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Determinants of financial distress in the European air transport industry: The moderating effect of being a flag-carrier

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  • Yin Shi
  • Xiaoni Li

Abstract

Due to the COVID-induced global collapse in demand for air travel, the year 2020 was a catastrophic one for the aviation industry. A dramatic drop in operating revenues along with continuing fixed expenses drained the cash reserves of airlines, with consequent risks of financial distress and, potentially, even of bankruptcy. Flag-carriers are a special group in the airline business—they are considered to have privileges in terms of the support given by governments while, on the other hand, are often viewed as having low efficiency and performance. This study aims to estimate for European airlines the interaction effect of being a flag-carrier (flagship) with the relationship between leverage, liquidity, profitability, and the degree of financial distress. Findings obtained from analysing 99 European airlines over a period of ten years, indicate that the negative influence of leverage on financial stability is higher in the case of flag carriers (flagship). The impact of liquidity and profitability on financial health is more positive for flagship than for non-flagship carriers. These findings are not limited to contributing to the existing literature, but also have significant practical implications for executives, managers, and policy makers in the European air transport sector.

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  • Yin Shi & Xiaoni Li, 2021. "Determinants of financial distress in the European air transport industry: The moderating effect of being a flag-carrier," PLOS ONE, Public Library of Science, vol. 16(11), pages 1-17, November.
    • Handle: RePEc:plo:pone00:0259149
    DOI: 10.1371/journal.pone.0259149
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    1. Ben-Zion, Uri & Shalit, Sol S, 1975. "Size, Leverage, and Dividend Record as Determinants of Equity Risk," Journal of Finance, American Finance Association, vol. 30(4), pages 1015-1026, September.
    2. Ehrlich, Isaac & Georges Gallais-Hamonno & Zhiqiang Liu & Randall Lutter, 1994. "Productivity Growth and Firm Ownership: An Analytical and Empirical Investigation," Journal of Political Economy, University of Chicago Press, vol. 102(5), pages 1006-1038, October.
    3. Moyer, R. Charles & Chatfield, Robert, 1983. "Market power and systematic risk," Journal of Economics and Business, Elsevier, vol. 35(1), pages 123-130.
    4. Balcaen, Sofie & Ooghe, Hubert, 2006. "35 years of studies on business failure: an overview of the classic statistical methodologies and their related problems," The British Accounting Review, Elsevier, vol. 38(1), pages 63-93.
    5. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    6. Soo Young Kim, 2018. "Predicting hospitality financial distress with ensemble models: the case of US hotels, restaurants, and amusement and recreation," Service Business, Springer;Pan-Pacific Business Association, vol. 12(3), pages 483-503, September.
    7. Moon, Joonho & Lee, Won Seok & Dattilo, John, 2015. "Determinants of the payout decision in the airline industry," Journal of Air Transport Management, Elsevier, vol. 42(C), pages 282-288.
    8. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure - Reply," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 123-127.
    9. Davalos, Sergio & Gritta, Richard D. & Chow, Garland, 1999. "The application of a neural network approach to predicting bankruptcy risks facing the major US air carriers: 1979–1996," Journal of Air Transport Management, Elsevier, vol. 5(2), pages 81-86.
    10. Sullivan, Timothy G, 1978. "The Cost of Capital and the Market Power of Firms," The Review of Economics and Statistics, MIT Press, vol. 60(2), pages 209-217, May.
    11. 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.
    12. Ravi Kumar, P. & Ravi, V., 2007. "Bankruptcy prediction in banks and firms via statistical and intelligent techniques - A review," European Journal of Operational Research, Elsevier, vol. 180(1), pages 1-28, July.
    13. Myers, Stewart C., 1984. "Capital structure puzzle," Working papers 1548-84., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    14. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 71-111.
    15. Zhang, Xuan & Ouyang, Ruolan & Liu, Ding & Xu, Liao, 2020. "Determinants of corporate default risk in China: The role of financial constraints," Economic Modelling, Elsevier, vol. 92(C), pages 87-98.
    16. Chow, Garland & Gritta, Richard D. & Leung, Edgar, 1991. "A Multiple Discriminant Analysis Approach to Gauging Air Carrier Bankruptcy Propensities: The Airscore Model," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 31(2).
    17. Myers, Stewart C, 1984. "The Capital Structure Puzzle," Journal of Finance, American Finance Association, vol. 39(3), pages 575-592, July.
    18. Stewart C. Myers, 1984. "Capital Structure Puzzle," NBER Working Papers 1393, National Bureau of Economic Research, Inc.
    19. repec:eme:ijlma0:ijlma-04-2018-0078 is not listed on IDEAS
    20. Laurie Garrow & Virginie Lurkin, 2021. "How COVID-19 is impacting and reshaping the airline industry," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 20(1), pages 3-9, February.
    Full references (including those not matched with items on IDEAS)

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