Modelling Tourism Demand in Tunisia Using Cointegration and Error Correction Models

  • Houssine Choyakh

Tunisia is considered as a popular destination for the European tourists because of lots of factors such as the geographic proximity to Europe, the natural attractions like the sunny weather, the nice beaches, the Sahara and also for the cultural heritage of the country which vary from Carthaginian and Roman past to the Arab and Islamic history. Some 6.5 million of tourists visited Tunisia in 2006 and have spent over 2 billion dollars, which represents more than 6% of Tunisian GDP. Moreover, tourism employs 100,000 people and the revenue generated by this sector amounts to 74% of the commercial trade deficit.


Price Elasticity Income Elasticity Error Correction Model Cross Price Elasticity Tourism Product 
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  1. Croes RR, Vanegas MS (2005) An econometric study of tourist arrivals in Aruba and its implications. Tourism Manage 26:879–890CrossRefGoogle Scholar
  2. Crouch GI (1992) Effect of income and price on international tourism. Ann Tourism Res 19:643–664CrossRefGoogle Scholar
  3. Crouch GI (1994) A Meta-Analysis of Tourism Demand. Ann Tourism Res 22(1):103–118CrossRefGoogle Scholar
  4. Crouch GI (1996) Demand elasticities in international marketing: A meta-analytical application to tourism. J Bus Res 36:117–136CrossRefGoogle Scholar
  5. Daniel AC, Ramos FR (2002) Modelling inbound international tourism demand to Portugal. Int J Tourism Res 4(3):193–209CrossRefGoogle Scholar
  6. Divisekera S (2003) A model of demand for international tourism. Ann Tourism Res 30:31–49CrossRefGoogle Scholar
  7. Dritsakis N (2004) Cointegration analysis of German and British tourism demand for Greece. Tourism Manage 25:111–119CrossRefGoogle Scholar
  8. Engle RF, Granger CWJ (1987) Co-integration and error correction: Representation, estimation and testing. Econom 55(2):251–276CrossRefGoogle Scholar
  9. Granger CWJ (1981) Some properties of time series data and their use in. econometric model specification. J Econom 16:121–130CrossRefGoogle Scholar
  10. Granger CWJ, Weiss AA (1983) Time series analysis of error correcting models. Studies in econometrics, time series and multivariate statistics. Academic Press, New York, pp 255–278Google Scholar
  11. Hendry DF (1995) Dynamic econometrics. Oxford University Press, Oxford, UKCrossRefGoogle Scholar
  12. Johansen S (1988) Statistical analysis of cointegration vectors. J Econ Dyn Control 1988:231–254CrossRefGoogle Scholar
  13. Johansen S, Juselius K (1990) Maximum likelihood estimation and inferences on cointegration with application to the demand for money. Oxf Bull Econ Stat 52:160–210Google Scholar
  14. Kulendran N (1996) Modelling quarterly tourist flows to Australia using cointegration analysis. Tourism Econ 2(3):203–222Google Scholar
  15. Kulendran N, Witt SF (2001) Cointegration versus least squares regression. Ann Tourism Res 28:291–311CrossRefGoogle Scholar
  16. Li G, Song H, Witt SF (2005) Recent developments in econometric modeling and forecasting. J Travel Res 42:82–99CrossRefGoogle Scholar
  17. Lim C (1997) Review of international tourism demand models. Ann Tourism Res 24(4):835–849CrossRefGoogle Scholar
  18. Lim C (1999) A meta-analytic review of international tourism demand. J Travel Res 37:273–284CrossRefGoogle Scholar
  19. Lim C, McAleer M (2002) A cointegration analysis of tourism demand by Malaysia for Australia. Math Comput Simul 59:197–205CrossRefGoogle Scholar
  20. Martin C, Witt SF (1988) Substitute prices in models of tourism demand. Ann Tourism Res 15:255–268CrossRefGoogle Scholar
  21. Muñoz TG, Montero-Martín L F (2007) Inbound international tourism to Canary Islands: A dynamic panel data model. Tourism Manage 27:281–291CrossRefGoogle Scholar
  22. Ouerfelli C (1998) La demande touristique européenne en Tunisie. Working Paper LATEC Université de Bourgogne, FranceGoogle Scholar
  23. Ouerfelli C (2008) Co-integration analysis of quarterly European tourism demand in Tunisia. Tourism Manage 29:127–137CrossRefGoogle Scholar
  24. Plog S (1974) Why destination areas rise and fall in popularity? Cornell Hotel Restaur Q 14:55–58CrossRefGoogle Scholar
  25. Seddighi HR, Shearing DF (1997) The demand for tourism in north east England with special reference to Northumbria: an empirical analysis. Tourism Manage 18(8):499–511CrossRefGoogle Scholar
  26. Song H, Witt SF (2000) Tourism demand modelling and forecasting: Modern econometric approaches book. Pergamon, OxfordGoogle Scholar
  27. Song H, Wong KF, Chon S (2003a) Modelling and forecasting the demand for Hong Kong tourism. Int J Hospitality Manage 22: 435–451CrossRefGoogle Scholar
  28. Song H, Witt SF, Jensen TC (2003b) Tourism forecasting: Accuracy of alternative econometric models. International Journal of Forecasting 19:123–141CrossRefGoogle Scholar
  29. Song H, Li G (2007) Tourism demand modelling and forecasting – A review of recent research. Tourism Management (in press)Google Scholar
  30. Syriopoulos T (1995) A dynamic model of demand for mediterranean tourism international. Rev Appl Econ 9:318–336CrossRefGoogle Scholar

Copyright information

© Physica-Verlag Heidelberg 2009

Authors and Affiliations

  1. 1.Faculty of Economics and Management MODEVIUniversity of SfaxSfaxTunisia

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