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Quality & Quantity

, Volume 45, Issue 1, pp 91–102 | Cite as

Intervention analysis of SARS on Japanese tourism demand for Taiwan

  • Jennifer C. H. MinEmail author
  • Christine Lim
  • Hsien-Hung Kung
Article

Abstract

Japan was Asia’s leading generator of international tourism in the 1980s and 1990s. Japanese tourists make up over 30% of all international tourists to Taiwan and they have been the highest ranking tourist source market since the early stages of the island’s tourism development in the 1970s. However, the Severe Acute Respiratory Syndrome (SARS) outbreak in 2003, the most catastrophic disaster in the past 100 years in Taiwan, had a huge impact on Japanese inbound tourism to the island. The purpose of this study is to evaluate how Japanese inbound arrivals have been affected by the SARS outbreak. A SARIMA with intervention model is used to assess the impact of the epidemic on inbound tourism from Japan to Taiwan in the aftermath of the SARS outbreak. The empirical results indicated that inbound tourism from Japan was devastated by the crisis, particularly during the first 5 months after the SARS outbreak. This study provides some helpful insight for the tourism industry to respond to the impact of exogenous shock.

Keywords

International tourism Tourists Outbreak Impact Intervention model 

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References

  1. Bonham C.S., Gangnes B.: Intervention analysis with cointegrated time series: the case of the Hawaii hotel room tax. Appl. Econ. 28(10), 1281–1293 (1996)CrossRefGoogle Scholar
  2. Box G.E.P., Jenkins G.M.: Time Series Analysis, Forecasting and Control. Holden-Day Inc., San Francisco (1976)Google Scholar
  3. Box G.E.P., Tiao G.C.: Intervention analysis with applications to economic and environmental problems. J. Am. Stat. Assoc. 70, 70–74 (1975)CrossRefGoogle Scholar
  4. Box G.E.P., Jenkins G.M, Reinsel G.C.: Time Series Analysis: Forecasting and Control. 3rd edn. Prentice Hall, Englewood Cliffs, New Jersey (1994)Google Scholar
  5. Brocklebank J., Dickey D.A.: SAS for Forecasting Time Series. SAS Institute Inc., Cary, NC (2003)Google Scholar
  6. Chen M.H.: Interventions between business conditions and financial performance of tourism firms: evidence from China and Taiwan. Tour. Manage. 28(1), 188–203 (2007)CrossRefGoogle Scholar
  7. Chen M.H., Jan S.C., Kim W.G.: The impact of the SARS outbreak on Taiwanese hotel stock performance: an even-study approach. Int. J. Hosp. Manage. 26(1), 200–212 (2007a)CrossRefGoogle Scholar
  8. Chen Y.C., Kang H.H., Yang T.C.: A study on the impact of SARS on the forecast of visitor arrivals to China. J. Asia-Pacific Bus. 8(1), 31–50 (2007b)CrossRefGoogle Scholar
  9. Coshall J.T.: The threat of terrorism as an intervention on international travel flows. J. Travel Res. 42(1), 4–12 (2003)CrossRefGoogle Scholar
  10. Coshall J.T.: Interventions on UK earnings and expenditures overseas. Ann. Tour. Res. 32(5), 592–609 (2005)Google Scholar
  11. Enders W.: Applied Econometrics Time Series. Willey, New York (2004)Google Scholar
  12. Goh C., Law R.: Modeling and forecasting tourism demand for arrivals with stochastic nonstationary seasonality and intervention. Tour. Manage. 23(5), 499–510 (2002)CrossRefGoogle Scholar
  13. Henderson J.C., Ng A.: Responding to crisis: Severe Acute Respiratory Syndrome (SARS) and hotels in Singapore. Int. J. Tour. Res. 6(6), 411–419 (2004)CrossRefGoogle Scholar
  14. Kim H. J., Chen M.H., Jang S.C.: Tourism expansion and economic development: the case of Taiwan. Tour. Manage. 27(5), 925–933 (2006)CrossRefGoogle Scholar
  15. Lai S.L., Lu W.L.: Impact analysis of September 11 on air travel demand in the USA. J. Air Transp. Manage. 11(6), 455–458 (2005)CrossRefGoogle Scholar
  16. Lee S., Oh C., O’Leary J.T.: Estimating the impact of the September 11 terrorist attacks on the US air transport passenger demand using intervention analysis. Tour. Anal. 9(4), 255–361 (2005)CrossRefGoogle Scholar
  17. Lim C., McAleer M., Min J.: ARMAX modeling of international tourism demand. Math. Comput. Simul. 79(9), 2879–2888 (2009)CrossRefGoogle Scholar
  18. Lim C., Min J., McAleer M.: Modelling income effects on long and short haul international travel from Japan. Tour. Manag. 29(6), 1099–1109 (2008)CrossRefGoogle Scholar
  19. Lin M.: Taiwan: magnet for Japanese tourists. Cornell Hotel Restaur. Adm. Q. 31(1), 96–97 (1990)CrossRefGoogle Scholar
  20. Luk R., Ferrence R., Gmel G.: The economic impact of a smoke-free bylaw on restaurant and bar sales in Ottawa, Canada. Addiction 101(5), 738–745 (2006)CrossRefGoogle Scholar
  21. Min J., Kung S.H.: A case study of inbound tourism demand in Taiwan using intervention analysis. Int. J. Bus. Strateg. 8(1), 79–96 (2007)Google Scholar
  22. Min J., Wu B., Wu K.: Forecasting outbound tourism with intervention analysis. Bus. Rev. 16(2), 179–186 (2006)Google Scholar
  23. Nelson C., Plosser C.: Trends and random walks in macroeconomic time series. J. Monet. Econ. 10, 139–162 (1982)CrossRefGoogle Scholar
  24. Taiwan Tourism Bureau: Annual report on tourism 2003 (2004)Google Scholar
  25. Yaffee R.A., McGee M.: Introduction to Time Series Analysis and Forecasting. Academic Press, USA (2000)Google Scholar

Copyright information

© Springer Science+Business Media B.V. 2010

Authors and Affiliations

  • Jennifer C. H. Min
    • 1
    Email author
  • Christine Lim
    • 2
  • Hsien-Hung Kung
    • 3
    • 4
  1. 1.International Business DepartmentMing Chuan UniversityTaipeiTaiwan, ROC
  2. 2.Department of Tourism and Hospitality ManagementUniversity of WaikatoHamiltonNew Zealand
  3. 3.Institute of China and Asia-Pacific StudiesNational Sun Yat-Sen UniversityKaohsiungTaiwan, ROC
  4. 4.Department of Marketing and Distribution ManagementHsing Wu CollegeTaipeiTaiwan, ROC

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