Factors Associated with Supermarket and Convenience Store Closure: A Discrete Time Spatial Survival Modelling Approach

Warren, Joshua L.; & Gordon-Larsen, Penny. (Forthcoming). Factors Associated with Supermarket and Convenience Store Closure: A Discrete Time Spatial Survival Modelling Approach. Journal of the Royal Statistical Society, Series A (Statistics in Society). NIHMSID: NIHMS923274

Warren, Joshua L.; & Gordon-Larsen, Penny. (Forthcoming). Factors Associated with Supermarket and Convenience Store Closure: A Discrete Time Spatial Survival Modelling Approach. Journal of the Royal Statistical Society, Series A (Statistics in Society). NIHMSID: NIHMS923274

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Although there is a literature on the distribution of food stores across geographic and social space, much of this research uses cross-sectional data. Analyses attempting to understand whether the availability of stores across neighbourhoods is associated with diet and/or health outcomes are limited by a lack of understanding of factors that shape the emergence of new stores and the closure of others. We used quarterly data on supermarket and convenience store locations spanning seven years (2006–2012) and tract level census data in four US cities: Birmingham, Alabama; Chicago, Illinois; Minneapolis, Minnesota; San Francisco, California. A spatial discrete time survival model was used to identify factors that are associated with an earlier and/or later closure time of a store. Sales volume was typically the strongest indicator of store survival. We identified heterogeneity in the association between tract level poverty and racial composition with respect to store survival. Stores in high poverty, non-white tracts were often at a disadvantage in terms of survival length. The observed patterns of store survival varied by some of the same neighbourhood sociodemographic factors as associated with lifestyle and health outcomes, which could lead to confusion in interpretation in studies of the estimated effects of introduction of food stores into neighbourhoods on health.




JOUR



Warren, Joshua L.
Gordon-Larsen, Penny



Forthcoming


Journal of the Royal Statistical Society, Series A (Statistics in Society)












NIHMS923274

10688

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