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Pages 1077-1083 | Received 25 Feb 2015, Accepted 10 May 2015, Published online: 04 Jun 2015
Research Note

Modelling tourism flows through gravity models: a quantile regression approach



Gravity models are widely used to study tourism flows. The peculiarities of the segmented international demand for agritourism in Italy are examined by means of a novel approach: a panel data quantile regression. We characterize the international demand for Italian agritourism with a large data set, by considering data of 33 countries of origin, from 1998 to 2010. Distance and income are the major determinants, but we also found that mutual agreements and high urbanization rates in countries of origin are associated with larger flows of incoming tourists.


1. We are very grateful to an anonymous referee for having provided suggestions that lead to this improvement of our analysis.

2. We have also included the total number of beds in touristic and agritouristic structures. The results are not different; therefore, we have considered only the number of structures for the present analysis.

3. For instance, dwellers of low rural countries, such as those from Belgium and Luxembourg, Australia, Israel, Argentina, UK, Germany, Venezuela, New Zealand, Denmark, Brazil, and Sweden, are more likely to be customers of Italian agritourism. Ceteris paribus, tourists from South Africa, Slovak Republic, Portugal, Slovenia, and China (the most rural countries in our sample) are less likely to choose Italian agritourism for vacation.

4. We are grateful to a referee for having asked to stress this difference.

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