北京
结构方程建模
旅游
政府(语言学)
中国
背景(考古学)
脆弱性(计算)
心理学
业务
营销
社会心理学
政治学
地理
法学
语言学
统计
哲学
数学
计算机安全
考古
计算机科学
作者
Wenjia Jasmine Ruan,Sanghoon Kang,Hak Jun Song
标识
DOI:10.1080/13683500.2020.1743242
摘要
Air pollution represents a major concern for the tourism industry worldwide; however, few studies have investigated the influence of smog pollution on international tourists' behavioural intentions. Protection motivation theory was taken as the theoretical foundation of this study, and 'perceived government support' was integrated as a new construct into the research model. Using data collected from international tourists visiting Beijing, China, structural equation modelling was employed to identify significant variables that could predict and explain international tourists' protective behavioural intentions. Results reveal that severity, vulnerability, response efficacy, and self-efficacy significantly and positively influenced protective behavioural intention, whereas perceived government support exerted a significant and negative effect. Among significant and positive variables, the influence of the severity of threat appraisal was largest. Based on these findings, theoretical and practical implications related to protection motivation theory are discussed in a tourism context.
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