Aythami Santana-Padrón , Yen E. Lam-González , Javier de León
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引用次数: 0
摘要
小岛屿旅游目的地面临着一个悖论:繁荣取决于旅游业所威胁的自然资产。目前的补偿政策失败的原因是,通过单一阶段的框架,将参与障碍与贡献强度混为一谈,对游客一视同仁。使用来自70,930名加那利群岛游客的陈述偏好数据,具有自举验证的障碍模型将参与(阶段1:互补对数-对数)与贡献强度(阶段2:OLS)在四个补偿水平(旅行支出的<;5%至>;20%)中分开。教育提高了参与率,但降低了贡献强度(- 0.23欧元至-6.63欧元);残差相关性接近于零(ρ = 0.0004, p = 0.955)证实了不同的机制支配着每个阶段。与支出能力相匹配的累进税产生7.704亿欧元,而统一税率产生2.679亿欧元——收入增长188%——将补偿转变为自我融资机制,需要支出代理和机器学习才能全面实施。
Tourist heterogeneity in carbon compensation: A two-stage framework for sustainable island tourism policy
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.