Tourism in China has expanded rapidly in recent decades, intensifying pressure on local ecosystems and raising questions about the balance between economic growth and environmental protection. This study investigates the dynamic interplay between tour...
Tourism in China has expanded rapidly in recent decades, intensifying pressure on local ecosystems and raising questions about the balance between economic growth and environmental protection. This study investigates the dynamic interplay between tourism economic resilience (TER) and tourism ecological efficiency (TEE) across 30 Chinese provinces from 2005 to 2022. We compute TEE using a super–Slack-Based Measure model and derive TER via the entropy weight method. A quantile generalized method of moments analysis reveals that, although both TER and TEE exhibit upward trends and an east-high, west-low spatial pattern, higher resilience significantly suppresses efficiency at upper quantiles. Further panel regressions show that regional GDP growth and urbanization enhance TEE, whereas industrial expansion and trade volume undermine it. These findings underscore the need for region-tailored, low-impact tourism strategies that bolster resilience while safeguarding ecological performance.