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A Model of Tourism Demand for Tunisia: Inclusion of the Tourism Investment Variable

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  • Houssine Choyakh

    (Faculty of Economics and Management of Sfax, Route de l'aérodrôme km 4.5, BP 1088–3018 Sfax, Tunisia)

Abstract

This paper examines the determinants of European tourism demand for Tunisia. France, Germany, Italy and the UK are considered as the four major origin countries of Tunisian tourism since they generate more than 70% of the total number of hotel nights. The author applies a cointegration analysis to examine the long-run relationship between the number of nights spent by Europeans in Tunisian hotels and leading macroeconomic variables such as income in the origin countries, relative prices and the volume of tourism investment for the period 1962–2005. Error correction models are also constructed and estimated to study the short-run dynamics of tourism demand for Tunisia. The paper finds that the first determinant of tourism demand is the income of the tourist-generating countries, whereas Tunisian tourism is less sensitive to price variations and tourism investment. The results of the study are consistent with both economic theory and empirical fact.

Suggested Citation

  • Houssine Choyakh, 2008. "A Model of Tourism Demand for Tunisia: Inclusion of the Tourism Investment Variable," Tourism Economics, , vol. 14(4), pages 819-838, December.
  • Handle: RePEc:sae:toueco:v:14:y:2008:i:4:p:819-838
    DOI: 10.5367/000000008786440238
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    References listed on IDEAS

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    1. Song, Haiyan & Witt, Stephen F. & Jensen, Thomas C., 2003. "Tourism forecasting: accuracy of alternative econometric models," International Journal of Forecasting, Elsevier, vol. 19(1), pages 123-141.
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    Citations

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    Cited by:

    1. Peng, Bo & Song, Haiyan & Crouch, Geoffrey I., 2014. "A meta-analysis of international tourism demand forecasting and implications for practice," Tourism Management, Elsevier, vol. 45(C), pages 181-193.
    2. Amira Gasmi & Seifallah Sassi, 2015. "International tourism demand in Tunisia: Evidence from dynamic panel data model," Economics Bulletin, AccessEcon, vol. 35(1), pages 507-518.
    3. Armand Viljoen & Andrea Saayman & Melville Saayman, 2019. "Determinants influencing inbound arrivals to Africa," Tourism Economics, , vol. 25(6), pages 856-883, September.
    4. Manuel González-Gómez, 2022. "European outbound tourism expansion on the islands of Cape Verde," Tourism Economics, , vol. 28(4), pages 1129-1150, June.
    5. Ben Jebli, Mehdi & Ben Youssef, Slim & Apergis, Nicholas, 2014. "The dynamic interaction between combustible renewables and waste consumption and international tourism: The case of Tunisia," MPRA Paper 59827, University Library of Munich, Germany.
    6. Bouzahzah, Mohamed & El Menyari, Younesse, 2013. "The relationship between international tourism and economic growth: the case of Morocco and Tunisia," MPRA Paper 44102, University Library of Munich, Germany.
    7. Juan L. Nicolau, 2010. "Anomaly in Spanish Tourist Sensitivity to Price," Tourism Economics, , vol. 16(4), pages 915-923, December.
    8. Guizzardi, Andrea & Mazzocchi, Mario, 2010. "Tourism demand for Italy and the business cycle," Tourism Management, Elsevier, vol. 31(3), pages 367-377.
    9. Ogechi Adeola & Nathaniel Boso & Olaniyi Evans, 2018. "Drivers of international tourism demand in Africa," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 53(1), pages 25-36, January.
    10. Risso, Adrián, 2022. "El impacto de los programas de inversión pública en turismo sobre los ingresos por turismo en América Latina y el Caribe," IDB Publications (Working Papers) 12041, Inter-American Development Bank.
    11. Louail Bilal, 2022. "Causal Dynamics Between Tourism Receipts, Economic Growth, and Real Exchange Rate in Algeria’s Economy Between 1990 and 2019," European Journal of Tourism, Hospitality and Recreation, Sciendo, vol. 12(1), pages 1-11, December.

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