The long-run impact of exchange rate regimes on international tourism flows

By Glauco De Vita. 2014

145 citations recorded by the source corpus.

Notwithstanding the systematic inclusion of an exchange rate variable of some form in studies examining international tourism flows, hardly any research has been carried out to test for a possible exchange rate regime effect. Drawing from recent advances in exchange rate regime classifications, this paper begins to fill this gap by investigating the impact of exchange rate regimes on international tourism flows. The study employs a system generalized methods of moments (SYS-GMM) estimation for tourist arrivals on a panel of 27 Organization for Economic Co-operation and Development (OECD) and non OECD countries for the period 1980–2011. The results identify multiple exchange rate regime effects and support the importance of maintaining a relatively stable exchange rate to attract international tourist arrivals.

Subfields: Economics and Econometrics, Sociology and Political Science, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/ca2255c489cae1e9f3cee53fd658fbcba171036e

How researchers see this paper

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In Economics and Econometrics

1. Robin Nunkoo
2. R. Sannassee
3. Z. K. Jaffur
4. Paul George Warren Moraghen
5. B. Seetanah

In Sociology and Political Science

1. R. Sannassee
2. Z. K. Jaffur
3. Paul George Warren Moraghen
4. Robin Nunkoo
5. B. Seetanah
6. D. Gursoy
7. Haywantee Ramkissoon
8. Manuel Alector Ribeiro

In Strategy and Management

1. B. Seetanah

Citations in the corpus

• Tourism as an important impetus to promoting economic growth: A critical review (2017, background): “As important exports of services, tourism demand is sensitive to exchange rates (De Vita, 2014; Tang, 2013) and global economic conditions (Boukas & Ziakas, 2013; Meng, 2014; Okumus & Karamustafa, 2005).”
• Tourism and Economic Growth: A Meta-regression Analysis (2019, background): “…by accounting not only for exchange rate, but also for exchange rate regimes as a control variable in studies on the TLGH given their effects on trade (Adam and Cobham 2007), price levels (Broda 2006), foreign direct investment (Abbott, Cushman, and De Vita 2012), and tourism demand (De Vita 2014).”
• Micro-economic determinants of tourist expenditure: a quantile regression approach. (2015, unknown): “…multinomial logit models (Grigolon et al., 2014), hurdle models (Bernini and Cracolici, 2015), dynamic panel models (Capacci et al., 2015) and panel system generalized method of moments models (De Vita, 2014). measure of the average response of tourist expenditure to changes in its determinants.”