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El turismo de cruceros en Uruguay: determinantes socioeconómicos y comportamentales del gasto en los puertos de desembarco

Author

Listed:
  • Alicia Bellani
  • Juan Gabriel Brida
  • Bibiana Lanzilotta

Abstract

In Uruguay, as in other Latin American countries, cruise tourism has increase its importance as a source of foreign exchange. In order to contribute to the planning of tourism programs and intensify this trend, this paper analyses the socioeconomic, satisfaction and behavioural determinants of cruise passengers at landing ports. Results from Heckman’s selection models applied on surveys from 2010 to 2014 show that only a few characteristics determine the level of spending: the Brazilian nationality, travel in groups, visiting Montevideo and being satisfied with the trip. This pattern has not had significant variations in the period.

Suggested Citation

  • Alicia Bellani & Juan Gabriel Brida & Bibiana Lanzilotta, 2017. "El turismo de cruceros en Uruguay: determinantes socioeconómicos y comportamentales del gasto en los puertos de desembarco," Revista de Economía del Rosario, Universidad del Rosario, vol. 20(1), pages 71-95, June.
    • Handle: RePEc:col:000151:017956
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    File URL: https://revistas.urosario.edu.co/index.php/economia/article/view/6149
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    Citations

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    Cited by:

    1. José Francisco Baños Pino & Beatriz Tovar, 2019. "Explaining cruisers’ shore expenditure through a latent class tobit model: Evidence from the Canary Islands," Tourism Economics, , vol. 25(7), pages 1105-1133, November.
    2. José-Pablo Abeal-Vázquez & Sarah Louise Moss & Andrea Teira-Fachado, 2024. "The Impact of Cruise Product Consumption Phases on Cruise Passenger Spending in a Non-Overnight Stay Port: Implications for Destination Managers," Tourism and Hospitality, MDPI, vol. 5(4), pages 1-17, November.

    More about this item

    Keywords

    Cruise passengers spending; Uruguay; Heckit;
    All these keywords.

    JEL classification:

    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

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