877, November.
    37. Hong, Seock-Jin & Randall, Wesley & Han, Keunsoo & Malhan, Amit Sundeep, 2018. "Estimation viability of dedicated freighter aircraft of combination carriers: A data envelopment and principal component analysis," International Journal of Production Economics, Elsevier, vol. 202(C), pages 12-20.
    38. Merkert, Rico & Morrell, Peter S., 2012. "Mergers and acquisitions in aviation – Management and economic perspectives on the size of airlines," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(4), pages 853-862.
    39. Chiang Kao, 2014. "Efficiency Decomposition in Network Data Envelopment Analysis," International Series in Operations Research & Management Science, in: Wade D. Cook & Joe Zhu (ed.), Data Envelopment Analysis, edition 127, chapter 0, pages 55-77, Springer.
    40. Ming-Miin Yu, 2012. "Performance assessment of transport services with the ERM-NDEA model: evidence from a domestic airline in Taiwan," Transportation Planning and Technology, Taylor & Francis Journals, vol. 35(7), pages 697-714, July.
    41. Gudmundsson, Sveinn Vidar & Merkert, Rico & Redondi, Renato, 2020. "Cost structure effects of horizontal airline mergers and acquisitions," Transport Policy, Elsevier, vol. 99(C), pages 136-144.
    42. Li, Ye & Wang, Yan-zhang & Cui, Qiang, 2016. "Has airline efficiency affected by the inclusion of aviation into European Union Emission Trading Scheme? Evidences from 22 airlines during 2008–2012," Energy, Elsevier, vol. 96(C), pages 8-22.
    43. Somnath Das, 2019. "Effect of Merger on Market Price and Product Quality: American and US Airways," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 55(3), pages 339-374, November.
    44. Sebastián Lozano & Ester Gutiérrez, 2014. "A slacks-based network DEA efficiency analysis of European airlines," Transportation Planning and Technology, Taylor & Francis Journals, vol. 37(7), pages 623-637, October.
    45. Gudmundsson, Sveinn Vidar & Merkert, Rico & Redondi, Renato, 2017. "Cost functions and determinants of unit cost effects in horizontal airline M&As," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 444-454.
    46. Charnes, Abraham & Gallegos, Armando & Li, Hongyu, 1996. "Robustly efficient parametric frontiers via Multiplicative DEA for domestic and international operations of the Latin American airline industry," European Journal of Operational Research, Elsevier, vol. 88(3), pages 525-536, February.
    47. 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).
    48. Lim, Sungmook & Zhu, Joe, 2019. "Primal-dual correspondence and frontier projections in two-stage network DEA models," Omega, Elsevier, vol. 83(C), pages 236-248.
    49. Barros, Carlos P. & Liang, Qi Bin & Peypoch, Nicolas, 2013. "The technical efficiency of US Airlines," Transportation Research Part A: Policy and Practice, Elsevier, vol. 50(C), pages 139-148.
    50. Mallikarjun, Sreekanth, 2015. "Efficiency of US airlines: A strategic operating model," Journal of Air Transport Management, Elsevier, vol. 43(C), pages 46-56.
    51. Lu, Wen-Min & Wang, Wei-Kang & Hung, Shiu-Wan & Lu, En-Tzu, 2012. "The effects of corporate governance on airline performance: Production and marketing efficiency perspectives," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(2), pages 529-544.
    52. Capobianco, Heloisa Márcia Pires & Fernandes, Elton, 2004. "Capital structure in the world airline industry," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(6), pages 421-434, July.
    53. Madjid Tavana & Kaveh Khalili-Damghani & Francisco J. Santos Arteaga & Arousha Hashemi, 2020. "A Malmquist productivity index for network production systems in the energy sector," Annals of Operations Research, Springer, vol. 284(1), pages 415-445, January.
    54. Yu, Ming-Miin & Chen, Li-Hsueh & Chiang, Hui, 2017. "The effects of alliances and size on airlines’ dynamic operational performance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 197-214.
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