Assessing the determinants of local tourism demand

Luca Zamparini, Anna Serena Vergori and Serena Arima
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Luca Zamparini: University of Salento, Italy
Anna Serena Vergori: University of Salento, Italy
Serena Arima: Sapienza University of Rome, Italy

Tourism Economics, 2017, vol. 23, issue 5, 981-992

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.

Keywords: economic variables; non-economic factors; overnight stays; simultaneous equations model; two-step least squares (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:sae:toueco:v:23:y:2017:i:5:p:981-992

DOI: 10.1177/1354816616656423

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