Why Did Greeks Prefer not to Do Tourism in the Covid-19 Era?

Lambros Tsourgiannis (), Stavros Valsamidis (), Giannoula Florou () and George Drosatos ()
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Lambros Tsourgiannis: Directorate of Public Health and Social Care of Regional District of Xanthi, Region of Eastern Macedonia and Thrace
Stavros Valsamidis: International Hellenic University, Agios Loukas
Giannoula Florou: International Hellenic University, Agios Loukas
George Drosatos: Athena Research Centre

A chapter in Global, Regional and Local Perspectives on the Economies of Southeastern Europe, 2023, pp 299-313 from Springer

Abstract: Abstract The tourism sector, globally, was one of the largest markets of the twenty-first century, until the world faced the COVID-19 pandemic. Regarding the impact of the crisis on the hospitality industry of all countries for the 3rd week of March 2020, compared to the corresponding week in 2019, the number of visitors has decreased significantly by 50% or more. The hardest hit was in countries that were exposed to the crisis acutely with a large number of cases, as well as in countries that have imposed radical measures to curb population movement. The outbreak of COVID-19 due to its expansion worldwide affected negatively all the sectors that are interrelated to tourism Therefore, it is important to distinguish and quantify perceived attitudes and social behaviours related to tourism during the COVID-19 crisis in order to reduce its adverse effects. In this paper, we aim to discover the potential attitudes of Greek tourists that will not go for holidays due to COVID-19 and to classify them into groups according to their attitude towards these issues. This paper explores the potential attitudes of Greek tourists that will not go for holidays due to COVID-19 and classifies them into groups according to their attitude towards these issues. A primary survey has been conducted to a randomly selected sample of Greek tourists. Principal component analysis has been employed to characterize the main factors that influence tourists not to go for holidays. Cluster analysis has been utilized to classify tourists into groups according to their attitude towards those decisions whilst discriminant analysis has been employed to check cluster predictability. Non-parametric tests have been used to examine the impact of their demographic characteristics towards their attitudes. Non-parametric tests including chi-square and Friedman non-parametric test performed to develop the profile of those citizens.

Keywords: Marketing; Tourism marketing; Covid-19 (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/978-3-031-34059-8_16

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