IDEAS home Printed from https://ideas.repec.org/a/eee/jaitra/v96y2021ics096969972100082x.html
   My bibliography  Save this article

Four decades of airline productivity and efficiency studies: A review and bibliometric analysis

Author

Listed:
  • Yakath Ali, Nurul Syuhadah
  • Yu, Chunyan
  • See, Kok Fong

Abstract

Airline productivity and efficiency have remained an area of tremendous interest among both academics and industry analysts since the Airline Deregulation Act of 1978 was enacted in the United States. This paper provides a bibliometric analysis of airline productivity and efficiency studies during the period from 1979 to 2020. The results show that the Journal of Air Transport Management, Transportation Research Part A, and Transportation Research Part E were the top three outlets preferred for publications in this area during the study period, and productive authors were likely to produce influential works. Research interest in airline productivity and efficiency has spread to encompass more diversified geographical regions over time, and new researchers from a broad range of fields continue to become interested in this field of research. Data envelopment analysis and stochastic frontier analysis are shown to be the most popular methods used by researchers, and studies are increasingly attempting to incorporate undesirable outputs, such as carbon emissions, flight delays and accidents, into the measurement and analysis of airline performance. The results from this study can provide guidance for future research issues and directions.

Suggested Citation

  • Yakath Ali, Nurul Syuhadah & Yu, Chunyan & See, Kok Fong, 2021. "Four decades of airline productivity and efficiency studies: A review and bibliometric analysis," Journal of Air Transport Management, Elsevier, vol. 96(C).
  • Handle: RePEc:eee:jaitra:v:96:y:2021:i:c:s096969972100082x
    DOI: 10.1016/j.jairtraman.2021.102099
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S096969972100082X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jairtraman.2021.102099?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Yan, Jia & Fu, Xiaowen & Oum, Tae Hoon & Wang, Kun, 2019. "Airline horizontal mergers and productivity: Empirical evidence from a quasi-natural experiment in China," International Journal of Industrial Organization, Elsevier, vol. 62(C), pages 358-376.
    2. Xiaowen Fu & Tae Hoon Oum, 2014. "Air Transport Liberalization and its Effects on Airline Competition and Traffic Growth – An Overview," Advances in Airline Economics, in: The Economics of International Airline Transport, volume 4, pages 11-44, Emerald Group Publishing Limited.
    3. Aria, Massimo & Cuccurullo, Corrado, 2017. "bibliometrix: An R-tool for comprehensive science mapping analysis," Journal of Informetrics, Elsevier, vol. 11(4), pages 959-975.
    4. Rich, Daniel P., 2004. "6. Productivity, Technical Change And Labor Relations In Transportation Industries," Research in Transportation Economics, Elsevier, vol. 10(1), pages 109-135, January.
    5. Sridhar P. Nerur & Abdul A. Rasheed & Vivek Natarajan, 2008. "The intellectual structure of the strategic management field: an author co‐citation analysis," Strategic Management Journal, Wiley Blackwell, vol. 29(3), pages 319-336, March.
    6. Tsionas, Mike G. & Chen, Zhongfei & Wanke, Peter, 2017. "A structural vector autoregressive model of technical efficiency and delays with an application to Chinese airlines," Transportation Research Part A: Policy and Practice, Elsevier, vol. 101(C), pages 1-10.
    7. Ludo Waltman & Nees Eck, 2013. "A smart local moving algorithm for large-scale modularity-based community detection," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 86(11), pages 1-14, November.
    8. Wang, Lu & Wei, Yi-Ming & Brown, Marilyn A., 2017. "Global transition to low-carbon electricity: A bibliometric analysis," Applied Energy, Elsevier, vol. 205(C), pages 57-68.
    9. Caves, Douglas W & Christensen, Laurits R & Tretheway, Michael W, 1983. "Productivity Performance of U.S. Trunk and Local Service Airlines in the Era of Deregulation," Economic Inquiry, Western Economic Association International, vol. 21(3), pages 312-324, July.
    10. 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.
    11. Tim Coelli & Sergio Perelman & Elliot Romano, 1999. "Accounting for Environmental Influences in Stochastic Frontier Models: With Application to International Airlines," Journal of Productivity Analysis, Springer, vol. 11(3), pages 251-273, June.
