IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v57y2023i4d10.1007_s11135-022-01457-y.html
   My bibliography  Save this article

Dynamic effecting factors of air travel demand: an econometric analysis

Author

Listed:
  • Tuğba Dayioglu

    (Nisantasi University)

  • Serdar Alnipak

    (Nisantasi University)

Abstract

Civil aviation sector is of great importance for all countries. Besides, demand estimation of air passengers is crucial for every part of air industry. It is used for marketing, determining policies, pricing, making decisions on investments and more. This paper presents an econometric model to estimate air travel demand for 10 major European region countries which have high number of airline passengers by using panel regression model. Countries were determined based on data availability of the variables. Authors tried to determine the effects of independent variables as “purchasing power parities”, “net direct investment”, “population”, “GDP per capita”, “consumer prices (transport)”, “exchange rates”, “commercial aircraft fleet”, “number of tourism enterprises” and “urban population rate” on demand. The model is estimated using panel data for 10 countries over a period from 2009 to 2018. The results also suggest that the countries’ GDP values effect the air passenger demand. Besides countries should make investments in more aircraft fleet size to promote their civil aviation sector which is of great importance for the European economy.

Suggested Citation

  • Tuğba Dayioglu & Serdar Alnipak, 2023. "Dynamic effecting factors of air travel demand: an econometric analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3713-3727, August.
    • Handle: RePEc:spr:qualqt:v:57:y:2023:i:4:d:10.1007_s11135-022-01457-y
    DOI: 10.1007/s11135-022-01457-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11135-022-01457-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11135-022-01457-y?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. Kağan Albayrak, Muhammed Bilge & Özcan, İsmail Çağrı & Can, Raif & Dobruszkes, Frédéric, 2020. "The determinants of air passenger traffic at Turkish airports," Journal of Air Transport Management, Elsevier, vol. 86(C).
    2. Tsui, Wai Hong Kan & Ozer Balli, Hatice & Gilbey, Andrew & Gow, Hamish, 2014. "Forecasting of Hong Kong airport's passenger throughput," Tourism Management, Elsevier, vol. 42(C), pages 62-76.
    3. Christophe Hurlin, 2004. "Testing Granger causality in Heterogeneous panel data models with fixed coefficients," Post-Print halshs-00257395, HAL.
    4. Wei, Wenbin & Hansen, Mark, 2006. "An aggregate demand model for air passenger traffic in the hub-and-spoke network," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(10), pages 841-851, December.
    5. Valdes, Victor, 2015. "Determinants of air travel demand in Middle Income Countries," Journal of Air Transport Management, Elsevier, vol. 42(C), pages 75-84.
    6. Boonekamp, Thijs & Zuidberg, Joost & Burghouwt, Guillaume, 2018. "Determinants of air travel demand: The role of low-cost carriers, ethnic links and aviation-dependent employment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 112(C), pages 18-28.
    7. Chang, Li-Yen, 2012. "International air passenger flows between pairs of APEC countries: A non-parametric regression tree approach," Journal of Air Transport Management, Elsevier, vol. 20(C), pages 4-6.
    8. Samagaio, António & Wolters, Mark, 2010. "Comparative analysis of government forecasts for the Lisbon Airport," Journal of Air Transport Management, Elsevier, vol. 16(4), pages 213-217.
    9. Duval, David Timothy & Schiff, Aaron, 2011. "Effect of air services availability on international visitors to New Zealand," Journal of Air Transport Management, Elsevier, vol. 17(3), pages 175-180.
    Full references (including those not matched with items on IDEAS)

