Touristification and retail diversity: theory and evidence

Ka Shing Cheung () and Chung Yim Yiu
Additional contact information
Ka Shing Cheung: The University of Auckland Business School
Chung Yim Yiu: The University of Auckland Business School

Palgrave Communications, 2024, vol. 11, issue 1, 1-12

Abstract: Abstract This study explores the impact of touristification on retail diversity in neighbourhoods, presenting a species-area relationship model to demonstrate how tourism-driven changes can negatively affect local residents by displacing unique local retailers. Empirical regression analysis, using differences-in-difference (DID) models and neighbourhood clustering to define retail areas in Hong Kong, found that tourist-concentrated areas have fewer diverse high-street retailers. The result argues that the trend of touristification, which often leads to a decrease in retail diversity, could undermine the resilience of a tourism destination. This is evidenced by the noticeable downturn in the retail industry seen in many previously over-touristed cities after the pandemic. The findings prompt further research into tourism’s role in changing retail landscapes, particularly in touristified neighbourhoods.

Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1057/s41599-024-03805-9 Abstract (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:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03805-9

Ordering information: This journal article can be ordered from
https://www.nature.com/palcomms/about

DOI: 10.1057/s41599-024-03805-9

Access Statistics for this article

More articles in Palgrave Communications from Palgrave Macmillan
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().