    12. Xiaowen Fu & Tae H. Oum, 2015. "Dominant Carrier Performance and International Liberalisation: The case of North East Asia," International Transport Forum Discussion Papers 2015/3, OECD Publishing.
    13. van Eck, N.J.P. & Waltman, L., 2009. "How to Normalize Co-Occurrence Data? An Analysis of Some Well-Known Similarity Measures," ERIM Report Series Research in Management ERS-2009-001-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    14. Chang, Yu-Hern & Yeh, Chung-Hsing, 2001. "Evaluating airline competitiveness using multiattribute decision making," Omega, Elsevier, vol. 29(5), pages 405-415, October.
    15. 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.
    16. Boon Liat Lee & Clevo Wilson & Carl A. Pasurka & Hidemichi Fujii & Shunsuke Managi, 2017. "Sources of airline productivity from carbon emissions: an analysis of operational performance under good and bad outputs," Journal of Productivity Analysis, Springer, vol. 47(3), pages 223-246, June.
    17. 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.
    18. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-374, October.
    19. Scheraga, Carl A., 2004. "Operational efficiency versus financial mobility in the global airline industry: a data envelopment and Tobit analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(5), pages 383-404, June.
    20. S C Ray, 2008. "The directional distance function and measurement of super-efficiency: an application to airlines data," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(6), pages 788-797, June.
    21. Feng, Cheng-Min & Wang, Rong-Tsu, 2000. "Performance evaluation for airlines including the consideration of financial ratios," Journal of Air Transport Management, Elsevier, vol. 6(3), pages 133-142.
    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. Philippe Barla & Sergio Perelman, 1989. "Technical Efficiency In Airlines Under Regulated And Deregulated Environments," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 60(1), pages 103-124, January.
    24. 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.
    25. Jati Sengupta, 1998. "Testing allocative efficiency by data envelopment analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 5(11), pages 689-692.
    26. Hyun-do Choi & Dong-hyun Oh, 2020. "The importance of research teams with diverse backgrounds: Research collaboration in the Journal of Productivity Analysis," Journal of Productivity Analysis, Springer, vol. 53(1), pages 5-19, February.
    27. Forsyth, Peter, 2001. "Total factor productivity in Australian domestic aviation," Transport Policy, Elsevier, vol. 8(3), pages 201-207, July.
    28. Greer, Mark R., 2008. "Nothing focuses the mind on productivity quite like the fear of liquidation: Changes in airline productivity in the United States, 2000-2004," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(2), pages 414-426, February.
    29. David Good & M. Nadiri & Lars-Hendrik Röller & Robin Sickles, 1993. "Efficiency and productivity growth comparisons of European and U.S. Air carriers: A first look at the data," Journal of Productivity Analysis, Springer, vol. 4(1), pages 115-125, June.
    30. Fahimnia, Behnam & Sarkis, Joseph & Davarzani, Hoda, 2015. "Green supply chain management: A review and bibliometric analysis," International Journal of Production Economics, Elsevier, vol. 162(C), pages 101-114.
    31. 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.
    32. Oum, Tae H. & Park, Jong-Hun & Kim, Kwangsoo & Yu, Chunyan, 2004. "The effect of horizontal alliances on firm productivity and profitability: evidence from the global airline industry," Journal of Business Research, Elsevier, vol. 57(8), pages 844-853, August.
    33. E.C.M. Noyons & H.F. Moed & M. Luwel, 1999. "Combining mapping and citation analysis for evaluative bibliometric purposes: A bibliometric study," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 50(2), pages 115-131.
    34. 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.
    35. A. George Assaf & Alexander Josiassen, 2011. "The operational performance of UK airlines: 2002‐2007," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 38(1), pages 5-16, January.
    36. Barbot, Cristina & Costa, Ã lvaro & Sochirca, Elena, 2008. "Airlines performance in the new market context: A comparative productivity and efficiency analysis," Journal of Air Transport Management, Elsevier, vol. 14(5), pages 270-274.
    37. Henry Small, 1973. "Co‐citation in the scientific literature: A new measure of the relationship between two documents," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 24(4), pages 265-269, July.
