Relationship between Airline Ticket Price, Demand and Business Model: A Worldwide Analysis

Selçuk Kayhan; Kasım Kiracı; Mehmet Yaşar

doi:10.52791/aksarayiibd.1234849

TR EN

Havayolu Bilet Fiyatı, Talep ve İş Modeli İlişkisi: Dünya Geneli Analizi

Öz

Bu çalışmanın amacı, havayollarının yolcu başına ortalama bilet fiyatı ile yolcu sayısı arasındaki ilişkiyi ortaya koymaktır. Çalışmada 2013-2022 dönemi için havayollarının yolcu başına ortalama bilet fiyatı ve yolcu sayısı verileri panel veri analizi ile incelenmiştir. Tüm havayolları örneğinde bir panel regresyon modeli uygulanmıştır. Bu nedenle, analiz tüm havayolları örnekleminde 4194 gözlem kullanarak gerçekleştirilmiştir. Ayrıca çalışmada havayolları iş modellerine göre farklı gruplara ayrılmıştır. Bu kapsamda havayolları Geleneksel taşıyıcılar, Düşük maliyetli taşıyıcılar, Charter taşıyıcılar ve Bölgesel taşıyıcılar olarak 4 farklı grupta sınıflandırılmıştır. Çalışmanın bulguları, yolcu başına ortalama fiyattaki değişime karşı yolcu sayısında bir tepki olduğunu göstermektedir. Analiz sonuçları, bilet fiyatı ile havayolu talebi arasında anlamlı ve negatif bir ilişki olduğunu ancak iş modeline göre esneklik farklılıkları olduğunu ortaya koymuştur.

Anahtar Kelimeler

Kaynakça

Abdella, J. A., Zaki, N., & Shuaib, K. (2018, November). Automatic detection of airline ticket price and demand: A review. In 2018 International Conference on Innovations in Information Technology (IIT) (pp. 169-174). IEEE.
Baltagi, B. H. (2005). Econometric Analysis of Panel Data (Cilt 3th Ed.). England: Chichester: John Wiley& Sons.
Baltagi B.H. (2021) Introduction, In Econometric Analysis of Panel Data, Springer, Cham. V. 4. No. 1, pp. 1–14.
Beyzatlar, M. A., Karacal, M., & Yetkiner, H. (2014). Granger-causality between transportation and GDP: A panel data approach. Transportation Research Part A: Policy and Practice, 63, 43-55.
Bilotkach, V. (2015). Are airports engines of economic development? A dynamic panel data approach. Urban Studies, 52(9), 1577-1593.
Bilotkach, V., & Lakew, P. A. (2014). On sources of market power in the airline industry: Panel data evidence from the US airports. Transportation Research Part A: Policy and Practice, 59, 288-305.
Brons, M., Pels, E., Nijkamp, P., & Rietveld, P. (2002). Price elasticities of demand for passenger air travel: a meta-analysis. Journal of Air Transport Management, 8(3), 165-175.
Burger, B., & Fuchs, M. (2005). Dynamic pricing—A future airline business model. Journal of Revenue and Pricing Management, 4(1), 39-53.

