바로가기메뉴

본문 바로가기 주메뉴 바로가기

logo

The Impact of Foreign Exchange Rates on International Travel: The Case of South Korea

The Journal of Distribution Science / The Journal of Distribution Science, (P)1738-3110; (E)2093-7717
2012, v.10 no.9, pp.5-11
https://doi.org/https://doi.org/10.15722/jds.10.9.201209.5
Lee, Jung-Wan
  • Downloaded
  • Viewed

Abstract

Purpose - The objective of the paper is to explain both the price sensitivity of international tourists to South Korea and the price sensitivity of Korean tourists to international travel. The study examines long-run equilibrium relationships and Granger causal relationships between foreign exchange rates and inbound and outbound tourism demand in South Korea. Research design/ data / methodology - The study employs monthly time series data from January 1990 to September 2010. The paper examines the long-run equilibrium relationship using the Johansen cointegration test approach after unit root tests. The short-run Granger causality was tested using the vector error correction model with the Wald test. Results - Hypothesis 1 testing whether there is a long-run equilibrium relationship between exchange rates, inbound and outbound tourism demand is supported. Hypothesis 2 testing whether exchange rates lead to a change in touristarrivals and expenditure is not supported. Hypothesis 3 testing whether exchange rates lead to a change in tourist departures and expenditure is supported. Conclusions - The findings of this study show that the impacts of tourism price competitiveness are changing quite significantly with regard to destination competitiveness. In other words, the elasticity of tourism price over tourism demand has been moderated.

keywords
Tourism Demand, Exchange Rates, Destination Competitiveness, South Korea

Reference

1.

Brons, M., Pels, E., Nijkamp, P. & Rietveld, P. (2002), “Price elasticity of demand for passenger air travel: A meta-analysis”, Journal of Air Transport Management, 8, 165-175.

2.

Carter, D.A., Rogers, D.A. & Simkins, B.J. (2006), “Does hedging affect firm value? Evidence from the US airline industry”, Financial Management, 35, 53-88.

3.

Chan, F., Lim, C. & McAleer, M. (2005), “Modeling multivariate international tourism demand and volatility”, Tourism Management, 26, 459–471.

4.

Croes, R.R. & Vanegas, M. (2005), “An econometric study of tourist arrivals in Aruba and its implications”, Tourism Management, 26, 879-890.

5.

Crouch, G.I. (1994), “The study of international tourism demand: A survey of practice”, Journal of Travel Research, 34, 41–54.

6.

De Mello, M., Pack, A. & Sinclair, M.T. (2002), “A system of equations model of UK tourism demand in neighbouring countries”, Applied Economics, 34, 509–521.

7.

Dickey, D.A. & Fuller, W.A. (1979), “Distribution of the estimators for autoregressive time series with a unit root”, Journal of the American Statistical Association, 74, 427–431.

8.

Divisekera, S. (2003), “A model of demand for international tourism”, Annals of Tourism Research, 30, 31–49.

9.

Dwyer, L., Forsyth, P. & Rao, P. (2002), “Destination price competitiveness: Exchange rate changes versus inflation rates”, Journal of Travel Research, 40, 340–348.

10.

Elliott, G., Rothenberg, T.J., & Stock, J.H. (1996), “Efficient tests for an autoregressive unit root”, Econometrica, 64, 813-836.

11.

Engle, R.F. & Granger, C.W.J. (1987), “Cointegration and error correction: Representation, estimation and testing”, Econometrica, 55, 251–276.

12.

Forsyth, P. & Dwyer, L. (2009), “Tourism price competitiveness”, In J. Blanke & T. Chiesa (Eds.), The Travel and Tourism Competitiveness Report 2009 (pp. 77-90), Geneva, Switzerland: World Economic Forum.

13.

Granger, C.W.J. (1988), “Some recent developments in a concept of causality”, Journal of Econometrics, 39, 199–211.

14.

Hoti, S., McAleer, M. & Shareef, R. (2007), “Modeling international tourism and country risk spillovers for Cyprus and Malta”, Tourism Management, 28, 1472–1484.

15.

Hua, N. & Upneja, A. (2007), “Going international? Important factors executives should consider!”, International Journal of Contemporary Hospitality Management, 19, 537-545.

16.

Jang, S. & Tang, C. (2009), “Simultaneous impacts of internationalization and financial leverage on profitability”, Journal of Hospitality and Tourism Research, 33, 347-368.

17.

Johansen, S. (1991), “Estimation and hypothesis testing of cointegration vectors in Gaussian vector autoregressive models”, Econometrica, 59, 1551–1580.

18.

Kim, S. & Song, H. (1998), “Analysis of tourism demand in South Korea: A cointegration and error correction approach”, TourIsm Analysis, 3, 25–41.

19.

Kim, S.S. & Wong, K.F. (2006), “Effect of news shock on inbound tourist demand volatility in Korea”, Journal of Travel Research, 44, 457–466.

