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Does tourism promote economic growth? A fractionally integrated heterogeneous panel data analysis

Bibliographic Data

ID21689583
AuthorsJorge V Pérez‐Rodríguez (0000-0002-6738-9191, Universidad de Las Palmas de Gran Canaria, corresponding author), Heiko Rachinger (0000-0002-2782-6545, Universitat de les Illes Balears), María Santana-Gallego (0000-0001-5977-7875, Universitat de les Illes Balears)
Year2022
Volume28
Issue5
Pages1355-1376
Publication date2022-08-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueTourism Economics (JOURNAL)
Journal identifiersISSN: 1354-8166 • E-ISSN: 2044-0375
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/1354816620980665
OpenAlexW3119856702
LanguageEN
Citations received12
References cited58

In this article, we analyse whether tourism promotes economic growth using a general dynamic panel data model that incorporates individual and interactive fixed effects and allows for contemporaneous correlation in model innovations. The empirical study is based on quarterly series of GDP and tourist arrivals for 14 European countries covering the period from 1995 to 2019. Results indicate that the case for a positive long-run relationship between tourism and economic growth is rather weak, being slightly stronger for the period prior to the global economic and financial crisis from 2007 to 2010. When applying panel fractional cointegration techniques, we find evidence in favour of the tourism-led growth hypothesis (TLGH) for the full sample mainly for North European countries. For the pre-crisis period, on the other hand, we find evidence in favour of the TLGH for the relevant tourist destinations Spain and France

Cointegration · Destinations · Econometrics · Economic geography · Economics · Economy · Empirical evidence · Financial crisis · Geography · Macroeconomics · Monetary economics · Panel data · Tourism · Diverse Aspects of Tourism Research · Economic and Environmental Valuation · Energy, Environment, Economic Growth

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Unique citing works12
Citations per year3
Citation span2022 - 2026 (5)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 10

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