Residents’ Support for Tourism Amidst the COVID-19 Era: An Application of Social Amplification of Risk Framework and Knowledge, Attitudes, and Practices Theory
Ke Shen and
Jian Yang
Additional contact information
Ke Shen: School of Tourism, Huangshan University, Huangshan 245041, China
Jian Yang: School of Journalism and Communication, Guangzhou University, Guangzhou 510006, China
IJERPH, 2022, vol. 19, issue 6, 1-17
Abstract:
Given that the concept of risk perception stems primarily from consumer behaviour, tourism research has tended to address the issue from tourists’ perspective, resulting in a lack of consideration of destination residents’ risk perception and its impact on their attitudes and subsequent behaviour. Based on the social amplification of risk framework (SARF) and the knowledge, attitudes, and practices (KAP) theory, this study constructed a theoretical model to deepen the understanding of destination residents’ support for tourism. Results indicate that residents’ social media use, knowledge of COVID-19 and attitudes to tourism and tourists are all positively related to their support for tourism. Furthermore, residents’ risk perception is negatively associated with their attitudes to tourism, attitudes to tourists and support for tourism. However, the relationship between residents’ social media use and risk perception was not confirmed. Theoretical and managerial implications were discussed.
Keywords: residents’ support for tourism; SARF; KAP theory; risk perception (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)
Downloads: (external link)
https://www.mdpi.com/1660-4601/19/6/3736/pdf (application/pdf)
https://www.mdpi.com/1660-4601/19/6/3736/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:19:y:2022:i:6:p:3736-:d:776251
Access Statistics for this article
IJERPH is currently edited by Ms. Jenna Liu
More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().