Table 1.

Summary of the literature

Author(s)MethodologyResults
Toh et al. (1997) Regression AnalysisExchange rates have a very limited effect on the expected number of tourists
Webber (2001) Johansen and Engle Granger Cointegration MethodThere is a long-term relationship between exchange rate volatility and tourism demand
Dritsakis (2004) Johansen Maximum Likelihood Procedure, VAR Model, ECMThere is a cointegration relationship between exchange rates and tourism demand
Bhattacharya and Narayan (2005) Maddala and Wu Panel Unit Root TestThe shocks in the tourism demand of the Indian economy are temporary
Narayan (2005) Zivot and Andrews (2002) One Break Test and Lumsdaine and Papell (1997) Two Break TestShocks occurring in the tourism industry in Fiji have a temporary effect on tourism expenditures
Shareeff and McAleer (2005) GARCH-GJRUncertainty in the economy causes shocks in tourism demand
Lean and Smyth (2009) Lagrange Multiplier (LM) Unit Root Tests with One and Two Structural BreaksThe impact of shocks is temporary in the presence of structural breaks in the Malaysian economy
Lee (2009) Augmented Dickey and Fuller and Kwiatkowski et al. TestsThe impact of external shocks in Singapore's tourism demand is temporary on tourists from nine countries, while tourists from three countries are not affected by these shocks
Smyth et al. (2009) Univariate and Panel LM Unit Root Tests with One and Two Structural BreaksTerrorist attacks in Bali cause temporary shocks in the number of tourists coming
Santana-Gallego et al. (2010) Panel Data Analysis, Pooled OLS, FE-2SLS, RE-2SLSLess elastic exchange rates increase tourism demand
Balli et al. (2018) Multiple and Partial Wavelet AnalyzesWhile the effects of global economic uncertainties on tourism demand vary by country, local uncertainties significantly affect tourism demand in all countries

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