    38. Nees Jan van Eck & Ludo Waltman & Rommert Dekker & Jan van den Berg, 2010. "A comparison of two techniques for bibliometric mapping: Multidimensional scaling and VOS," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(12), pages 2405-2416, December.
    39. 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.
    40. Qiang Cui & Ye Li, 2019. "Investigating the impacts of the EU ETS emission rights on airline environmental efficiency via a Network Environmental SBM model," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 62(8), pages 1465-1488, July.
    41. Dixit, Aasheesh & Jakhar, Suresh Kumar, 2021. "Airport capacity management: A review and bibliometric analysis," Journal of Air Transport Management, Elsevier, vol. 91(C).
    42. 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.
    43. Encaoua, David, 1991. "Liberalizing European airlines : Cost and factor productivity evidence," International Journal of Industrial Organization, Elsevier, vol. 9(1), pages 109-124, March.
    44. Lee, Boon L. & Worthington, Andrew C., 2014. "Technical efficiency of mainstream airlines and low-cost carriers: New evidence using bootstrap data envelopment analysis truncated regression," Journal of Air Transport Management, Elsevier, vol. 38(C), pages 15-20.
    45. 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.
    46. Ginieis, Matías & Sánchez-Rebull, María-Victoria & Campa-Planas, Fernando, 2012. "The academic journal literature on air transport: Analysis using systematic literature review methodology," Journal of Air Transport Management, Elsevier, vol. 19(C), pages 31-35.
    47. Vining, Aidan R & Boardman, Anthony E, 1992. "Ownership versus Competition: Efficiency in Public Enterprise," Public Choice, Springer, vol. 73(2), pages 205-239, March.
    48. Tanrıverdi, Gökhan & Bakır, Mahmut & Merkert, Rico, 2020. "What can we learn from the JATM literature for the future of aviation post Covid-19? - A bibliometric and visualization analysis," Journal of Air Transport Management, Elsevier, vol. 89(C).
    49. Rosenow, Judith & Fricke, Hartmut, 2019. "Impact of multi-criteria optimized trajectories on European airline efficiency, safety and airspace demand," Journal of Air Transport Management, Elsevier, vol. 78(C), pages 133-143.
    50. Nees Jan van Eck & Ludo Waltman, 2009. "How to normalize cooccurrence data? An analysis of some well‐known similarity measures," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(8), pages 1635-1651, August.
    51. Kottas, Angelos T. & Madas, Michael A., 2018. "Comparative efficiency analysis of major international airlines using Data Envelopment Analysis: Exploring effects of alliance membership and other operational efficiency determinants," Journal of Air Transport Management, Elsevier, vol. 70(C), pages 1-17.
    52. Oum, Tae Hoon & Fu, Xiaowen & Yu, Chunyan, 2005. "New evidences on airline efficiency and yields: a comparative analysis of major North American air carriers and its implications," Transport Policy, Elsevier, vol. 12(2), pages 153-164, March.
    53. Barros, Carlos Pestana & Couto, Eduardo, 2013. "Productivity analysis of European airlines, 2000–2011," Journal of Air Transport Management, Elsevier, vol. 31(C), pages 11-13.
    54. Fu, Xiaowen & Oum, Tae Hoon & Chen, Ruowei & Lei, Zheng, 2015. "Dominant carrier performance and international liberalization – The case of Northeast Asia," Transport Policy, Elsevier, vol. 43(C), pages 61-75.
    55. Wang, Yuan & Lai, Nan & Zuo, Jian & Chen, Guanyi & Du, Huibin, 2016. "Characteristics and trends of research on waste-to-energy incineration: A bibliometric analysis, 1999–2015," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 95-104.
    56. 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.
    57. Chen, Zhongfei & Wanke, Peter & Antunes, Jorge Junio Moreira & Zhang, Ning, 2017. "Chinese airline efficiency under CO2 emissions and flight delays: A stochastic network DEA model," Energy Economics, Elsevier, vol. 68(C), pages 89-108.
    58. 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.
    59. Cornwell, Christopher & Schmidt, Peter & Sickles, Robin C., 1990. "Production frontiers with cross-sectional and time-series variation in efficiency levels," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 185-200.
    60. Mallikarjun, Sreekanth, 2015. "Efficiency of US airlines: A strategic operating model," Journal of Air Transport Management, Elsevier, vol. 43(C), pages 46-56.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yu, Ming-Miin & Nguyen, Minh-Anh Thi, 2023. "Productivity changes of Asia-Pacific airlines: A Malmquist productivity index approach for a two-stage dynamic system," Omega, Elsevier, vol. 115(C).
