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Cited by 849

The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.

A Community-Based Tourism Model: Its Conception and Use

Okazaki, Etsuko·2008·Journal of Sustainable Tourism

Abstract

Community participation in the tourism planning process is advocated as a way of implementing sustainable tourism. There are, however, few studies that detail tangible and practical ways to promote or measure participation. This paper reviews the principal theories used to discuss community participation, including the ‘ladder of citizen participation’, power redistribution, collaboration processes and social capital creation. These theories form the basis for defining a community-based tourism (CBT) model. The paper shows how this model can be used to assess participation levels in a study site, and suggests further actions required. The model is applied in a case study in Palawan, the Philippines, where an indigenous community previously initiated a community-based ecotourism project. The project resulted in a number of problems, including conflicts with non-indigenous stakeholders. The model identifies the current situation of the project and provides suggestions for improvement.

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Metadata

Authors
Okazaki, E.
Venue
Journal of Sustainable Tourism
Published
2008-09-08
Volume
16
Issue
5
Pages
511-529
ISSN
  • 0966-9582 (ISSN-L)
  • 1747-7646
OpenAlex
W2086644608
Cited by
849
References
26
FWCI
41.82
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Community-Based Tourism Model: Its Conception and Use. https://app.cochat.ai/papers/10.1080/09669580802159594
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Okazaki, E. (2008). A Community-Based Tourism Model: Its Conception and Use. Journal of Sustainable Tourism. https://doi.org/10.1080/09669580802159594

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.