IDEAS home Printed from https://ideas.repec.org/p/cns/cnscwp/201027.html
   My bibliography  Save this paper

Investigating the behavior of embarking cruisers in a Caribbean homeport: a factor and a censured-Tobit analysis

Author

Listed:
  • JG. Brida
  • M. Pulina
  • E. Riaño
  • SZ Aguirre

Abstract

This study analyses embarking cruisers' experience in a homeport. Survey data were collected from passengers that embarked in Cartagena de Indias (Colombia) during the 2009-2010 season. A factor-cluster analysis is developed to segment cruisers identifying the factors that influence their perception and expenditure pattern. Despite the expected total impact for an embarkation port is higher than a port of call, most passengers in Cartagena stay for a short period of time before embarking, hence their contribution to the local economy is rather neglectful. The Tobit analysis has consistently highlighted first time cruisers, with a high education level and belonging to the "long stay cluster" have a higher spending capacity.

Suggested Citation

  • JG. Brida & M. Pulina & E. Riaño & SZ Aguirre, 2010. "Investigating the behavior of embarking cruisers in a Caribbean homeport: a factor and a censured-Tobit analysis," Working Paper CRENoS 201027, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
  • Handle: RePEc:cns:cnscwp:201027
    as

    Download full text from publisher

    File URL: https://crenos.unica.it/crenos/node/3046
    Download Restriction: no

    File URL: https://crenos.unica.it/crenos/sites/default/files/WP10-27.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    cruise tourism; homeport; factor analysis; censured-tobit;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Other

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cns:cnscwp:201027. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CRENoS (email available below). General contact details of provider: https://edirc.repec.org/data/crenoit.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.