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Interregional air passenger flows determinants in Russia

Author

Listed:
  • Kseniia Rostislav

    (Russian Presidential Academy of National Economy and Public Administration, Moscow, Russian Federation;)

  • Dina Salimova

    (Gaidar Institute for Economic Policy, Moscow, Russian Federation;)

  • Yuri Ponomarev

    (Russian Presidential Academy of National Economy and Public Administration, Moscow, Russian Federation;)

Abstract

The article analyzes the key determinants of the spatial distribution and volumes of air passenger traffic between pairs of Russian regions in 2009–2018 on the largest passenger traffic routes. The intensity of air travel between regions depends on a number of socio-economic factors, the impact of which has not been previously assessed. The presence of non-linear relationships in the influence on the volume of air travel is shown for some factors, which emphasizes the importance of their consideration in subsequent studies in this area.

Suggested Citation

  • Kseniia Rostislav & Dina Salimova & Yuri Ponomarev, 2023. "Interregional air passenger flows determinants in Russia," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 72, pages 38-57.
    • Handle: RePEc:ris:apltrx:0484
    as

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    References listed on IDEAS

    as
    1. Paula Margaretic & Christine Thomas-Agnan & Romain Doucet, 2017. "Spatial dependence in (origin-destination) air passenger flows," Papers in Regional Science, Wiley Blackwell, vol. 96(2), pages 357-380, June.
    2. Bhadra, Dipasis & Kee, Jacqueline, 2008. "Structure and dynamics of the core US air travel markets: A basic empirical analysis of domestic passenger demand," Journal of Air Transport Management, Elsevier, vol. 14(1), pages 27-39.
    3. Yu. A. Shcherbanin, 2016. "The use of regression models to forecast passenger air travel indices," Studies on Russian Economic Development, Springer, vol. 27(3), pages 269-275, May.
    4. Zhang, Yahua & Findlay, Christopher, 2014. "Air transport policy and its impacts on passenger traffic and tourist flows," Journal of Air Transport Management, Elsevier, vol. 34(C), pages 42-48.
    5. Hsiao, Chieh-Yu & Hansen, Mark, 2011. "A passenger demand model for air transportation in a hub-and-spoke network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(6), pages 1112-1125.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    air passenger flows; gravity modelling; Russian regions;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • L93 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Air Transportation
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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