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Wave by Wave, Quantile by Quantile

Unmasking the Tourism‐Carbon‐Growth Nexus in Global Tourism Powerhouses

Bibliographic Data

ID21604792
AuthorsC M Wang (0000-0002-6804-8145, Department of International Business Ming Chuan University Taipei Taiwan, corresponding author), Tsung‐Pao Wu (Faculty of Social Science Beijing Institute of Technology Zhuhai China)
Year2026
Publication date2026-03-25
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSustainable Development (JOURNAL)
Journal identifiersISSN: 0968-0802 • E-ISSN: 1099-1719
PublisherWiley (PUBLISHER • GB)
DOI10.1002/sd.70997
OpenAlexW7140285394
LanguageEN
Citations received1
References cited62

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

Panel data · Quantile · Sustainability · Sustainable development · Sustainable tourism · Tourism · COVID-19 impact on air quality · Diverse Aspects of Tourism Research · Energy, Environment, Economic Growth

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Unique citing works1
Citations per year1
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 1
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