This analysis uncovers varying relationships between CO2 emissions, GDP, and tourism in global destinations, suggesting needed policy adaptations.
This study applies wavelet quantile correlation (WQC) analysis to examine relationships between CO 2 emissions, GDP, and tourism across 10 major tourist destinations. Findings demonstrate that these relationships vary significantly across countries, quantiles, and time scales. Rapidly industrializing economies (China, Turkey, Mexico, and Thailand) maintain strong positive correlations between GDP and emissions throughout all periods, with tourism exacerbating environmental pressures long‐term. Advanced economies (France, UK, and Germany) successfully decouple economic growth from emissions, exhibiting negative correlations, with tourism's environmental impact improving over time. Diversified economies (USA, Spain, and Italy) show non‐linear relationships, reflecting their transitional stage. The research indicates that sustainable development requires context‐specific policy approaches, with different strategies needed at various economic development stages to balance tourism's economic benefits with environmental costs.
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Wang et al. (2026) studied this question.
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