Artificial intelligence (AI) interacted ESG-based sustainable tourism

Economic insights

Datos Bibliográficos

ID21689620
AutoresCem Işik (0000-0001-5125-7648, Anadolu University, autor de correspondencia), Hasibul Islam (0000-0002-3242-2502, North South University), Serdar Ongan (0000-0001-9695-3188, University of South Florida), Ayse Sengoz (0000-0002-0311-9141, Akdeniz University), Bilal Usanmaz (0000-0003-0531-4618, Atatürk University)
Año2026
Volumen32
Número4
Páginas748-769
Fecha de publicación2026-06-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaTourism Economics (JOURNAL)
Identificadores de la revistaISSN: 1354-8166 • E-ISSN: 2044-0375
EditorialSAGE Publications (PUBLISHER • US)
DOI10.1177/13548166251346306
OpenAlexW4410833025
IdiomaEN
Citas recibidas8
Referencias citadas55

Tourist activities impact ESG (environmental, social, governance) factors, but a combined metric is lacking in tourism and sustainability literature. This study introduces the ESG/International Tourist Arrivals (ESG/ITA) metric, quantifying environmental burdens per tourist and assessing tourism sustainability. The study employs linear regression techniques, including IV-GMM, and nonlinear methods like panel quantile regression across 27 European countries. It investigates the effects of ESG/ITA and AI-Interacted ESG-Based Sustainable Tourism (ESG/ITA*AI) on real GDP per capita. Findings show that while ESG/ITA negatively affects GDP per capita, incorporating artificial intelligence (AI) enhances its positive influence. Finland and Sweden perform well on ESG/ITA, whereas Germany and France lag on ESG/ITA*AI. The study suggests AI can help balance sustainability and economic performance, offering a valuable tool for policymakers

Business · Economics · Political science · Sustainable tourism · Tourism · Digital Marketing and Social Media · Diverse Aspects of Tourism Research · Sharing Economy and Platforms · Marketing