Applying protection motivation theory to understand international tourists’ behavioural intentions under the threat of air pollution
A case of Beijing, China
Bibliographic Data
| ID | 21699033 |
|---|---|
| Authors | Wenjia Jasmine Ruan (0000-0001-8807-3252, Sun Yat-sen University), Wenjia Ruan (Sun Yat-sen University), Sanghoon Kang (0009-0009-2886-7646, Department of Tourism Management, Dong-A University, Seo-gu, Busan, Republic of Korea), Hak Jun Song (0000-0002-0727-6347, Pai Chai University, corresponding author), HakJun Song (Pai Chai University) |
| Year | 2020 |
| Volume | 23 |
| Issue | 16 |
| Pages | 2027-2041 |
| Publication date | 2020-08-17 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Current Issues in Tourism (JOURNAL) |
| Journal identifiers | ISSN: 1368-3500 • E-ISSN: 1747-7603 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/13683500.2020.1743242 |
| OpenAlex | W3012279961 |
| Language | EN |
| Citations received | 64 |
| References cited | 51 |
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
Beijing · Business · China · Geography · Political science · Structural equation modeling · Tourism · Behavioral Health and Interventions · Environmental Education and Sustainability · Environmental Sustainability in Business · Psychology · Social Psychology · Marketing
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| Citations per year | 12.8 |
|---|---|
| Citation span | 2021 - 2026 (6) |
| Highly cited | No |