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

49Citations
Citations of this article
118Readers
Mendeley users who have this article in their library.

This article is free to access.

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.

Cite

CITATION STYLE

APA

Enilov, M., & Wang, Y. (2022). Tourism and economic growth: Multi-country evidence from mixed-frequency Granger causality tests. Tourism Economics, 28(5), 1216–1239. https://doi.org/10.1177/1354816621990155

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free