    2. Bakır, Mahmut & Özdemir, Emircan & Akan, Şahap & Atalık, Özlem, 2022. "A bibliometric analysis of airport service quality," Journal of Air Transport Management, Elsevier, vol. 104(C).
    3. Özköse, Hakan & Güney, Gül, 2023. "The effects of industry 4.0 on productivity: A scientific mapping study," Technology in Society, Elsevier, vol. 75(C).
    4. Thiago Victorino & Carlos Rosano Peña, 2023. "The Development of Efficiency Analysis in Transportation Systems: A Bibliometric and Systematic Review," Sustainability, MDPI, vol. 15(13), pages 1-32, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. See, Kok Fong & Rashid, Azwan Abdul & Yu, Ming-Miin, 2024. "Measuring the network capacity utilization, energy consumption and environmental inefficiency of global airlines," Energy Economics, Elsevier, vol. 132(C).
    2. 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.
    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. 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.
    5. Wanke, Peter & Barros, C.P., 2016. "Efficiency in Latin American airlines: A two-stage approach combining Virtual Frontier Dynamic DEA and Simplex Regression," Journal of Air Transport Management, Elsevier, vol. 54(C), pages 93-103.
    6. Kottas, Angelos T. & Madas, Michael A., 2018. "Comparative efficiency analysis of major international airlines using Data Envelopment Analysis: Exploring effects of alliance membership and other operational efficiency determinants," Journal of Air Transport Management, Elsevier, vol. 70(C), pages 1-17.
    7. Ye Li & Qiang Cui, 2017. "Airline energy efficiency measures using the Virtual Frontier Network RAM with weak disposability," Transportation Planning and Technology, Taylor & Francis Journals, vol. 40(4), pages 479-504, May.
    8. 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.
    9. Mallikarjun, Sreekanth, 2015. "Efficiency of US airlines: A strategic operating model," Journal of Air Transport Management, Elsevier, vol. 43(C), pages 46-56.
    10. Boon L Lee & Clevo Wilson & Carl A Pasurka, Jr, 2013. "The Good, the Bad and the Efficient: Productivity, efficiency and technical change in the Airline Industry, 2004:2008," School of Economics and Finance Discussion Papers and Working Papers Series 299, School of Economics and Finance, Queensland University of Technology.
    11. Yu, Ming-Miin & Chang, Yu-Chun & Chen, Li-Hsueh, 2016. "Measurement of airlines’ capacity utilization and cost gap: Evidence from low-cost carriers," Journal of Air Transport Management, Elsevier, vol. 53(C), pages 186-198.
    12. Chen, Zhongfei & Tzeremes, Panayiotis & Tzeremes, Nickolaos G., 2018. "Convergence in the Chinese airline industry: A Malmquist productivity analysis," Journal of Air Transport Management, Elsevier, vol. 73(C), pages 77-86.
    13. Heshmati, Almas & C. Kumbhakar, Subal & Kim, Jungsuk, 2016. "Persistent and Transient Efficiency of International Airlines," Working Paper Series in Economics and Institutions of Innovation 444, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    14. 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.
    15. Tsionas, Mike G. & Chen, Zhongfei & Wanke, Peter, 2017. "A structural vector autoregressive model of technical efficiency and delays with an application to Chinese airlines," Transportation Research Part A: Policy and Practice, Elsevier, vol. 101(C), pages 1-10.
    16. Huang, Fei & Zhou, Dequn & Hu, Jin-Li & Wang, Qunwei, 2020. "Integrated airline productivity performance evaluation with CO2 emissions and flight delays," Journal of Air Transport Management, Elsevier, vol. 84(C).
    17. 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.
    18. 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.
    19. Cui, Qiang & Li, Ye, 2017. "Airline efficiency measures under CNG2020 strategy: An application of a Dynamic By-production model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 130-143.
    20. Chen, Zhongfei & Wanke, Peter & Antunes, Jorge Junio Moreira & Zhang, Ning, 2017. "Chinese airline efficiency under CO2 emissions and flight delays: A stochastic network DEA model," Energy Economics, Elsevier, vol. 68(C), pages 89-108.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jaitra:v:96:y:2021:i:c:s096969972100082x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/journal-of-air-transport-management/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.