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Spatial Analysis of Socioeconomic Factors Contributing to Food Desert in North Carolina

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  • Victoria Tanoh

    (Applied Science and Technology Program, NC A&T State University, Greensboro, NC 27411, USA)

  • Leila Hashemi-Beni

    (Built Environment Department, NC A&T State University, Greensboro, NC 27411, USA)

Abstract

Food deserts (FD) have attracted attention after the post-COVID-19 pandemic, primarily due to adverse health and other implications of living in areas designated as food deserts. Most studies have focused on various aspects of the impact of food deserts, including the nutritional and health risks of living in FDs. Spatial integration and analysis of the GIS data in food provide a powerful way to expose the issues of creating deserts and how they change over space and time. This study aims to investigate the socioeconomic factors influencing food deserts using geospatial analyses. Guilford, Bladen, and Rutherford Counties in North Carolina were selected as case studies due to their higher percentage of the population with limited healthy food access. This study used open-source data, such as the USDA’s Crop Land Layer (CDL) land cover maps, census data, and the Food Access Research Atlas. This research provides a geostatistical analysis of FDs based on income/expenditure, population, vehicle, and food aid. The study results generally showed that geospatial technologies are vital for investigating FDs. The results will assist policy makers and other responsible agencies in formulating appropriate intervention policies tailored to meet the demands of these counties.

Suggested Citation

  • Victoria Tanoh & Leila Hashemi-Beni, 2023. "Spatial Analysis of Socioeconomic Factors Contributing to Food Desert in North Carolina," Sustainability, MDPI, vol. 15(10), pages 1-11, May.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:10:p:7848-:d:1144073
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    References listed on IDEAS

    as
    1. Coleman-Jensen, Alisha & Rabbitt, Matthew & Gregory, Christian, 2022. "Statistical Supplement to Household Food Security in the United States in 2021," Amber Waves:The Economics of Food, Farming, Natural Resources, and Rural America, United States Department of Agriculture, Economic Research Service, vol. 2022(Administr), September.
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    3. Coleman-Jensen, Alisha & Rabbitt, Matthew & Gregory, Christian & Singh, Anita, 2022. "Statistical Supplement to Household Food Security in the United States in 2021," Amber Waves:The Economics of Food, Farming, Natural Resources, and Rural America, United States Department of Agriculture, Economic Research Service, vol. 2022(Administr), September.
    4. Melissa Goodman & Jessica Thomson & Alicia Landry, 2020. "Food Environment in the Lower Mississippi Delta: Food Deserts, Food Swamps and Hot Spots," IJERPH, MDPI, vol. 17(10), pages 1-13, May.
    5. Penne, Tess & Goedemé, Tim, 2021. "Can low-income households afford a healthy diet? Insufficient income as a driver of food insecurity in Europe," Food Policy, Elsevier, vol. 99(C).
    6. Coleman-Jensen, Alisha & Rabbitt, Matthew P. & Gregory, Christian A. & Singh, Anita, 2021. "Statistical Supplement to Household Food Security in the United States in 2020," USDA Miscellaneous 313486, United States Department of Agriculture.
    7. Asmamaw A. Gebrehiwot & Leila Hashemi-Beni & Lyubov A. Kurkalova & Chyi L. Liang & Manoj K. Jha, 2022. "Using ABM to Study the Potential of Land Use Change for Mitigation of Food Deserts," Sustainability, MDPI, vol. 14(15), pages 1-23, August.
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