    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. Wang, Sen & Gao, Yi, 2021. "A literature review and citation analyses of air travel demand studies published between 2010 and 2020," Journal of Air Transport Management, Elsevier, vol. 97(C).
    2. Frédéric Dobruszkes & Christian Vandermotten, 2022. "Do scale and the type of markets matter? Revisiting the determinants of passenger air services worldwide," ULB Institutional Repository 2013/336304, ULB -- Universite Libre de Bruxelles.
    3. Gunter, Ulrich & Zekan, Bozana, 2021. "Forecasting air passenger numbers with a GVAR model," Annals of Tourism Research, Elsevier, vol. 89(C).
    4. Dobruszkes, Frédéric & Vandermotten, Christian, 2022. "Do scale and the type of markets matter? Revisiting the determinants of passenger air services worldwide," Journal of Air Transport Management, Elsevier, vol. 99(C).
    5. Tirtha, Sudipta Dey & Bhowmik, Tanmoy & Eluru, Naveen, 2023. "Understanding the factors affecting airport level demand (arrivals and departures) using a novel modeling approach," Journal of Air Transport Management, Elsevier, vol. 106(C).
    6. Kağan Albayrak, Muhammed Bilge & Özcan, İsmail Çağrı & Can, Raif & Dobruszkes, Frédéric, 2020. "The determinants of air passenger traffic at Turkish airports," Journal of Air Transport Management, Elsevier, vol. 86(C).
    7. Sun, Shaolong & Lu, Hongxu & Tsui, Kwok-Leung & Wang, Shouyang, 2019. "Nonlinear vector auto-regression neural network for forecasting air passenger flow," Journal of Air Transport Management, Elsevier, vol. 78(C), pages 54-62.
    8. Iyer, K. Chandrashekhar & Thomas, Nivea, 2021. "An econometric analysis of domestic air traffic demand in regional airports: Evidence from India," Journal of Air Transport Management, Elsevier, vol. 93(C).
    9. Dey Tirtha, Sudipta & Bhowmik, Tanmoy & Eluru, Naveen, 2022. "An airport level framework for examining the impact of COVID-19 on airline demand," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 169-181.
    10. Balli, Hatice Ozer & Tsui, Wai Hong Kan & Balli, Faruk, 2019. "Modelling the volatility of international visitor arrivals to New Zealand," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 204-214.
    11. Jin, Feng & Li, Yongwu & Sun, Shaolong & Li, Hongtao, 2020. "Forecasting air passenger demand with a new hybrid ensemble approach," Journal of Air Transport Management, Elsevier, vol. 83(C).
    12. Hakim, Md Mahbubul & Merkert, Rico, 2019. "Econometric evidence on the determinants of air transport in South Asian countries," Transport Policy, Elsevier, vol. 83(C), pages 120-126.
    13. Oliveira, Bruno F. & Oliveira, Alessandro V.M., 2022. "An empirical analysis of the determinants of network construction for Azul Airlines," Journal of Air Transport Management, Elsevier, vol. 101(C).
    14. Hanson, Daniel & Toru Delibasi, Tuba & Gatti, Matteo & Cohen, Shamai, 2022. "How do changes in economic activity affect air passenger traffic? The use of state-dependent income elasticities to improve aviation forecasts," Journal of Air Transport Management, Elsevier, vol. 98(C).
    15. Vergori, Anna Serena & Arima, Serena, 2022. "Low-cost carriers and tourism in the Italian regions: A segmented regression model," Annals of Tourism Research, Elsevier, vol. 97(C).
    16. Defilippi, Enzo & Gutierrez Andrade, Jesús, 2021. "More flights seats, more tourists?: evidence from Perú ," Working Papers 21-01, Centro de Investigación, Universidad del Pacífico.
    17. Tascón, Diana C. & Díaz Olariaga, Oscar, 2021. "Air traffic forecast and its impact on runway capacity. A System Dynamics approach," Journal of Air Transport Management, Elsevier, vol. 90(C).
    18. Li, Yongling & Wang, Jiaoe & Huang, Jie & Chen, Zhuo, 2022. "Impact of COVID-19 on domestic air transportation in China," Transport Policy, Elsevier, vol. 122(C), pages 95-103.
    19. Aydın, Umut & Ülengin, Burç, 2022. "Analyzing air cargo flows of Turkish domestic routes: A comparative analysis of gravity models," Journal of Air Transport Management, Elsevier, vol. 102(C).
    20. de Paula, R.O. & Silva, L.R. & Vilela, M.L. & Cruz, R.O.M., 2019. "Forecasting passenger movement for Brazilian airports network based on the segregation of primary and secondary demand applied to Brazilian civil aviation policies planning," Transport Policy, Elsevier, vol. 77(C), pages 23-29.

    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:spr:qualqt:v:57:y:2023:i:4:d:10.1007_s11135-022-01457-y. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.