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Article: Explaining Racial Inequality in Food Security in Columbus, Ohio: A Blinder–Oaxaca Decomposition Analysis

TitleExplaining Racial Inequality in Food Security in Columbus, Ohio: A Blinder–Oaxaca Decomposition Analysis
Authors
Keywordsfood security
food insecurity
race
inequalities
Blinder–Oaxaca decomposition
Issue Date2020
PublisherMolecular Diversity Preservation International. The Journal's web site is located at http://www.mdpi.org/ijerph
Citation
International Journal of Environmental Research and Public Health, 2020, v. 17 n. 15, p. article no. 5488 How to Cite?
AbstractFood insecurity is a leading public health challenge in the United States. In Columbus, Ohio, as in many American cities, there exists a great disparity between Black and White households in relation to food insecurity. This study investigates the degree to which this gap can be attributed to differences in food shopping behavior, neighborhood perception, and socioeconomic characteristics. A Blinder–Oaxaca decomposition method is used to analyze a household survey dataset collected in 2014. We find a 34.2 percent point difference in food security between White and Black households. Variables related to food shopping behavior, neighborhood perception, and socioeconomic characteristics explain 13.8 percent, 11.6 percent, and 63.1 percent of the difference, respectively. These independent variables combined can explain 68.2 percent of the food security gap between White and Black households. Most of this is attributable to socioeconomic variables. Sense of friendship in neighborhood, use of private vehicles, and satisfaction of neighborhood food environment also partially contribute to the food security gap.
Persistent Identifierhttp://hdl.handle.net/10722/289515
ISSN
2019 Impact Factor: 2.849
2023 SCImago Journal Rankings: 0.808
PubMed Central ID
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorKoh, K-
dc.contributor.authorKaiser, ML-
dc.contributor.authorSweeney, G-
dc.contributor.authorSamadi, K-
dc.contributor.authorHyder, A-
dc.date.accessioned2020-10-22T08:13:44Z-
dc.date.available2020-10-22T08:13:44Z-
dc.date.issued2020-
dc.identifier.citationInternational Journal of Environmental Research and Public Health, 2020, v. 17 n. 15, p. article no. 5488-
dc.identifier.issn1661-7827-
dc.identifier.urihttp://hdl.handle.net/10722/289515-
dc.description.abstractFood insecurity is a leading public health challenge in the United States. In Columbus, Ohio, as in many American cities, there exists a great disparity between Black and White households in relation to food insecurity. This study investigates the degree to which this gap can be attributed to differences in food shopping behavior, neighborhood perception, and socioeconomic characteristics. A Blinder–Oaxaca decomposition method is used to analyze a household survey dataset collected in 2014. We find a 34.2 percent point difference in food security between White and Black households. Variables related to food shopping behavior, neighborhood perception, and socioeconomic characteristics explain 13.8 percent, 11.6 percent, and 63.1 percent of the difference, respectively. These independent variables combined can explain 68.2 percent of the food security gap between White and Black households. Most of this is attributable to socioeconomic variables. Sense of friendship in neighborhood, use of private vehicles, and satisfaction of neighborhood food environment also partially contribute to the food security gap.-
dc.languageeng-
dc.publisherMolecular Diversity Preservation International. The Journal's web site is located at http://www.mdpi.org/ijerph-
dc.relation.ispartofInternational Journal of Environmental Research and Public Health-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectfood security-
dc.subjectfood insecurity-
dc.subjectrace-
dc.subjectinequalities-
dc.subjectBlinder–Oaxaca decomposition-
dc.titleExplaining Racial Inequality in Food Security in Columbus, Ohio: A Blinder–Oaxaca Decomposition Analysis-
dc.typeArticle-
dc.identifier.emailKoh, K: peterkoh@hku.hk-
dc.identifier.authorityKoh, K=rp02476-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.3390/ijerph17155488-
dc.identifier.pmid32751387-
dc.identifier.pmcidPMC7432289-
dc.identifier.scopuseid_2-s2.0-85088897932-
dc.identifier.hkuros316808-
dc.identifier.volume17-
dc.identifier.issue15-
dc.identifier.spagearticle no. 5488-
dc.identifier.epagearticle no. 5488-
dc.identifier.isiWOS:000568611000001-
dc.publisher.placeSwitzerland-
dc.identifier.issnl1660-4601-

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