This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

La promoción turística espacial dentro de un destino vacacional homogéneo. Una aplicación a Canarias

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
DÁVILA QUINTANA, D. () (Facultad de Ciencias Económicas y Empresariales. Departamento de Métodos Cuantitativos en Economía y Gestión. Campus de Tafira. Universidad de Las Palmas de Gran Canaria.)
RODRÍGUEZ FEIJOÓ, S. (Facultad de Ciencias Económicas y Empresariales. Departamento de Métodos Cuantitativos en Economía y Gestión. Campus de Tafira. Universidad de Las Palmas de Gran Canaria.)
RODRÍGUEZ CARO, A. (Facultad de Ciencias Económicas y Empresariales. Departamento de Métodos Cuantitativos en Economía y Gestión. Campus de Tafira. Universidad de Las Palmas de Gran Canaria.)

Additional information is available for the following registered author(s):

Abstract

La industria turística se ha convertido en una de las principales actividades económicas a nivel mundial y en el soporte de muchas economías regionales. Es por ello que, el conocimiento y la definición de procesos, mediante los cuales estas regiones dispongan de una información más precisa sobre el consumidor del producto turístico que, a su vez, les permita llevar a cabo una ordenación más racional y eficiente del sector, se convierte en esencial para su desarrollo económico y social. En este sentido, en este trabajo se identifican cuáles son las características de los turistas que, de forma conjunta, incrementan la probabilidad de elegir una determinada zona dentro de una región de oferta turística homogénea, como es la que constituyen las Islas Canarias. El conocimiento de estas combinaciones de características, que denominaremos perfiles de actuación promocional, permitirán definir con más precisión las campañas promocionales del destino turístico, tanto en el ámbito institucional como en el empresarial. The tourist industry has become one of the principal sectors in the world economy; it supports many regional economies. These regions have an urgent need for more precise information about the tourists who visit them, in order to order the sector rationally and efficiently and thereby plan their economic and social development. This study identifies tourist characteristics which, as sets or profiles, increase the probability of choosing a particular tourist zone within a region of relatively homogenous tourist offerings, such as the Canary Islands. The knowledge of these combinations of characteristics, which we call marketing profiles, will help draw up more precisely the marketing campaigns of the tourist destination, both for the public and the private sector.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.revista-eea.net
File Format:
File Function:
Download Restriction: Access to full text is restricted to subscribers.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Publisher Info
Article provided by Estudios de Economía Aplicada in its journal Estudios de Economía Aplicada.

Volume (Year): 20 (2002)
Issue (Month): (Abril)
Pages: 45-60
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:lrk:eeaart:20_1_10

Contact details of provider:
Postal: Beatriz Rodríguez Prado. Facultad de CC.EE. y EE. Avda. Valle del Esgueva. Valladolid 47011 SPAIN
Phone: (34) 983 423320
Fax: (34) 983 184568
Web page: http://www.revista-eea.net
More information through EDIRC

Order Information:
Email:
Web: http://www.revista-eea.net

For technical questions regarding this item, or to correct its listing, contact: (Beatriz Rodríguez Prado).

Related research
Keywords: Tourism marketing; multinomial model; space analysis.;

Find related papers by JEL classification:
C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models
L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Recreation; Tourism

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

  1. Witt, Stephen F. & Witt, Christine A., 1995. "Forecasting tourism demand: A review of empirical research," International Journal of Forecasting, Elsevier, vol. 11(3), pages 447-475, September. [Downloadable!] (restricted)
  2. Cramer, J. S. & Ridder, G., 1991. "Pooling states in the multinomial logit model," Journal of Econometrics, Elsevier, vol. 47(2-3), pages 267-272, February. [Downloadable!] (restricted)
  3. Hausman, Jerry & McFadden, Daniel, 1984. "Specification Tests for the Multinomial Logit Model," Econometrica, Econometric Society, vol. 52(5), pages 1219-40, September. [Downloadable!] (restricted)
    Other versions:
  4. Gonzalez, Pilar & Moral, Paz, 1995. "An analysis of the international tourism demand in Spain," International Journal of Forecasting, Elsevier, vol. 11(2), pages 233-251, June. [Downloadable!] (restricted)
Full references

Statistics
Access and download statistics

Did you know? There is a FAQ (frequently asked questions).

This page was last updated on 2009-12-15.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.