Abstract
The article takes an innovative approach by longitudinally assessing the impact of the pandemic on hotel occupancy in key Mexican tourist destinations. Its solid quantitative methodology, through statistical comparisons before and after the crisis by season, denotes a rigorous scientific approach. The segmentation of destinations by cluster analysis according to post-pandemic recovery is a valuable contribution. The empirical findings provide deep insight into the resilience of destinations. It highlights the importance of diversifying sources of demand and strengthening human and social capital in the face of disruptive events. The study will set methodological precedents for future research given its replicability. Its modeling of the interaction between government policies and market response provides useful perspectives on public-private sector dynamics. The solid analytical basis will facilitate designing differentiated strategies to boost the sector's recovery. The recommendation to implement tourism intelligence systems denotes visionary public policy. In conclusion, this doctoral work exemplifies a holistic and innovative approach to a phenomenon of global interest.
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