IDEAS home Printed from https://ideas.repec.org/a/sae/inrsre/v47y2024i4p443-474.html
   My bibliography  Save this article

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

Author

Listed:
  • Sung Eun Sally Oh
  • Daeyoung Kwon
  • Brian H. S. Kim

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.

Suggested Citation

  • Sung Eun Sally Oh & Daeyoung Kwon & Brian H. S. Kim, 2024. "Neighborhood Food Accessibility and Health Disparity: Examining the Impact of COVID-19 Using Spatial Models," International Regional Science Review, , vol. 47(4), pages 443-474, July.
  • Handle: RePEc:sae:inrsre:v:47:y:2024:i:4:p:443-474
    DOI: 10.1177/01600176231214205
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/01600176231214205
    Download Restriction: no

    File URL: https://libkey.io/10.1177/01600176231214205?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Moore, L.V. & Diez Roux, A.V., 2006. "Associations of neighborhood characteristics with the location and type of food stores," American Journal of Public Health, American Public Health Association, vol. 96(2), pages 325-331.
    2. Oshan, Taylor M. & Smith, Jordan & Fotheringham, Alexander Stewart, 2020. "Targeting the spatial context of obesity determinants via multiscale geographically weighted regression," OSF Preprints u7j29, Center for Open Science.
    3. Ghirardelli, A. & Quinn, V. & Foerster, S.B., 2010. "Using geographic information systems and local food store data in California's low-income neighborhoods to inform community initiatives and resources," American Journal of Public Health, American Public Health Association, vol. 100(11), pages 2156-2162.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dorceta E. Taylor & Katherine Allison & Tevin Hamilton & Ashley Bell, 2023. "Race, Socioeconomic Status, and Food Access in Two Predominantly White Cities: The Case of Lansing, East Lansing, and Surrounding Townships in Michigan," Sustainability, MDPI, vol. 15(20), pages 1-49, October.
    2. Dorceta E. Taylor & Ashley Bell & Destiny Treloar & Ashia Ajani & Marco Alvarez & Tevin Hamilton & Jayson Velazquez & Pwintphyu Nandar & Lily Fillwalk & Kerry J. Ard, 2024. "Defying the Food Desert, Food Swamp, and Supermarket Redlining Stereotypes in Detroit: Comparing the Distribution of Food Outlets in 2013 and 2023," Sustainability, MDPI, vol. 16(16), pages 1-59, August.
    3. Chen, Duan-Rung & Wen, Tzai-Hung, 2010. "Socio-spatial patterns of neighborhood effects on adult obesity in Taiwan: A multi-level model," Social Science & Medicine, Elsevier, vol. 70(6), pages 823-833, March.
    4. Chen, Susan E. & Liu, Jing & Binkley, James K., 2012. "An Exploration of the Relationship Between Income and Eating Behavior," Agricultural and Resource Economics Review, Cambridge University Press, vol. 41(1), pages 82-91, April.
    5. Taylor M. Oshan & Levi J. Wolf & Mehak Sachdeva & Sarah Bardin & A. Stewart Fotheringham, 2022. "A scoping review on the multiplicity of scale in spatial analysis," Journal of Geographical Systems, Springer, vol. 24(3), pages 293-324, July.
    6. Oshan, Taylor M., 2022. "Navigating the methodological landscape in spatial analysis: a comment on ‘A Route Map for Successful Applications of Geographically-Weighted Regression’," OSF Preprints rckzj, Center for Open Science.
    7. Dwayne Marshall Baker, 2024. "Burden or benefit: Is retail marijuana facility siting influenced by LULU- or gentrification-related neighbourhood characteristics?," Urban Studies, Urban Studies Journal Limited, vol. 61(6), pages 1049-1070, May.
    8. Annie Goyanes & Jeffrey Matthew Hoch, 2021. "Using Ecological Diversity Analyses to Characterize the Availability of Healthy Food and Socio-Economic Food Deserts," IJERPH, MDPI, vol. 18(19), pages 1-10, September.
    9. Campbell, Jeffrey M., 2013. "Muy local: Differentiating Hispanic and Caucasian shoppers of locally produced foods in US grocery," Journal of Retailing and Consumer Services, Elsevier, vol. 20(3), pages 325-333.
    10. Dave Weatherspoon & James Oehmke & Assa Dembélé & Marcus Coleman & Thasanee Satimanon & Lorraine Weatherspoon, 2013. "Price and Expenditure Elasticities for Fresh Fruits in an Urban Food Desert," Urban Studies, Urban Studies Journal Limited, vol. 50(1), pages 88-106, January.
    11. Weatherspoon, Dave D. & Dembele, Assa S. & Weatherspoon, Lorraine J. & Coleman, Marcus A. & Oehmke, James F., 2012. "Price and Expenditure Elasticities for Vegetables in an Urban Food Desert," 2012 AAEA/EAAE Food Environment Symposium 123392, Agricultural and Applied Economics Association.
    12. Jarrett Thibodeaux, 2016. "City racial composition as a predictor of African American food deserts," Urban Studies, Urban Studies Journal Limited, vol. 53(11), pages 2238-2252, August.
    13. Xiang Li & Qipeng Yan & Yafeng Ma & Chen Luo, 2023. "Spatially Varying Impacts of Built Environment on Transfer Ridership of Metro and Bus Systems," Sustainability, MDPI, vol. 15(10), pages 1-24, May.
    14. Abolfazl Mollalo & Moosa Tatar, 2021. "Spatial Modeling of COVID-19 Vaccine Hesitancy in the United States," IJERPH, MDPI, vol. 18(18), pages 1-14, September.
    15. Cauchi, Daniel & Pliakas, Triantafyllos & Knai, Cécile, 2017. "Food environments in Malta: Associations with store size and area-level deprivation," Food Policy, Elsevier, vol. 71(C), pages 39-47.
    16. Sisman, S. & Aydinoglu, A.C., 2022. "A modelling approach with geographically weighted regression methods for determining geographic variation and influencing factors in housing price: A case in Istanbul," Land Use Policy, Elsevier, vol. 119(C).
    17. Chenarides, Lauren & Jaenicke, Edward C., 2016. "Store Choice and Consumer Behavior in Food Deserts: An Empirical Application of the Distance Metric Method," 2017 Allied Social Sciences Association (ASSA) Annual Meeting, January 6-8, 2017, Chicago, Illinois 250118, Agricultural and Applied Economics Association.
    18. Lisa M. Powell & Frank J. Chaloupka, 2011. "Economic Contextual Factors and Child Body Mass Index," NBER Chapters, in: Economic Aspects of Obesity, pages 127-144, National Bureau of Economic Research, Inc.
    19. Dustin T. Duncan & Jared Aldstadt & John Whalen & Kellee White & Márcia C. Castro & David R. Williams, 2012. "Space, race, and poverty: Spatial inequalities in walkable neighborhood amenities?," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 26(17), pages 409-448.
    20. Liang, Fachao & Zhu, Runmiao & Lin, Sheng-Hau, 2023. "Exploring spatial relationship between landscape configuration and ecosystem services: A case study of Xiamen–Zhangzhou–Quanzhou in China," Ecological Modelling, Elsevier, vol. 486(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:inrsre:v:47:y:2024:i:4:p:443-474. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.