Food Assistance Environments: A Spatial Economic Analysis
dc.contributor.author | Huang, Zixia | |
dc.contributor.chair | Barrett, Christopher | en_US |
dc.contributor.committeeMember | Hoddinott, John | en_US |
dc.date.accessioned | 2024-04-05T18:36:01Z | |
dc.date.available | 2024-04-05T18:36:01Z | |
dc.date.issued | 2023-08 | |
dc.description | 58 pages | en_US |
dc.description.abstract | Food assistance programs (FAPs) distribute benefits through outlets such as food pantries and authorized retailers of the Supplemental Nutrition Assistance Program (SNAP). In this paper, we combine administrative datasets on food pantries and authorized SNAP retailers with a rich set of local socioeconomic indicators and geospatial information to describe the local food assistance environments for six counties in upstate New York. We find census tracts with and without pantries are not significantly different in socioeconomic indicators. While pantries and SNAP retailers are concentrated in urban areas, each pantry has fewer visits in urban areas and the aggregated monthly pantry visits are not significantly different by area urban and rural types. After using the three-category urban and rural classifications from the Census, we document pantry's heterogeneity in various aspects by its urban and rural type. Food pantry-level analysis reveals that monthly food pantry client visits are significantly positively correlated with its distance to the nearest SNAP grocery store but not with other SNAP retailer types. One additional mile driving to the nearest SNAP grocery store from a pantry is, on average, associated with a 13% increase in pantry monthly visit count. These associations are heterogeneous with respect to pantry types. | en_US |
dc.identifier.doi | https://doi.org/10.7298/tyqp-cz27 | |
dc.identifier.other | Huang_cornell_0058O_11935 | |
dc.identifier.other | http://dissertations.umi.com/cornell:11935 | |
dc.identifier.uri | https://hdl.handle.net/1813/114412 | |
dc.language.iso | en | |
dc.title | Food Assistance Environments: A Spatial Economic Analysis | en_US |
dc.type | dissertation or thesis | en_US |
dcterms.license | https://hdl.handle.net/1813/59810.2 | |
thesis.degree.discipline | Applied Economics and Management | |
thesis.degree.grantor | Cornell University | |
thesis.degree.level | Master of Science | |
thesis.degree.name | M.S., Applied Economics and Management |
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