Publication:
Tourism and economic growth: A global study on Granger causality and wavelet coherence

dc.contributor.authorWijesekara, C
dc.contributor.authorTittagalla, C
dc.contributor.authorIlukpotha, U
dc.contributor.authorJayathilaka, A
dc.contributor.authorJayathilaka, R
dc.contributor.authorJayasinghe, P
dc.date.accessioned2022-09-15T06:37:09Z
dc.date.available2022-09-15T06:37:09Z
dc.date.issued2022-09-12
dc.description.abstractThis paper empirically investigates the relationship between tourism and economic growth by using a panel data cointegration test, Granger causality test and Wavelet coherence analysis at the global level. This analysis examines 105 nations utilising panel data from 2003 to 2020. The findings indicates that in most regions, tourism contributes significantly to economic growth and vice versa. Developing trade across most of the regions appears to be a major influencer in the study, as a bidirectional association exists between trade openness and economic growth. Additionally, all regions other than the American region showed a one-way association between gross capital formation and economic growth. Therefore, it is crucial to highlight that using initiatives to increase demand would advance tourism while also boosting the economy.en_US
dc.identifier.citationWijesekaraid, Chathuni & Tittagallaid, Chamath & Jayathilaka, Ashinsana & Ilukpotha, Uvinya & Jayathilaka, Ruwan & Jayasingheid, Punmadara. (2022). Tourism and economic growth: A global study on Granger causality and wavelet coherence. PLoS ONE. 17. 1-21. 10.1371/journal.pone.0274386.en_US
dc.identifier.doi10.1371/journal.pone.0274386en_US
dc.identifier.issn1932-6203
dc.identifier.urihttps://rda.sliit.lk/handle/123456789/2984
dc.language.isoenen_US
dc.publisherresearchgate.neten_US
dc.relation.ispartofseriesPLoS ONE;17(9):1-21
dc.subjecteconomic growthen_US
dc.subjectTourismen_US
dc.subjectglobal studyen_US
dc.subjectGranger causalityen_US
dc.subjectwavelet coherenceen_US
dc.titleTourism and economic growth: A global study on Granger causality and wavelet coherenceen_US
dc.typeArticleen_US
dspace.entity.typePublication

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