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International tourism demand in Tunisia: Evidence from dynamic panel data model

Author

Listed:
  • Amira Gasmi

    (Laboratoire d''''Economie et Finance Appliquées - IHEC Carthage, Tunisia)

  • Seifallah Sassi

    (Laboratoire d''''Economie et Finance Appliquées - IHEC Carthage, Tunisia)

Abstract

The purpose of this paper is to identify and study the main determinants of international tourism demand with special reference to Tunisia over the period 1994–2012. The empirical study is based on estimations of GMM dynamic panel data model. Using a sample of 47 generating countries, empirical results show that consumer loyalty is a key determinant for foreign tourism demand in Tunisia. Estimated prices elasticities suggest that Tunisian tourism is surprisingly considered by foreigners as a luxury service and provide evidence that Tunisia and Morocco are substitute destinations. According to the supply induced demand theory, our investigation reveals that Tunisia is able to boost international tourism flows by promoting the tourism supply especially the accommodation capacity and the air supply.

Suggested Citation

  • 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.
    • Handle: RePEc:ebl:ecbull:eb-14-00425
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    References listed on IDEAS

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    Cited by:

    1. Burak Darici & Ahmet Aydin & Fatih Ayhan & Merve Altaylar, 2023. "Macroeconomic Determinants of Tourism Demand Toward Emerging Markets," Istanbul Journal of Economics-Istanbul Iktisat Dergisi, Istanbul University, Faculty of Economics, vol. 73(73-2), pages 837-864, December.
    2. Armand Viljoen & Andrea Saayman & Melville Saayman, 2019. "Determinants influencing inbound arrivals to Africa," Tourism Economics, , vol. 25(6), pages 856-883, September.
    3. Manuel González-Gómez, 2022. "European outbound tourism expansion on the islands of Cape Verde," Tourism Economics, , vol. 28(4), pages 1129-1150, June.
    4. Mihaela Simionescu, 2017. "The Relationship Between Tourist Arrivals And Accomodation In Romanian Regions. A Panel Data Approach," Revista de turism - studii si cercetari in turism / Journal of tourism - studies and research in tourism, "Stefan cel Mare" University of Suceava, Romania, Faculty of Economics and Public Administration - Economy, Business Administration and Tourism Department., vol. 23(23), pages 1-2, June.
    5. Manu Sharma & Geetilaxmi Mohapatra & A. K. Giri, 2022. "Examining the macro-determinants of tourist arrivals in India," SN Business & Economics, Springer, vol. 2(8), pages 1-18, August.

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    More about this item

    Keywords

    International Tourism Demand; Panel Data; GMM estimator;
    All these keywords.

    JEL classification:

    • L8 - Industrial Organization - - Industry Studies: Services
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables

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