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The disruptive impact of COVID-19 on air transportation: An ITS econometric analysis

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  • Andreana, Gianmarco
  • Gualini, Andrea
  • Martini, Gianmaria
  • Porta, Flavio
  • Scotti, Davide

Abstract

This paper provides estimates of the destructive impact of the COVID-19 outbreak on air transport at the macro-regional level. To this end, weekly data on the air service volumes are analyzed through an ITS SARIMA model and a counterfactual analysis covering the 2016–2020. We find that the real effect of COVID-19 was a reduction above 80% in all world's macro-regions in May 2020, and still a decrease of about 70% at the end of the Summer 2020, with the only exception of China and Eastern Asia, and North America, where the reductions are, respectively, −29% and −54%. The empirical evidence confirms that the impact of the pandemic crisis and of the subsequent lockdown has been dramatic, much higher than any previous crisis. We also find that the impact is greater for intercontinental connections and for FSCs, while LCCs appear to be slightly more resilient. These results confirm that airline economic sustainability is currently at high risk, and that the unequal resources of the various countries in subsidizing national airlines could generate a competitive imbalance in the future.

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  • Andreana, Gianmarco & Gualini, Andrea & Martini, Gianmaria & Porta, Flavio & Scotti, Davide, 2021. "The disruptive impact of COVID-19 on air transportation: An ITS econometric analysis," Research in Transportation Economics, Elsevier, vol. 90(C).
    • Handle: RePEc:eee:retrec:v:90:y:2021:i:c:s0739885921000147
    DOI: 10.1016/j.retrec.2021.101042
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    Cited by:

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    7. Betarelli Junior, Admir Antonio & Faria, Weslem Rodrigues & Proque, Andressa Lemes & Perobelli, Fernando Salgueiro & de Almeida Vale, Vinicius, 2021. "COVID-19, public agglomerations and economic effects: Assessing the recovery time of passenger transport services in Brazil," Transport Policy, Elsevier, vol. 110(C), pages 254-272.
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    More about this item

    Keywords

    COVID-19 pandemic crisis; Air transportation; Interrupted time series SARIMA model;
    All these keywords.

    JEL classification:

    • L93 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Air Transportation
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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