20.

Kulendran, N. & King, M.L. (1997), “Forecasting international quarterly tourist flows using error correction and time-series models”, International Journal of Forecasting, 13, 319–327.

21.

Kwiatkowski, D., Phillips, P.C.B., Schmidt, P. & Shin, Y.C. (1992),“Testing the null hypothesis of stationary against the alternativeof a unit root”, Journal of Econometrics, 54, 159-178.

22.

Lee, C. (1996), “Major determinants of international tourism demand for South Korea: Inclusion of marketing variable”, Journal of Travel and Tourism Marketing, 5, 101-118.

23.

Lee, S. & Jang, S. (2010), “Internationalization and exposure to foreign currency risk: An examination of lodging firms”, International Journal of Hospitality Management, 29, 701-710.

24.

Lee, S. (2008), “Internationalization of US multinational hotel companies: Expansion to Asia versus Europe”, International Journal of Hospitality Management, 27, 657-664.

25.

Lee, S.K. & Jang, S.C. (2011), “Foreign exchange exposure of US tourism-related firms”, Tourism Management, 32, 934-948.

26.

Lim, C. (1999), “A meta-analytic review of international tourism demand”, Journal of Travel Research, 37, 273–284.

27.

Lim, C. (2006), “A survey of tourism demand modeling practice: Issues and implications”, In L. Dwyer & P. Forsyth (Eds.), International Handbook on the Economics of Tourism (pp. 45 –72), Northampton, MA: Edward Elgar.

28.

Lim, C., Min, J.C.H. & McAleer, M. (2008), “Modeling income effects on long and short haul international travel from Japan”, Tourism Management, 29, 1099-1109.

29.

Mackinnon, J.G. (1996), “Numerical distribution functions for unit root and co-integration tests”, Journal of Applied Econometrics, 11, 601-618.

30.

Mackinnon, J.G., Haug, A.A. & Michelis, L. (1999), “Numerical distribution functions of likelihood ratio tests for co-integration”, Journal of Applied Econometrics, 14, 563-577.

31.

Newey, W. & West, K. (1994), “Automatic lag selection in covariance matrix estimation”, Review of Economic Studies, 61, 631-653.

32.

Ng, S. & Perron, P. (2001), “Lag length selection and the construction of unit root tests with good size and power”, Econometrica, 69, 1519-1554.

33.

Nicolau, J.L. & Mas, F.J. (2006), “The influence of distance and prices on the choice of tourist destinations: the moderating role of motivations”, Tourism Management, 27, 982-996.

34.

Park, K. & Jang, S. (2010), “Firm growth patterns: examining the associations with firm size and internationalization”, International Journal of Hospitality Management,29, 368-377.

35.

Phillips, P. & Perron, P. (1988), “Testing for a unit root in time series regression”, Biometrica, 75, 335–346.

36.

Phillips, P.C.B. & Ouliaris, S. (1990), “Asymptotic properties of residual based tests for cointegration”, Econometrica, 58, 165– 193.

37.

Schiff, A. & Becken, S. (2011), “Demand elasticity estimates for New Zealand tourism”, Tourism Management, 32, 564-575.

38.

Seo, J.H., Park, S.Y. & Yu, L. (2009), “The analysis of the relationships of Korean outbound tourism demand: Jeju Island and three international destinations”, Tourism Management, 30, 530-543.

39.

Shareef, R. & McAleer, M. (2007), “Modeling the uncertainty in monthly international tourist arrivals to the Maldives”, Tourism Management, 28, 23–45.

40.

Song, H. & Turner, L. (2006), “Tourism demand forecasting”, In L. Dwyer & P. Forsyth (Eds.), International Handbook on the Economics of Tourism (pp. 89–114), Northampton, MA: Edward Elgar.

41.

Song, H. & Witt, S.F. (2000), Tourism demand modeling and forecasting: Modern econometric approaches, Oxford, UK: Pergamon Press.

42.

Song, H., Romilly, P. & Liu, X. (2000), “An empirical study of outbound tourism demand in the U.K”, Applied Economics, 32, 611–624.

43.

Tsai, H., Kang, B., Yeh, R.J. & Suh, E. (2006), “Examining the hotel room supply and demand in Las Vegas: a simultaneous equations model”, International Journal of Hospitality Management, 25, 517-524.

44.

Tsekeris, T. (2009), “Dynamic analysis of air travel demand in competitive island markets”, Journal of Air Transport Management, 15, 267-273.

45.

Webber, A.G. (2001), “Exchange rate volatility and cointegration in tourism demand”, Journal of Travel Research, 39, 398–405.

46.

Witt, S.F. & Witt, C.A. (1995), “Forecasting tourism demand: a review of empirical research”, International Journal of Forecasting, 11, 447-475.

47.

World Travel and Tourism Council (2011), Travel and tourism economic impact 2011, London, UK: World Travel and Tourism Council.

The Journal of Distribution Science