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Modeling tourism flows through gravity models: A quantile regression approach

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  • Santeramo, Fabio Gaetano
  • Morelli, Mariangela

Abstract

Gravity models are widely used to study tourism flows. The peculiarities of the segmented international demand for agritourism in Italy is examined by means of novel approach: a panel data quantile regression. We characterize the international demand for Italian agritourism with a large dataset, by considering data of thirty-three countries of origin, from 1998 to 2010. Distance and income are 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.

Suggested Citation

  • Santeramo, Fabio Gaetano & Morelli, Mariangela, 2015. "Modeling tourism flows through gravity models: A quantile regression approach," MPRA Paper 64446, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:64446
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    References listed on IDEAS

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    Cited by:

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    2. de Frutos, Pablo & Rodríguez-Prado, Beatriz & Latorre, Joaquín & Martínez-Peña, Fernando, 2019. "Environmental valuation and management of wild edible mushroom picking in Spain," Forest Policy and Economics, Elsevier, vol. 100(C), pages 177-187.
    3. Vincent Dropsy & Christian Montet & Bernard Poirine, 2020. "Tourism, insularity, and remoteness: A gravity-based approach," Tourism Economics, , vol. 26(5), pages 792-808, August.
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    5. Rosa Maria Fanelli & Luca Romagnoli, 2020. "Customer Satisfaction with Farmhouse Facilities and Its Implications for the Promotion of Agritourism Resources in Italian Municipalities," Sustainability, MDPI, Open Access Journal, vol. 12(5), pages 1-21, February.
    6. José-Manuel Sánchez-Martín & José-Luis Gurría-Gascón & Juan-Ignacio Rengifo-Gallego, 2020. "The Distribution of Rural Accommodation in Extremadura, Spain-between the Randomness and the Suitability Achieved by Means of Regression Models (OLS vs. GWR)," Sustainability, MDPI, Open Access Journal, vol. 12(11), pages 1-29, June.
    7. Boyang Xu & Daxin Dong, 2020. "Evaluating the Impact of Air Pollution on China’s Inbound Tourism: A Gravity Model Approach," Sustainability, MDPI, Open Access Journal, vol. 12(4), pages 1-21, February.
    8. Santeramo, Fabio Gaetano & Morelli, Mariangela, 2015. "Enhancing the foreign demand for agritourism," Politica Agricola Internazionale - International Agricultural Policy, Edizioni L'Informatore Agrario, issue 2, pages 1-10, October.
    9. Maria Giovanna Brandano & Linda Osti & Manuela Pulina, 2016. "An investigation on tourism farms in South Tyrol," BEMPS - Bozen Economics & Management Paper Series BEMPS35, Faculty of Economics and Management at the Free University of Bozen.
    10. Christiana Manu, 2021. "The Impact of Trade Agreement on Agricultural Trade Flow in West Africa," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 13(1), pages 1-89, January.
    11. de Frutos, Pablo & Rodriguez-Prado, Beatriz & Latorre, Joaquín & Martinez-Peña, Fernando, 2019. "A Gravity Model to Explain Flows of Wild Edible Mushroom Picking. A Panel Data Analysis," Ecological Economics, Elsevier, vol. 156(C), pages 164-173.

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    More about this item

    Keywords

    Flows; Arrivals; Agritourism; Gravity; PPML; Quantile Regression;
    All these keywords.

    JEL classification:

    • F22 - International Economics - - International Factor Movements and International Business - - - International Migration
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy
    • Q19 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Other
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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