Tourism Competitiveness and Mobile Data: A Grey Relational Analysis for European Entrepreneurship Pre & During Pandemic

Gabor Manuela Rozalia (), Curta Petru Alexandru and Oltean Flavia Dana
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Gabor Manuela Rozalia: ED1 – Economic Science Department, Faculty of Economics and Law, “G.E. Palade” University of Medicine, Pharmacy, Science and Technology of Târgu Mureș, Târgu Mureș, Romania
Curta Petru Alexandru: Department of Economic Research, Centre for Law, Economics and Business Studies, “G.E. Palade” University of Medicine, Pharmacy, Science and Technology of Târgu Mureș, Târgu Mureș, Romania
Oltean Flavia Dana: ED1 – Economic Science Department, Faculty of Economics and Law, “G.E. Palade” University of Medicine, Pharmacy, Science and Technology of Târgu Mureș, Târgu Mureș, Romania

Economics, 2024, vol. 12, issue 2, 1-20

Abstract: The tourism country’s competitiveness is important especially when countries strive for bigger market shares as European countries are. The COVID-19 pandemic has had devastating effects on tourism and the entire tourism industry must be rethinking and reshaping given some opportunities and challenges to the entrepreneurs, local communities, local administrations, governments of competitiveness destinations. In this paper we measured if the Google and Apple mobility indices cand predict (or not) the movement of TTCI during pandemic compared with pre-pandemic TTCI ranks by using grey system theory and statistical methods. The aim of the paper is to validate the Grey Relational Analysis (GRA) as identifier of the good predictor (statistically significant for p-value

Keywords: competitiveness; tourism; GRA – Grey Relational Analysis; Google mobility data; Apple Mobility Data; General Linear Model; ANOVA with interaction effects (search for similar items in EconPapers)
JEL-codes: L83 O35 Q01 Z32 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:econom:v:12:y:2024:i:2:p:1-20:n:1005

DOI: 10.2478/eoik-2024-0015

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