Please use this identifier to cite or link to this item: https://accedacris.ulpgc.es/jspui/handle/10553/165474
Title: Hierarchical pattern analysis of tourist environmental compensation: Evidence from the Canary Islands
Authors: Santana Padrón, Aythami Del Cristo 
Díaz Fariña, Eugenio 
Rodríguez Ramos,Andrea 
UNESCO Clasification: 531290 Economía sectorial: turismo
Keywords: Environmental Behaviour
Hierarchical Patterns
Interdependencies
Machine Learning
Sustainability, et al
Issue Date: 2026
Journal: Annals of tourism research empirical insights 
Abstract: This study applies a hierarchical pattern analysis to examine how tourists' carbon offset willingness intersects with behavioural profiles. Using FP-Growth on data from nearly 80,000 visitors to the Canary Islands (2022−2023), it shows that carbon offsetting is shaped not only by environmental values but also by cognitive engagement, planning autonomy, and dependence on mass-tourism infrastructures. The analysis identifies four tourist profiles, from non-compensators with routinized behaviours to highly proactive tourists integrating sustainability into their consumption. The study proposes targeted policies such as opt-out defaults, symbolic eco-incentives, loyalty schemes, and participatory governance. Findings highlight the need for multi-layered sustainability strategies that move beyond binary classifications of environmental commitment.
URI: https://accedacris.ulpgc.es/jspui/handle/10553/165474
DOI: 10.1016/j.annale.2026.100217
Source: Annals of Tourism Research Empirical Insights [EISSN 2666-9579], v. 7 (1), (Mayo 2026)
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