Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Remedying food policy invisibility with spatial intersectionality: A case study in the Detroit Metropolitan Area

Jang, Seongsoo and Kim, Jinwon 2018. Remedying food policy invisibility with spatial intersectionality: A case study in the Detroit Metropolitan Area. Journal of Public Policy and Marketing 37 (1) , pp. 167-187. 10.1509/jppm.16.194

[img]
Preview
PDF - Published Version
Download (1MB) | Preview

Abstract

This study examines the intersectionality of race/ethnicity and poverty in terms of geographic access to 2,635 food stores of three types (supermarkets, grocery stores, and convenience stores) in the tricounty Detroit metropolitan area (DMA). Prior research not only lacks an intersectional view of sociodemographic categories in explicating food store access, but it also fails to provide place-based policies to remedy food policy invisibility. The authors explore whether spatial dependencies among food stores exist and whether these are linked to sociodemographic heterogeneity in the DMA. Food stores are clustered across suburban and rural areas surrounding urban boundaries but are less clustered in the inner city. Poor neighborhoods have varying access to different types of food stores depending on the predominant racial/ethnic composition of the neighborhood. This research can assist policy makers in implementing place-based food interventions and policies, especially attracting new supermarkets and grocery stores to the urban DMA.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Business (Including Economics)
Publisher: American Marketing Association
ISSN: 0743-9156
Date of First Compliant Deposit: 18 May 2018
Last Modified: 19 Jul 2019 14:32
URI: http://orca.cf.ac.uk/id/eprint/111445

Citation Data

Cited 6 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics