Exploring the Tourism Effects in Sal Island, Cape Verde: A Combined Analysis of Clusters and Predictive Models
DOI:
https://doi.org/10.25145/j.pasos.2026.24.044Keywords:
residents' perceptions, tourism effects, tourism development, cluster analysis, predictive models, island destinations, Cape Verde, Sal Island, tourism sustainability, resident segmentationAbstract
Residents represent a fundamental stakeholder group in tourism development, including in insular destinations. The purpose of this study was to investigate residents' perceptions of tourism on Sal Island, Cape Verde, using cluster analysis and predictive modelling. To achieve this aim, the 210 respondents participating in the study were divided into two clusters: Optimists and Moderately Optimistic. The predictive model revealed that residents with basic education or no formal education are significantly more likely to support tourism growth, contrary to findings reported in previous literature. Limitations include statistical outliers in the age variable and the use of non-probability snowball sampling. Practical contributions highlight the need for tourism strategies and communication campaigns tailored to the specific perceptions of distinct resident segments. Theoretically, the study innovates by combining cluster analysis with predictive models and by challenging existing generalisations regarding the influence of education and gender, emphasising the importance of contextual specificities in island destinations.
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