Intervention analysis of SARS on Japanese tourism demand for Taiwan

Abstract

International tourism, Tourists, Outbreak, Impact, Intervention model,

Hospitality and tourism industry amid COVID-19 pandemic: Perspectives on challenges and learnings from India

“… Canada AlBattat & MatSom (2014) Various Health Crises Disaster planning and recovery in Malaysian hospitality sector Considered disaster life cycle to conclude higher reactiveness than pro-activeness in preparations. Malaysia Min et al (2011) SARS SARS impact on Taiwan's tourism inflow from Japan Time Series intervention modelling confirmed sharp decrease in Japanese tourist movement to Taiwan for almost a year. Taiwan Barrows et al (1996) AIDS AIDS impact on education system in the US Presented status of AIDS among the hospitality workforce and formulated policies and necessary education to overcome challenge.…”

Double down: economic downturn and increased competition impacts on casino gaming and employment

“…Many hospitality-related studies used this methods to examine and measure impact of exogenous events. For example, Zheng et al (2013) examined the impact of the 2007 recession on US restaurant stocks using ARIMA with intervention analysis; Zheng (2014) also used this method to measure the changes of weekly US RevPar during the 2007 recession; and Ming et al (2011) analyzed the impact of SARS outbreak on Japanese tourism demand for Taiwan. In fact, ARIMA with intervention analysis is the only technique that can be used to test and measure the impact of an event on a time series, and it has been proven effective.…”

The swine flu and its impacts on tourism in Brunei

“…Page, Song, and Wu (2012) also evaluated the impacts of the global economic crisis and swine flu on inbound tourism demand in the United Kingdom using the ITSA model. Many other authors (including Min, Lim, & Kung, 2011;Hultkrautz & Olsson, 1997;AlBattat, Mat Som, Ghaderi, & Abukhalifeh, 2013;Kim & Jun 2016;Tung & Chao, 2011;Baker, 2014;Aboagye-Sarfo et al, 2016;Wu & Hayashi, 2014;Nor et al, 2016;Mihalic, Kester, & Dwyer, 2013;Peng, Song, & Crouch, 2014;and Smeral, 2010) have also used the ARIMA and ITSA techniques for modelling and forecasting tourism demand.…”