ABSTRACT

This study explores the vulnerability and resilience of the US Leisure and Hospitality industry sector-wise by taking employment levels in seven different business segments. An autoregressive distributed lag (ARDL) model approach was applied to daily time series data of employment and COVID-19 to assess each sector's fragility and resilience. The findings reveal that museums and historical places, performing arts, and sports are the worst influenced sectors and exhibit low resilience. The accommodation sector initially shows high vulnerability; however, it bounces back by showing high resilience compared to some of the other sectors. The rest of the sector presents the same story negatively influenced by pandemic but eventually reveals a sign of recovery. A detailed discussion with the theoretical and practical implications is provided.

摘要

这项研究通过对七个不同业务领域的就业水平进行研究，探索了美国休闲和酒店业的脆弱性和弹性。将自回归分布式滞后（ARDL）模型方法应用于就业和COVID-19的每日时间序列数据，以评估每个部门的脆弱性和弹性。调查结果表明，博物馆和历史古迹，表演艺术和体育运动是受影响最严重的领域，并且弹性较低。住宿行业最初显示出高度脆弱性；但是，与其他一些行业相比，它具有较高的弹性，因此可以反弹。该行业的其余部分也呈现出同样的故事，受到大流行的负面影响，但最终显示出复苏的迹象。提供了具有理论和实践意义的详细讨论。