201
Views
0
CrossRef citations to date
0
Altmetric
Articles

A comparison of the early impact of government restriction and risk perception on tourist attraction demand during the COVID-19 pandemic

, , , , , ORCID Icon & ORCID Icon show all
Pages 1286-1303 | Published online: 23 Feb 2023
 

ABSTRACT

By collecting the daily visit data of each 5A scenic spot in China from January 1 to March 31, 2020, this paper adopted a two-way fixed-effects model to calibrate the effects of government restriction and risk perception during the pandemic. Results show that a 1% increase in government restriction level led to a 0.806% decrease in daily tourist attraction demand, while a 1% rise in individuals’ risk perception resulted in a 0.084% decline. The extent of these declines moderated by factors such as GDP, population density, urbanization rate, and attraction type. The implications of these findings are discussed.

Acknowledgments

An earlier version of the manuscript was presented at the 20th APacCHRIE Conference, 23–25 May 2022, Kuala Lumpur, Malaysia, and the abstract in that version appeared in the conference proceedings. The authors would like to thank comments and suggestions from participants in the conference, the editors and anonymous reviewers that improved the paper.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Notes

1 5A tourist attractions are the highest level of tourist attraction certified by the China’s Ministry of Culture and Tourism, followed by certification levels of 4A, 3A, 2A, and A. In 2007, 66 tourist spots were certificated as the first batch of 5A tourist attraction. By August 1, 2020, a total of 280 scenic spots had been certificated as China's National 5A scenic spots. To be certificated as a 5A scenic spot, an attraction needs to meet the criteria that contains transportation, guides, sanitation, safety, tourist arrivals, amenities, management, and so on. See: http://zwgk.mct.gov.cn/zfxxgkml/zcfg/gfxwj/202012/t20201204_906214.html

Additional information

Funding

This work was supported by Ministry of Science and Technology of the People Republic of China: [grant no 2018YFB0505000].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 153.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.