Different tourists to different destinations. Evidence from spatial interaction models
AbstractAs tourism is becoming one of the most important sources of economic growth at the local level, it is imperative to identify and assess the relevant determinants of tourism flows. This paper investigates this issue by carrying out an econometric analysis based on the origin-destination (OD) spatial interaction models, which fully account for the spatial dependence generally featured by tourism flows. We contribute to the current debate by analyzing the tourism flows for the complete set of 107 Italian provinces (11449 OD flows) in terms of 2009 arrivals. Besides geographical distance, the explanatory variables include both pull and push locations’ characteristics to assess their relative role in determining the distinctive traits of emissiveness and attractiveness for all the provinces. We thus consider income, density, accessibility (low-cost flights, transport infrastructure), a set of cultural (museums) and natural (park areas, coasts, well-preserved beaches) factors and other amenities (renowned restaurants). The main results point out that there is a great deal of spatial correlation induced by neighboring provinces at both origin and destination, which is systematically overlooked if one relies only on the gravity specification. Once one controls for such a complex kind of dependence, most of the explanatory variables exhibit the expected effect, with distance and population density showing a negative impact on tourists’ decisions when choosing a specific destination, while amenities, accessibility and income turn out to be effective determinants of tourism flows.
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Bibliographic InfoPaper provided by Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia in its series Working Paper CRENoS with number 201210.
Date of creation: 2012
Date of revision:
spatial origin-destination interaction models; product differentiation; italy; amenities; tourism flows;
Find related papers by JEL classification:
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
- L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Recreation; Tourism
- Q26 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Recreational Aspects of Natural Resources
- R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-05-08 (All new papers)
- NEP-GEO-2012-05-08 (Economic Geography)
- NEP-PBE-2012-05-08 (Public Economics)
- NEP-TUR-2012-05-08 (Tourism Economics)
- NEP-URE-2012-05-08 (Urban & Real Estate Economics)
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