TY - JOUR
T1 - International tourism and outbreak of coronavirus (COVID-19) : a cross-country analysis
AU - Farzanegan, Mohammad Reza
AU - Gholipour, Hassan F.
AU - Feizi, Mehdi
AU - Nunkoo, Robin
AU - Andargoli, Amir Eslami
PY - 2021
Y1 - 2021
N2 - This study examines the relationship between international tourism and COVID-19 cases and associated deaths in more than 90 nations. We use a cross-country regression analysis and find a positive correlation between international tourism and the cumulated level of COVID-19 confirmed cases and death by April 30, 2020. Our regression analyses show that countries exposed to high flows of international tourism are more prone to cases and deaths caused by the COVID-19 outbreak. This association is robust even after controlling for other socioeconomic determinants of COVID-19 outbreak and regional dummies. Based on our estimations, a 1% higher level of inbound and outbound tourism is associated with 1.2% and 1.4% higher levels of confirmed COVID-19 cases and death, respectively, controlling for other factors. When we normalize the number of cases and death by size of population, the statistical significance remains robust, especially for the COVID-19 deaths, while the effect size reduces.
AB - This study examines the relationship between international tourism and COVID-19 cases and associated deaths in more than 90 nations. We use a cross-country regression analysis and find a positive correlation between international tourism and the cumulated level of COVID-19 confirmed cases and death by April 30, 2020. Our regression analyses show that countries exposed to high flows of international tourism are more prone to cases and deaths caused by the COVID-19 outbreak. This association is robust even after controlling for other socioeconomic determinants of COVID-19 outbreak and regional dummies. Based on our estimations, a 1% higher level of inbound and outbound tourism is associated with 1.2% and 1.4% higher levels of confirmed COVID-19 cases and death, respectively, controlling for other factors. When we normalize the number of cases and death by size of population, the statistical significance remains robust, especially for the COVID-19 deaths, while the effect size reduces.
KW - COVID-19 (disease)
KW - coronavirus infections
KW - regression analysis
KW - tourism
KW - tourists
UR - http://hdl.handle.net/1959.7/uws:56879
U2 - 10.1177/0047287520931593
DO - 10.1177/0047287520931593
M3 - Article
SN - 0047-2875
VL - 60
SP - 687
EP - 692
JO - Journal of Travel Research
JF - Journal of Travel Research
IS - 3
ER -