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Airline efficiency measures using a Dynamic Epsilon-Based Measure model

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  • Cui, Qiang
  • Li, Ye

Abstract

In this paper, we focus on measuring airline dynamic efficiency. Number of Employees and Aviation Kerosene are chosen as the inputs. Revenue Tonne Kilometers, Revenue Passenger Kilometers and Total Revenue are the outputs. Capital Stock is selected as the dynamic factor. A new model, Dynamic Epsilon-Based Measure (DEBM) model, is proposed to evaluate the dynamic efficiencies of 19 airlines from 2009 to 2014. The main findings are: 1. Scandinavian, Emirates and Cathay Pacific are the benchmarking airlines among the 19 airlines. 2. The highest efficiency change index happens in 2010, which has close relationships with the financial crisis of 2008. 3. The output-oriented DEBM and non-oriented DEBM do well in reflecting the efficiency differences, while the input-oriented DEBM and output-oriented DEBM have good performance in mirroring yearly efficiency change.

Suggested Citation

  • Cui, Qiang & Li, Ye, 2017. "Airline efficiency measures using a Dynamic Epsilon-Based Measure model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 121-134.
  • Handle: RePEc:eee:transa:v:100:y:2017:i:c:p:121-134
    DOI: 10.1016/j.tra.2017.04.013
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    1. Greer, Mark, 2009. "Is it the labor unions' fault? Dissecting the causes of the impaired technical efficiencies of the legacy carriers in the United States," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(9-10), pages 779-789, November.
    2. 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.
    3. 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.
    4. Tone, Kaoru & Tsutsui, Miki, 2010. "An epsilon-based measure of efficiency in DEA - A third pole of technical efficiency," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1554-1563, December.
    5. 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.
    6. 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.
    7. Bhadra, Dipasis, 2009. "Race to the bottom or swimming upstream: Performance analysis of US airlines," Journal of Air Transport Management, Elsevier, vol. 15(5), pages 227-235.
    8. Cui, Qiang & Li, Ye & Yu, Chen-lu & Wei, Yi-Ming, 2016. "Evaluating energy efficiency for airlines: An application of Virtual Frontier Dynamic Slacks Based Measure," Energy, Elsevier, vol. 113(C), pages 1231-1240.
    9. Tone, Kaoru & Tsutsui, Miki, 2010. "Dynamic DEA: A slacks-based measure approach," Omega, Elsevier, vol. 38(3-4), pages 145-156, June.
    10. 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.
    11. 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.
    12. Cui, Qiang & Kuang, Hai-bo & Wu, Chun-you & Li, Ye, 2013. "Dynamic formation mechanism of airport competitiveness: The case of China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 47(C), pages 10-18.
    13. Barros, Carlos Pestana & Peypoch, Nicolas, 2009. "An evaluation of European airlines' operational performance," International Journal of Production Economics, Elsevier, vol. 122(2), pages 525-533, December.
    14. Kaoru Tone & Miki Tsutsui, 2010. "An epsilon-based measure of efficiency in DEA revisited -A third pole of technical efficiency," GRIPS Discussion Papers 09-21, National Graduate Institute for Policy Studies.
    15. Cui, Qiang & Li, Ye, 2015. "Evaluating energy efficiency for airlines: An application of VFB-DEA," Journal of Air Transport Management, Elsevier, vol. 44, pages 34-41.
    16. Pratham, 2015. "Annual Status of Education Report (Rural) 2014," Working Papers id:6398, eSocialSciences.
    17. Ila Alam & Robin Sickles, 1998. "The Relationship Between Stock Market Returns and Technical Efficiency Innovations: Evidence from the US Airline Industry," Journal of Productivity Analysis, Springer, vol. 9(1), pages 35-51, January.
    18. Arjomandi, Amir & Seufert, Juergen Heinz, 2014. "An evaluation of the world's major airlines' technical and environmental performance," Economic Modelling, Elsevier, vol. 41(C), pages 133-144.
    19. Chiou, Yu-Chiun & Chen, Yen-Heng, 2006. "Route-based performance evaluation of Taiwanese domestic airlines using data envelopment analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 42(2), pages 116-127, March.
    20. Ray, Subhash C & Mukherjee, Kankana, 1996. "Decomposition of the Fisher Ideal Index of Productivity: A Non-parametric Dual Analysis of US Airlines Data," Economic Journal, Royal Economic Society, vol. 106(439), pages 1659-1678, November.
    21. Wang, Wei-Kang & Lu, Wen-Min & Tsai, Chia-Jen, 2011. "The relationship between airline performance and corporate governance amongst US Listed companies," Journal of Air Transport Management, Elsevier, vol. 17(2), pages 148-152.
    22. Good, David H. & Roller, Lars-Hendrik & Sickles, Robin C., 1995. "Airline efficiency differences between Europe and the US: Implications for the pace of EC integration and domestic regulation," European Journal of Operational Research, Elsevier, vol. 80(3), pages 508-518, February.
    23. Merkert, Rico & Hensher, David A., 2011. "The impact of strategic management and fleet planning on airline efficiency - A random effects Tobit model based on DEA efficiency scores," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(7), pages 686-695, August.
    24. Alam, Ila M Semenick & Sickles, Robin C, 2000. "Time Series Analysis of Deregulatory Dynamics and Technical Efficiency: The Case of the U.S. Airline Industry," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 41(1), pages 203-218, February.
    25. Ouellette, Pierre & Petit, Patrick & Tessier-Parent, Louis-Philippe & Vigeant, Stéphane, 2010. "Introducing regulation in the measurement of efficiency, with an application to the Canadian air carriers industry," European Journal of Operational Research, Elsevier, vol. 200(1), pages 216-226, January.
    26. Veronique Distexhe & Sergio Perelman, 1994. "Technical Efficiency and Productivity Growth in an Era of Deregulation: the Case of Airlines," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 130(IV), pages 669-689, December.
    27. Cui, Qiang & Kuang, Hai-bo & Wu, Chun-you & Li, Ye, 2014. "The changing trend and influencing factors of energy efficiency: The case of nine countries," Energy, Elsevier, vol. 64(C), pages 1026-1034.
    28. Mallikarjun, Sreekanth, 2015. "Efficiency of US airlines: A strategic operating model," Journal of Air Transport Management, Elsevier, vol. 43(C), pages 46-56.
    29. 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.
    30. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    31. Robin Sickles & David Good & Lullit Getachew, 2002. "Specification of Distance Functions Using Semi- and Nonparametric Methods with an Application to the Dynamic Performance of Eastern and Western European Air Carriers," Journal of Productivity Analysis, Springer, vol. 17(1), pages 133-155, January.
    32. Cui, Qiang & Wei, Yi-Ming & Li, Ye, 2016. "Exploring the impacts of the EU ETS emission limits on airline performance via the Dynamic Environmental DEA approach," Applied Energy, Elsevier, vol. 183(C), pages 984-994.
    33. Xu, Xin & Cui, Qiang, 2017. "Evaluating airline energy efficiency: An integrated approach with Network Epsilon-based Measure and Network Slacks-based Measure," Energy, Elsevier, vol. 122(C), pages 274-286.
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