Research into the Competitiveness of Scenic Areas from the Perspective of Tourists: A Case Study of the Jiuzhai Valley

Zhu Cheng, Maozhu Jin and Qijie Jiang

Emerging Markets Finance and Trade, 2021, vol. 57, issue 5, 1349-1357

Abstract: This paper examines empirical evidence on the causal relationship among tourists’ personalities, external stimuli, personal sentiments, and willingness to visit a tourist destination. First, we built a decision-making model, which consists of four latent constructs and four path hypotheses, based on classical conditioning, or the S-O-R (stimulus-organism-response) theory, in behavioral phycology. Then we obtained 600 valid questionnaires from tourists in the Jiuzhai Valley. Data were analyzed using structural equation modeling to examine the conceptual model and research hypotheses. We found that negative reports or opinions about a scenic area discourage potential tourists from going there in the future; beautiful scenery, a unique ecosystem, and unique or unusual customs at tourist destinations encourage tourists to visit; tourists often assessed the management ability of relevant organizations and the information technology functionality when making decisions to travel to a scenic area. Research on the competitiveness of scenic areas from the perspective of tourists contributes to a better understanding of the shortcomings of some scenic areas. This paper discussed some managerial implications for planning and additional development of scenic tourist destinations.

Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1080/1540496X.2019.1672530 (text/html)
Access to full text is restricted to subscribers.

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:mes:emfitr:v:57:y:2021:i:5:p:1349-1357

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/MREE20

DOI: 10.1080/1540496X.2019.1672530

Access Statistics for this article

More articles in Emerging Markets Finance and Trade from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().