He Ling-Yang, Li Hui, Bi Jian-Wu, Yang Jing-Jing, Zhou Qing
College of Tourism and Service Management, Nankai University, Tianjin 300350, China.
Macao Institute for Tourism Studies, Colina de Mong-Há, Macau 999078, China.
Ann Tour Res. 2022 May;94:103402. doi: 10.1016/j.annals.2022.103402. Epub 2022 Apr 12.
This paper proposes a new foresight approach to estimate the impact of public health emergencies on hotel demand. The forecasting-based influence evaluation consists of four modules: decomposing hotel demand before an emergency, matching each decomposed component to a forecasting model, combining the predictions as the expected demand after the emergency, and estimating the impact by comparing actual demand against that predicted. The method is applied to analyze the impact of COVID-19 on Macao's hotel industry. The empirical results show that: 1) the new approach accurately estimates COVID-19's impact on hotel demand; 2) the seasonal and industry development components contribute significantly to the estimate of expected demand; 3) COVID-19's impact is heterogeneous across hotel services.
本文提出了一种新的前瞻性方法,以估计突发公共卫生事件对酒店需求的影响。基于预测的影响评估包括四个模块:分解突发事件前的酒店需求,将每个分解后的组成部分与一个预测模型相匹配,将预测结果合并作为突发事件后的预期需求,并通过将实际需求与预测需求进行比较来估计影响。该方法被应用于分析新冠疫情对澳门酒店业的影响。实证结果表明:1)新方法准确估计了新冠疫情对酒店需求的影响;2)季节性和行业发展因素对预期需求的估计有显著贡献;3)新冠疫情对酒店服务的影响存在异质性。