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An investigation on tourism farms in South Tyrol

Author

Listed:
  • Maria Giovanna Brandano

    (Department of Economics and Business, University of Sassari and CRENOS)

  • Linda Osti

    (Free University of Bolzano‐Bozen, Faculty of Economics and Management)

  • Manuela Pulina

    (Department of Political Sciences (POLCOMING) & CRENoS, University of Sassari)

Abstract

This study is based on data collected at a sample of agritourism located in South Tyrol (Italy). Though a probabilistic modelling, based on a cluster and a PCA it is possible to investigate the determinants that influence the probability to choose one of the two types of agritourism. The results show that motivations related to nature and authenticity positively influence customers’ choice of a farm that engages in the tourism activity. However, perceived negative externalities negatively influence the choice of this type of farms.

Suggested Citation

  • 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.
    • Handle: RePEc:bzn:wpaper:bemps35
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    References listed on IDEAS

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    2. Santeramo, Fabio Gaetano & Barbieri, Carla, 2015. "On the demand for agritourism: a cursory review of methodologies and practice," MPRA Paper 68177, University Library of Munich, Germany.
    3. Fabio Gaetano Santeramo, 2015. "Research Note: Promoting the International Demand for Agritourism: Empirical Evidence from a Dynamic Panel Data Model," Tourism Economics, , vol. 21(4), pages 907-916, August.
    4. Brida, Juan Gabriel & Barquet, Andrea & Risso, Wiston Adrián, 2009. "Causality between Economic Growth and Tourism Expansion: Empirical Evidence from Trentino - Alto Adige," MPRA Paper 25316, University Library of Munich, Germany, revised 14 Dec 2009.
    5. Fabio Gaetano Santeramo & Mariangela Morelli, 2016. "Modelling tourism flows through gravity models: a quantile regression approach," Current Issues in Tourism, Taylor & Francis Journals, vol. 19(11), pages 1077-1083, September.
    6. Tew, Christine & Barbieri, Carla, 2012. "The perceived benefits of agritourism: The provider’s perspective," Tourism Management, Elsevier, vol. 33(1), pages 215-224.
    7. Rosa Manrique & Davide Viaggi & Meri Raggi, 2015. "A Bayesian network highlighting the linkages between landscape structure and the local economy: the case of agritourism in lowland areas of Northern Italy," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 58(12), pages 2137-2158, December.
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    More about this item

    Keywords

    Agritourism; South Tyrol; probabilistic modelling;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • Z32 - Other Special Topics - - Tourism Economics - - - Tourism and Development

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