Chen, X., Mao, S., Lv, S., & Fang, Z. (2022). A study on the non-linear impact of digital technology innovation on carbon emissions in the transportation industry. International Journal of Environmental Research and Public Health, 19(19), 12432.
Chen, Z. (2017). Impacts of high-speed rail on domestic air transportation in China. Journal of Transport Geography, 62, 184-196.
Chrisnawan, L., Onibala, M., Octora, Y., Setiawan, E. B., & Anthony, D. (2019). The Effect of Price And Perceived Quality on Ticket Purchase Intention at Lion Air Airline. Advances in Transportation and Logistics Research, 2, 187-195.
Doganis, R. (2005). Flying off course: The economics of international airlines. Routledge.
Duran, A., & Gungor, M. S. (2017). Aviation fuel hedging and firm value analysis using dynamic panel data methodology: Evidence from the US major passenger airlines. International Journal of Business and Economic Sciences Applied Research (IJBESAR), 10(3), 67-72.
Etzioni, O., Tuchinda, R., Knoblock, C. A., & Yates, A. (2003, August). To buy or not to buy: mining airfare data to minimize ticket purchase price. In Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining (pp. 119-128).
Gao, J., Le, M., & Fang, Y. (2022). Dynamic air ticket pricing using reinforcement learning method. RAIRO-Operations Research, 56(4), 2475-2493.
Greenee, William. H. (2003), Econometric Analysis, 5th Ed., New York: Prentice Hall. Gujarati, D. N. (2003). Basic Econometrics, 4. Baskı, McGraw-Hill Comp., New York.
Hill, T. D., Davis, A. P., Roos, J. M., & French, M. T. (2020). Limitations of fixed-effects models for panel data. Sociological Perspectives, 63(3), 357-369.
Hsiao, C. (1985). Benefits and limitations of panel data. Econometric Reviews, 4(1), 121-174.
Hsiao, C. (2003), Analysis of Panel Data, Second Edition, Cambridge University Press.
Hsiao, C. (2007). Panel data analysis—advantages and challenges. Test, 16(1), 1-22.
Hsiao, C. (2022). Analysis of panel data (No. 64). Cambridge University Press. Jallat, F., & Ancarani, F. (2008). Yield management, dynamic pricing and CRM in telecommunications. Journal of Services Marketing, 22(6), 465-478
Jin, L., Mott, J., Yang, C., & Lu, C. (2022). A panel study of outsourced maintenance ımpact on major u.s. passenger airlines' profitability (1995-2019). Journal of Aviation/Aerospace Education & Research, 31(2). https://doi.org/10.15394/jaaer.2022.1917
Kim, J. Y., Natter, M., & Spann, M. (2009). Pay what you want: A new participative pricing mechanism. Journal of Marketing, 73(1), 44-58.
Kiracı, K. (2021). Covıd-19, financial risk and the airline industry. Mehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 8(3), 1557-1581.
Kiracı, K. (2021). Determinants of dividend payout policies: evidence from airline industry. Journal of Aviation, 5(2), 210-218.
Li, H., Li, J., Zhao, X., & Kuang, X. (2022). The morphological structure and influence factors analysis of China's domestic civil aviation freight transport network. Transport Policy, 125, 207-217.
Li, Y., Yang, B., & Cui, Q. (2019). The effects of high-speed rail on air passenger transport in China. Applied Economics Letters, 26(9), 745-749.
Mathur, S. (2020). Pricing of airline tickets on India's busiest aviation route (New Delhi-Mumbai). International Journal of Indian Culture and Business Management, 20(1), 93-108.
Martínez, M. E. A., Navarro, J. L. A., & Trinquecoste, J. F. (2017). The effect of destination type and travel period on the behavior of the price of airline tickets. Research in Transportation Economics, 62, 37-43.
McConnachie, D., Wollersheim, C., & Hansman, R. J. (2013). The impact of fuel price on airline fuel efficiency and operations. In 2013 Aviation Technology, Integration, and Operations Conference (p. 4291).
Medina-Muñoz, D. R., Medina-Muñoz, R. D., & Suárez-Cabrera, M. Á. (2018). Determining important attributes for assessing the attractiveness of airlines. Journal of Air Transport Management, 70, 45-56.
Monroe, K.B. (2003), Pricing. Making Profitable Decisions, McGraw-Hill, New York, NY.
Moschovou, T. P., & Giannopoulos, A. G. (2021). Road freight transportation in a period of economic instability: A panel data study in four EU Mediterranean countries. Research in Transportation Business & Management, 41, 100622.
Narangajavana, Y., Garrigos-Simon, F. J., García, J. S., & Forgas-Coll, S. (2014). Prices, prices and prices: A study in the airline sector. Tourism Management, 41, 28-42.
Rey, B., Myro, R. L., & Galera, A. (2011). Effect of low-cost airlines on tourism in Spain. A dynamic panel data model. Journal of Air Transport Management, 17(3), 163-167.
Shen, C., & Yahya, Y. (2021). The impact of service quality and price on passengers' loyalty towards low-cost airlines: The Southeast Asia perspective. Journal of Air Transport Management, 91, 101966.
Surovitskikh, S. (2012). The relationship between South African aviation policy in Africa and air passenger traffic flows. 1st International Aviation Management Conference, IAMC – 2012, Dubai, UAE, 18 – 20 November 2012.
Szabo, S., Mako, S., Tobisova, A., Hanak, P., & Pilat, M. (2018). Effect of the load factor on the ticket price. Transport Problems, 13(3), 41-49.
Takebayashi, M., & Ishikura, T. (2013). Impact of low cost carriers and multiple airport system. Asian Transport Studies, 2(3), 309-322.
Tellis, G. J. (1986). Beyond the many faces of price: an integration of pricing strategies. Journal of Marketing, 50(4), 146-160.
Thakare, V. P., Murraya, A. S., Gawade, R. B., Sawarkar, M. M., Shende, T. K., & Badole, U. K. (2022). Flight ticket price predictor using python. Advancement and Research in Instrumentation Engineering, 5(1).
Tsui,K.W.H.(2017). Does a low-cost carrier lead the domestic tourism demand and growth of New Zealand? Tourism Management, 60, 390–403. https://doi.org/10.1016/j.tourman. 2016.10.013
Ventura, R. V., Fernandes, E., Fernandes, V. A., Cabo, M., Fadel, A. C., & Caixeta, R. (2022). Consumer behaviour analysis based on income and price elasticities: The case of the air transportation in Brazil. Case Studies on Transport Policy, 10(2), 1262-1272.
Ventura, R. V., Cabo, M., Caixeta, R., Fernandes, E., & Aprigliano Fernandes, V. (2020). Air transportation income and price elasticities in remote areas: The case of the Brazilian Amazon region. Sustainability, 12(15), 6039.
Yaşar, M. (2019). Düşük maliyetli havayolu işletmelerinde bilet fiyatlarına etki eden rekabetçi unsurların değerlendirilmesi. İşletme Bilimi Dergisi, 7(3), 595-610.
Whalen, W. T. (2007). A panel data analysis of code-sharing, antitrust immunity, and open skies treaties in international aviation markets. Review of Industrial Organization, 30(1), 39-61.

