63
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Analysing preference heterogeneity and willingness to pay for nature-based tourism activities in Gran Canaria for young Germans

&
Received 13 Oct 2023, Accepted 27 Feb 2024, Published online: 11 Mar 2024
 

ABSTRACT

This paper examines the heterogeneity in preferences and willingness to pay for various nature-based tourism activities that can be carried out in natural areas on Gran Canaria Island (Spain). A discrete choice experiment is designed to obtain information about potential visitors’ preferences in a set of hypothetical scenarios involving various activity packages created by combining the levels of the attributes according to an efficient design. Collected information is used to estimate a Mixed Logit model which will allow us to evaluate random and systematic heterogeneity in preferences. A key finding of the research emanates from obtaining individual-specific parameters to calculate not only the willingness to pay for the various activities but also the amount that could guide a potential compensation when undesired activities are included in the package. Results provide interesting managerial tools that can be used by tourism entrepreneurs to promote nature-based tourism products in the area.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 342.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.