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The price of food: Improving assessments of community food prices and accounting for the time cost of food

Posted on:2014-01-02Degree:Ph.DType:Dissertation
University:Tufts University, Gerald J. and Dorothy R. Friedman School of Nutrition Science and PolicyCandidate:Llobrera, Joseph TFull Text:PDF
GTID:1459390008958541Subject:Economics
Abstract/Summary:
Household food choices are subject to a budget constraint and a time constraint. To achieve an adequate diet that supports a healthy and active life, households must have sufficient income and time resources. Household purchasing power is directly influenced by the price of food at retailers while household time resources are impacted both by household characteristics and by the time costs related to food. This dissertation addresses both types of household constraints in a series of three articles.;The first article used Consumer Expenditure Survey data to examine the relationship of household characteristics that serve as proxies for household time constraints with food spending behavior. Household structure was the most consistent and, in several cases, the most practically significant predictor of food shopping patterns. Compared to married couple households, single-adult households shopped less frequently and allocated more of their food budget to food away from home and prepared food and less on food at home, vegetables of all forms, and fresh vegetables.;The second article provides empirical evidence of differences in food availability and prices between small and large food retailers based on detailed, localized data from the Boston metropolitan area. This study improved on existing methods of community food price survey research by increasing the representativeness of sampled areas, retailers, and food items and applying novel methods for handling variability in food item availability. Differences in food availability between small and large stores were greatest for fresh meats and produce. Food available at small stores was predominantly shelf stable rather than perishable. The average unit price of individual food items was consistently higher at small stores, although there were a few food items sold at small stores that were priced competitively with large stores. The aggregated cost of food at small stores was higher than at large stores, with the estimated difference ranging from 25 percent higher to 59 percent higher. Adjusting for food item availability resulted in larger estimated price differences.;The third article examined variations in the price of food items due to nutrition and convenience attributes using primary data collected from Boston-area food retailers. It improves on existing methods and studies in three ways. First, systematic research design was implemented to ensure representativeness of sampled areas, retailers, and food items. Second, analyses controlled for store size and neighborhood characteristics when conducting food price comparisons. Third, expenditure weights were applied to assess the overall economic significance of food price differences. Substitutions based on MyPlate guidance typically resulted in price increases while substituting more convenient forms of food resulted in both price increases and price decreases. When put in the context of the overall food budget, we found that the estimated impact of both types of substitutions was substantially tempered but that the net effect was a small increase in the overall cost of the basket of goods.;The methods and analytic tools developed in this dissertation can serve as a template for collecting localized food price data in other communities to address empirical questions about the food price environment, such as the impact of healthy store initiatives on the availability and price of healthful food options. Findings from this dissertation also highlight the tradeoffs between the time costs involved in acquiring and preparing food at home and the monetary cost of the food items themselves.
Keywords/Search Tags:Food price, Food items, Household, Community food, Health sciences, Time costs, Small stores, Sampled areas retailers
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