Ayrıntılar

Birincil Dil

İngilizce

Konular

İşletme

Bölüm

Araştırma Makalesi

Yazarlar

Selçuk Kayhan
0000-0001-9291-4528
Türkiye

Kasım Kiracı
0000-0002-2061-171X
Türkiye

Mehmet Yaşar ^*
0000-0001-7237-4069
Türkiye

Yayımlanma Tarihi

29 Eylül 2023

Gönderilme Tarihi

15 Ocak 2023

Kabul Tarihi

10 Ağustos 2023

Yayımlandığı Sayı

Yıl 1970 Cilt: 15 Sayı: 3

DOI

https://doi.org/10.52791/aksarayiibd.1234849

IZ

https://izlik.org/JA84JK33NW

Kaynak Göster

RIS / Bibtex

APA

Kayhan, S., Kiracı, K., & Yaşar, M. (2023). Relationship between Airline Ticket Price, Demand and Business Model: A Worldwide Analysis. Aksaray Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 15(3), 211-218. https://doi.org/10.52791/aksarayiibd.1234849

Cited By

Price dynamics in the Russian airline market

Lomonosov Economics Journal

https://doi.org/10.55959/MSU0130-0105-6-60-3-7

Havayolu Bilet Fiyatı, Talep ve İş Modeli İlişkisi: Dünya Geneli Analizi

Havayolu Bilet Fiyatı, Talep ve İş Modeli İlişkisi: Dünya Geneli Analizi

Öz

Anahtar Kelimeler