Poster Paper:
Separate and Hungry. How Residential Segregation Affects the Food Environment and Food Security in Urban Counties.
*Names in bold indicate Presenter
Data on food security are obtained from the Current Population Survey (CPS) and from Feeding America. American Community Survey (ACS) provides the data to measure residential segregation by race/ethnicity and by income, using the indices of dissimilarity and isolation. The Retail Food Environment Index, a ratio of the numbers of healthy to less healthy food outlets accessible to residents of the county is calculated using geocoded data on food outlets obtained from Trade Dimensions. Variance function regression (VFR) is used to simultaneously model the means (between–county differences) and variances (within-county differences), and therefore the net effects of both residential segregation and the food environment on food insecurity.
Results will show how food insecurity varies over space at the county level with both the retail food environment and residential segregation. By shedding light on the specific aspects of residential segregation and the food environment that impact food insecurity, this paper fits into the debate over the consequences of segregation and the debate over effective food retail zoning. The social and spatial structure explained by these associations will help researchers and policymakers better understand the net effects of residential segregation and the food environment on the complex factors related to food insecurity.