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Assessing the determinants of local tourism demand

Author

Listed:
  • Luca Zamparini

    (University of Salento, Italy)

  • Anna Serena Vergori

    (University of Salento, Italy)

  • Serena Arima

    (Sapienza University of Rome, Italy)

Abstract

Traditional analysis of tourism demand has been mainly based on the consideration of economic variables aiming at explaining the evolution of either tourists’ expenditure or overnight stays or arrivals. This study is based on a collection of both economic variables and non-economic factors surveyed since 1998–2013 for 99 Italian NUTS3 (Nomenclature of Units for Territorial Statistics) regions (provinces). It is the first study in which such a wide array of non-economic and economic variables has been investigated for a panel data at this geographical level by using a simultaneous equations model. The analysis shows that all considered variables are significant for the evolution of tourism demand and that climate, tourism supply and entrepreneurial capabilities have the largest impacts.

Suggested Citation

  • Luca Zamparini & Anna Serena Vergori & Serena Arima, 2017. "Assessing the determinants of local tourism demand," Tourism Economics, , vol. 23(5), pages 981-992, August.
    • Handle: RePEc:sae:toueco:v:23:y:2017:i:5:p:981-992
    DOI: 10.1177/1354816616656423
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    References listed on IDEAS

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    2. Boyang Xu & Daxin Dong, 2020. "Evaluating the Impact of Air Pollution on China’s Inbound Tourism: A Gravity Model Approach," Sustainability, MDPI, vol. 12(4), pages 1-21, February.

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