Neighborhood Food Accessibility and Health Disparity: Examining the Impact of COVID-19 Using Spatial Models

Sung Eun Sally Oh, Daeyoung Kwon and Brian H. S. Kim

International Regional Science Review, 2024, vol. 47, issue 4, 443-474

Abstract: COVID-19 exacerbated food system vulnerabilities globally. This study assesses the impact of shock events on food accessibility in New York City (NYC) by examining its association with neighborhood characteristics between 2019 and 2020. We model food accessibility using socioeconomic and built environment factors, adjusting for spatial effects with spatial econometric models and geographically weighted regression (GWR). Our spatial modeling methods reveal diverging relationships between minority racial/ethnic groups and food accessibility, as well as a negative change in the effect of income. Overall, our results indicate that food accessibility worsened or polarized during the pandemic, suggesting the need for improved network connectivity and smaller-scale food stores to achieve equitable and resilient food systems.

Keywords: food accessibility; health disparity; COVID-19; spatial modeling; local spillover effects; R23; I14 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:sae:inrsre:v:47:y:2024:i:4:p:443-474

DOI: 10.1177/01600176231214205

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