Modelling tourism flows through gravity models: a quantile regression approach |
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| Authors: | Fabio Gaetano Santeramo Mariangela Morelli |
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| Affiliation: | 1. Department of Agricultural Sciences, the Food and Environment, University of Foggia, Via Napoli 25, 71100 Foggia, Italy;2. Department of Classical Studies, Duke University, Durham, NC, USA |
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| Abstract: | 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. |
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| Keywords: | flows arrivals agritourism gravity PPML quantile regression |
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