Impact of COVID-19 on the travel and tourism industry

By Marinko Skare, Domingo Ribeiro Soriano, Małgorzata Porada-Rochoń. Technological forecasting & social change, 2020

708 citations recorded by the source corpus.

Our paper is among the first to measure the potential effects of the COVID-19 pandemic on the tourism industry. Using panel structural vector auto-regression (PSVAR) (Pedroni, 2013) on data from 1995 to 2019 in 185 countries and system dynamic modeling (real-time data parameters connected to COVID-19), we estimate the impact of the pandemic crisis on the tourism industry worldwide. Past pandemic crises operated mostly through idiosyncratic shocks' channels, exposing domestic tourism sectors to large adverse shocks. Once domestic shocks perished (zero infection cases), inbound arrivals revived immediately. The COVID-19 pandemic, however, is different; and recovery of the tourism industry worldwide will take more time than the average expected recovery period of 10 months. Private and public policy support must be coordinated to assure capacity building and operational sustainability of the travel tourism sector during 2020–2021. COVID-19 proves that pandemic outbreaks have a much larger destructive impact on the travel and tourism industry than previous studies indicate. Tourism managers must carefully assess the effects of epidemics on business and develop new risk management methods to deal with the crisis. Furthermore, during 2020–2021, private and public policy support must be coordinated to sustain pre-COVID-19 operational levels of the tourism and travel sector.

Subfields: Economics and Econometrics, Modeling and Simulation, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/4a233bc51f9698107cfe386cf2a259ed8aaf9189

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

  1. Justin Paul

In Modeling and Simulation

  1. Justin Paul

In Sociology and Political Science

  1. Jana Prodanova
  2. Prasanta Kr. Chopdar
  3. Silvia Ranfagni
  4. Justin Paul
  5. Jinde Jiang

Citations in the corpus