Artificial intelligence (AI) interacted ESG-based sustainable tourism: Economic insights

IŞIK C., Islam H., Ongan S., Sengoz A., USANMAZ B.

TOURISM ECONOMICS, 2025 (SSCI) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Basım Tarihi: 2025
  • Doi Numarası: 10.1177/13548166251346306
  • Dergi Adı: TOURISM ECONOMICS
  • Derginin Tarandığı İndeksler: Social Sciences Citation Index (SSCI), Scopus, International Bibliography of Social Sciences, ABI/INFORM, CAB Abstracts, EconLit, Geobase, Hospitality & Tourism Complete, Hospitality & Tourism Index, DIALNET
  • Anadolu Üniversitesi Adresli: Evet

Özet

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.