Please use this identifier to cite or link to this item: https://accedacris.ulpgc.es/jspui/handle/10553/167716
Title: Tourist heterogeneity in carbon compensation: a two-stage framework for sustainable island tourism policy
Authors: Santana Padrón, Aythami Del Cristo 
Lam González, Yen Elízabeth 
De León Ledesma, Javier 
UNESCO Clasification: 531290 Economía sectorial: turismo
Keywords: Carbon Compensation
Island Destinations
Progressive Taxation
Tourist Heterogeneity
Willingness To Pay
Issue Date: 2026
Project: Project PID2023-152064OB-I00 from the Ministerio de Ciencia, Innovación y Uni versidades and the Agencia Estatal de Investigación (MICIU/AEI/10.130 39/501100011033), co-funded by the European Regional Development Fund (FEDER), European Union
Erasmus+ Cooperation Partnerships project “Green Skills for Sustainable Tourism – GREENTOUR.”
Journal: Annals of tourism research empirical insights 
Abstract: Small island tourism destinations face a paradox: prosperity depends on the natural assets that tourism threatens. Current compensation policies fail by treating tourists identically through single-stage frameworks that conflate participation barriers with contribution intensity. Using stated preference data from 70,930 Canary Islands tourists, hurdle models with bootstrap validation separate participation (Stage 1: complementary log-log) from contribution intensity (Stage 2: OLS) across four compensation levels (<5% to >20% of trip expenditure). Education increases participation yet reduces contribution intensity (€ − 0.23 to €-6.63); near-zero residual correlation (ρ = 0.0004, p = 0.955) confirms distinct mechanisms govern each stage. Progressive taxation aligned with spending capacity generates €770.4 M versus €267.9 M from flat rates—a 188% revenue increase—transforming compensation into a self-financing mechanism requiring expenditure proxies and machine learning for full implementation.
URI: https://accedacris.ulpgc.es/jspui/handle/10553/167716
ISSN: 2666-9579
DOI: 10.1016/j.annale.2026.100222
Source: Annals of Tourism Research Empirical Insights[EISSN 2666-9579],v. 7 (1), (Mayo 2026)
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