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Journals / İstatistik ve Uygulamalı Bilimler Dergisi / 2023 / Sayı: 8

Assessing The Impact of Airlines' Strategic Decisions in Fleet Planning on Profitability by Implementing Panel Data Analysis

Cem Ersöz(ÖZYEĞİN ÜNİVERSİTESİ, HAVACILIK VE UZAY BİLİMLERİ FAKÜLTESİ)0000-0001-8010-5205
Hüseyin Önder Aldemir(Özyeğin Üniversitesi)0000-0002-8083-0447
Pages
15–21
Publication Date
2023-12-31
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Variables determining airline profits change according to the airline specifications and are not time-dependent.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study investigates the impact on airline profitability of different types of aircraft that airlines choose as a strategic decision for their flight operations.
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Key Findings & Data:Dataset were gathered from MIT Airline Data Project for ten airlines operating in the USA for five-year period between 2015-2019.
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Conclusion & Impact:Variables determining airline profits change according to the airline specifications and are not time-dependent.
🔬Design:Lab & Field Experiment
📍Scope:2015-2019 Verileri
⚙️Variables:Havayolu · karlılık · uçak tipi

Abstract

This study investigates the impact on airline profitability of different types of aircraft that airlines choose as a strategic decision for their flight operations. Dataset were gathered from MIT Airline Data Project for ten airlines operating in the USA for five-year period between 2015-2019. Three different panel data models- Pooled, Fixed Effects, and Random Effects- were employed to examine the effects of aircraft types (small narrow-body, large narrow-body, and wide-body) on profitability. Plm package of R language was used to create panel data models. As a conclusion, Fixed Effects Panel Data Model proved to be the most successful in explaining profit variation in all dataset. Variables determining airline profits change according to the airline specifications and are not time-dependent.

Özet

Bu çalışma, havayolu şirketlerinin uçuş operasyonları için stratejik bir karar olarak seçtikleri farklı uçak tiplerinin havayolu karlılığı üzerindeki etkisini araştırmaktadır. Veri setleri, 2015-2019 yılları arasındaki beş yıllık dönem için ABD'de faaliyet gösteren on havayolu şirketi için MIT Havayolu Veri Projesi'nden toplanmıştır. Uçak tiplerinin (küçük dar gövdeli, büyük dar gövdeli ve geniş gövdeli) kârlılık üzerindeki etkilerini incelemek için Havuzlanmış, Sabit Etkiler ve Rassal Etkiler olmak üzere üç farklı panel veri modeli kullanılmıştır. Panel veri modellerini oluşturmak için R dilinin plm paketi kullanılmıştır. Sonuç olarak, Sabit Etkiler Panel Veri Modeli, tüm veri setlerinde kâr değişkenliğini açıklamada en başarılı model olarak ortaya çıkmıştır. Havayolu karlarını belirleyen değişkenler havayolu özelliklerine göre değişmektedir ve zamana bağlı değildir.

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Cite This Article

Ersöz, C., Aldemir, H. Ö. (2023). Assessing The Impact of Airlines' Strategic Decisions in Fleet Planning on Profitability by Implementing Panel Data Analysis. İstatistik ve Uygulamalı Bilimler Dergisi, Sayı: 8, 15–21. https://doi.org/10.52693/jsas.1393069

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References (16)

  1. F. Yiğit and İ. Canöz, “Avrupa’daki̇ Hava yolu pay Senetleri̇ni̇n covid-19 pandemi̇si̇ne tepki̇si̇: Olay çalişmasi metodolojisi,” İstanbul Ticaret Üniversitesi Sosyal Bilimler Dergisi, vol. 19, no. 39, pp. 1309–1326, 2020. doi:10.46928/iticusbe.831057
  2. Semeriahina, M., Hryhorak, M., & Bugayko, D. (2021). The Analysis of the Impact of Business Process Outsourcing on the Profitability of Commercial Airline in the Conditions of a Global Pandemic. Logistics and Transport, 49(1), 31-45.
  3. Massachusetts Institute of Technology (MIT) (2020). Airline Data Project- Aircraft and Related Retrieved from https://web.mit.edu/airlinedata/www/Aircraft&Related.html
  4. Antoniou, A. (1992). The Factors Determining the Profitability of International Airlines: Some Econometric Results. Managerial and Decision Economics, 13, 503-514.
  5. Parast, M. M., & Fini E. H. (2010). The effect of productivity and quality on profitability in US airline industry-An empirical investigation. Managing Service Quality, 20(5), 458-474.
  6. Xu X., McGrory, C.A., Wang, Y.G., & Wu, J. (2021). Influential factors on Chinese airlines’ profitability and forecasting methods. Journal of Air Transport Management, 91, 101969.
  7. Kiracı, K. (2020). The Factors Determining the Profitability of Low Cost Airlines. Romanian Statistical Review, 1, 41-53.
  8. O'Connell, J.F., Avellana, R.M., Warnock-Smith, D., & Efthymiou, M. (2020). Evaluating drivers of profitability for airlines in Latin America: A case study of Copa Airlines. Journal of Air Transport Management, 84, 101727.
  9. Merkert, R., & Pearson, J. (2015). A Non-parametric Efficiency Measure Incorporating Perceived Airline Service Levels and Profitability. Journal of Transport Economics and Policy, 49(2), 261–275.
  10. Kalemba, N., & Campa-Planas, F. (2017). The Quality – Profitability Link in the US Airline Business: A Study Based on the Airline Quality Rating Index. Procedia Engineering, 187, 308-316.
  11. Kalemba, N., & Campa-Planas, F. (2018). The quality effect on the profitability of US airline companies. Tourism Economics, 24(3), 251-269.
  12. Douglas, I., & Tan, D. (2017). Global airline alliances and profitability: A difference-in-difference analysis. Transportation Research Part A, 103, 432–443.
  13. Zou, L., & Chen, X. (2017). The effect of code-sharing alliances on airline profitability. Journal of Air Transport Management, 58, 50-57.
  14. Scotti, D., & Volta, N. (2017). Profitability change in the global airline industry. Transportation Research Part E, 102, 1-12.
  15. Huang, C.C., Hsu, C.C., & Collar, E. (2021). An Evaluation of the Operational Performance and Profitability of the U.S. Airlines. International Journal of Global Business and Competitiveness, 16, 73–85.
  16. Jin, L., Mott, J., Yang, C., & Lu, C. (2022). A Panel Study of Outsourced Maintenance Impact on Major U.S. Passenger Airlines' Profitability (1995-2019). Journal of Aviation/Aerospace Education & Research, 31(2), 1-32.