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Cointegration analysis of quarterly tourism demand by Hong Kong and Singapore for Australia

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Author Info

  • Christine Lim
  • Michael McAleer

Abstract

Hong Kong and Singapore are two of the most important and fastest growing markets for tourists to Australia. The purpose of this paper is to investigate movements in the long-run demand for tourist travel by these two origin countries for Australia. Some of the leading macroeconomic variables examined to explain tourism demand are incomes in Hong Kong and Singapore, tourism prices in Australia, and transportation costs and exchange rates between the two countries and Australia. Seasonally unadjusted quarterly data are used for Hong Kong for the period 1975(1)-1996(4), and for 1980(4)-1996(4) for Singapore. Several proxy variables are used for the incomes of tourists from Hong Kong and Singapore to explain quarterly tourist arrivals to Australia. The augmented Dickey-Fuller test for unit roots is examined in the univariate framework, and Johansen's maximum likelihood procedure is used to test for cointegration and to estimate the number of cointegrating vectors. Error correction models are estimated to explain quarterly tourism demand by Hong Kong and Singapore for Australia.

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File URL: http://www.tandfonline.com/doi/abs/10.1080/00036840010014012
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Bibliographic Info

Article provided by Taylor & Francis Journals in its journal Applied Economics.

Volume (Year): 33 (2001)
Issue (Month): 12 ()
Pages: 1599-1619

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Handle: RePEc:taf:applec:v:33:y:2001:i:12:p:1599-1619

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Citations

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography for Economics:
  1. > Industrial Organization > Industry studies > Sports, recreation and tourism > Tourism
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Cited by:
  1. Christine Lim & Michael McAleer, 2003. "Modelling International Travel Demand from Singapore to Australia," CIRJE F-Series CIRJE-F-214, CIRJE, Faculty of Economics, University of Tokyo.
  2. Koo, Tay T.R. & Tan, David T. & Duval, David Timothy, 2013. "Direct air transport and demand interaction: A vector error-correction model approach," Journal of Air Transport Management, Elsevier, vol. 28(C), pages 14-19.
  3. Chukiat Chaiboonsri & Jittaporn Sriboonjit & Thanes Sriwichailamphan & Prasert Chaitip & Songsak Sriboonchitta, 2010. "A Panel Cointegration Analysis: An Application To International Tourism Demand Of Thailand," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 10(3), pages 69-86.
  4. Bonham, Carl & Gangnes, Byron & Zhou, Ting, 2009. "Modeling tourism: A fully identified VECM approach," International Journal of Forecasting, Elsevier, vol. 25(3), pages 531-549, July.
  5. Saroja Selvanathan, 2007. "The effect of war and other factors on Sri Lankan tourism," Applied Economics Letters, Taylor & Francis Journals, vol. 14(1), pages 35-38.
  6. Juncal Cuñado & Alberiko Gil-Alana, Luis & Perez De Gracia, Fernando, 2011. "Modelling International Monthly Tourist in Spain/Modelización de llegadas mensuales de turistas a España," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 29, pages 723-736, Diciembre.
  7. Christine Lim & Michael McAleer, 2001. "Modelling the Determinants of International Tourism Demand to Australia," ISER Discussion Paper 0532, Institute of Social and Economic Research, Osaka University.
  8. George Athanasopoulos & Rob J. Hyndman, 2006. "Modelling and forecasting Australian domestic tourism," Monash Econometrics and Business Statistics Working Papers 19/06, Monash University, Department of Econometrics and Business Statistics.
  9. Paresh Kumar Narayan, 2006. "Are Australia's tourism markets converging?," Applied Economics, Taylor & Francis Journals, vol. 38(10), pages 1153-1162.
  10. repec:wyi:journl:002126 is not listed on IDEAS
  11. Egon Smeral & Michael Wüger, 2004. "Does Complexity Matter? Methods for Improving Forecasting Accuracy in Tourism," WIFO Working Papers 225, WIFO.
  12. Chukiat Chaiboonsri & Prasert Chaitip & N. Rangaswamy, 2009. "Modelling International Tourism Demand in Thailand," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 9(3), pages 125-146.

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