Adaptation to technological and environmental shifts in tourism: How AI and green technologies drive stock returns?

Abstract

This paper explores the asymmetric effect of artificial intelligence, green technology innovation, and energy transition on tourism stocks using the Quantile-on-Quantile method. The findings reveal that AI adversely impacts tourism stocks in the short-run yet substantially improves them in the long-runs. Likewise, green technology and energy transition exhibit initial adverse effects that subsequently become beneficial, underscoring their long-term advantages. The study provides practical implications for tourism companies, hotel managers, and investors regarding the role of artificial intelligence and green innovations in promoting tourism stocks.