VTechWorks staff will be away for the Independence Day holiday from July 4-7. We will respond to email inquiries on Monday, July 8. Thank you for your patience.
 

Public responses to COVID-19 case disclosure and their spatial implications

dc.contributor.authorLee, Kwan Oken
dc.contributor.authorLee, Hyojungen
dc.date.accessioned2021-11-24T14:12:21Zen
dc.date.available2021-11-24T14:12:21Zen
dc.date.issued2021-10-25en
dc.description.abstractWe study how the public changes their mobility and retail spending patterns as precautionary responses to the disclosed location of COVID-19 cases. To look into the underlying mechanisms, we investigate how such change varies spatially and whether there is any spatial spillover or substitution. We use the daily data of cell phone-based mobility and credit card transactions between February 10 and May 31 in both 2019 and 2020 in Seoul, South Korea, and employ the empirical approach analyzing the year-over-year percent change for the mobility and consumption outcomes. Results report that one additional COVID-19 case within the last 14 days decreased nonresident inflow and retail spending by 0.40 and 0.65 percentage points, respectively. Then, we also find evidence of spatial heterogeneity: the mobility and retail performances of neighborhoods with higher residential population density were more resilient to COVID-19 case information while neighborhoods with higher levels of land-use diversity and retail agglomeration experienced a greater localized demand shock. This heterogeneity is not negligible. For example, one additional COVID-19 case in neighborhoods in the bottom 20% for population density led to a decline of 1.2 percentage points in retail spending, while other neighborhoods experienced a less negative impact. Finally, we find a significant spatial spillover effect of disclosed COVID-19 information instead of spatial substitution. One additional COVID-19 case in geographically adjacent areas within the last 14 days reduced nonresident inflow and retail spending in the subject neighborhood by 0.06 and 0.09 percentage points, respectively.en
dc.description.notesSingapore Ministry of Education AcRF Tier 1 fund; National University of Singapore, Grant/Award Number: R-297-000-146-115en
dc.description.sponsorshipSingapore Ministry of Education AcRF Tier 1 fund; National University of SingaporeNational University of Singapore [R-297-000-146-115]en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1111/jors.12571en
dc.identifier.eissn1467-9787en
dc.identifier.issn0022-4146en
dc.identifier.urihttp://hdl.handle.net/10919/106733en
dc.language.isoenen
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectCOVID-19en
dc.subjectlocation disclosureen
dc.subjectneighborhood spilloveren
dc.subjectprecautionary behavioren
dc.subjectspatial heterogeneityen
dc.titlePublic responses to COVID-19 case disclosure and their spatial implicationsen
dc.title.serialJournal of Regional Scienceen
dc.typeArticle - Refereeden
dc.type.dcmitypetexten

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
jors.12571.pdf
Size:
1.82 MB
Format:
Adobe Portable Document Format
Description:
Published version