The current coronavirus disease 2019 pandemic has exposed the sensitivity of tourism- and hospitality-dependent regional economies to external shocks. While the negative impacts of external shocks on these economies have been widely studied, the resiliency of these tourism- and hospitality-dependent regions to recover from such shocks is less well understood. In this study, we model how dependency on tourism and hospitality activity influences regional economic resiliency. Using US county-level resiliency data, we find that, overall, greater dependency reduces rates of resiliency. Allowing for spatial heterogeneity in the underlying relationship, we do find pockets within the United States, where greater dependency enhanced economic resiliency. This latter result suggests that the location and nature of the tourism and hospitality industry matter and blanket generalizations might lead to incorrect policy interpretations.

当前的2019年冠状病毒疾病大流行使依赖旅游和款待的区域经济体对外部冲击的敏感性暴露。尽管已广泛研究了外部冲击对这些经济体的负面影响，但人们对这些依赖于旅游业和酒店业的地区从冲击中恢复的弹性的了解却很少。在本研究中，我们对依赖旅游业和款待活动如何影响区域经济弹性建模。使用美国县级的弹性数据，我们发现，总体而言，较高的依存度会降低弹性率。考虑到基本关系中的空间异质性，我们确实发现了美国内部的一些地方，在这里，更大的依赖性增强了经济弹性。