Tourism and economic growth: Multi-country evidence from mixed-frequency Granger causality tests

Martin Enilov and Yuan Wang
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Martin Enilov: 4617Queen Mary University of London, UK; City, University of London, UK
Yuan Wang: 7314Sheffield Hallam University, UK

Tourism Economics, 2022, vol. 28, issue 5, 1216-1239

Abstract: This article provides new global evidence for the causal relationship between international tourist arrivals (TA) and economic growth (EG). The analysis considers 23 developing and developed countries and covers the period from January 1981 to December 2017. The causal relationship between TA and EG is determined using a bootstrap mixed-frequency Granger causality approach adopting a rolling window technique to evaluate its stability and persistency over time. Empirical results show that causality is time-varying in both the short-term and the long-term. We illustrate our results by constructing a new global connectivity index (GCI). The GCI shows that international TA remain a leading indicator for future EG in a global perspective, especially during the global financial crisis (GFC). Our findings suggest that tourism sector plays an important part in the future EG in developing countries after the GFC. Similarly, the period after the GFC is characterised by one of the highest values of the tourism-led EG in developed countries according to the GCI; however, this effect is temporal and quickly eradicates. Overall, we find that tourism sector in developing countries remains a primary contributor to future EG, which is not the case in developed countries.

Keywords: bootstrap granger causality; economic growth; global tourism; mixed data sampling (MIDAS); rolling window (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:sae:toueco:v:28:y:2022:i:5:p:1216-1239

DOI: 10.1177/1354816621990155

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