Food deserts and location economics
Donald Vitaliano
SN Business & Economics, 2022, vol. 2, issue 2, 1-15
Abstract:
Abstract People who must travel more than one mile to purchase fresh and healthy food are defined by the US Department of Agriculture as living in a ‘food desert’. An extensive literature has evolved on the subject, but it lacks an economic model or empirical evidence to explain food deserts. This paper estimates an economic location model to explain the occurrence of 4066 ‘food desert’ census tracts in 363 urban areas. The model determines the radius of a circular market area of the smallest profitable supermarket in each area, based on shoppers’ travel cost, household food purchases, and supermarket fixed costs. The model parameters are estimated for each urban area, and the mean radius is 3.25 miles, which suggests the present food deserts one mile definition is not well-grounded since the average distance in a circular market is 2/3 its radius. The number of food desert census tracts is very sensitive to the market size radius of the smallest supermarkets, with an elasticity of − 4.17, and the presence of a Walmart increases the count of food deserts by 20.
JEL-codes: D12 I3 L81 R32 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s43546-021-00183-1 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
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:spr:snbeco:v:2:y:2022:i:2:d:10.1007_s43546-021-00183-1
Ordering information: This journal article can be ordered from
https://www.springer.com/journal/43546
DOI: 10.1007/s43546-021-00183-1
Access Statistics for this article
SN Business & Economics is currently edited by Gino D'Oca
More articles in SN Business & Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().