The labels included nutrition information, maps of where food was produced, organic/non-organic labels, and educational messages at the point of purchase
Aggregate sales data for each period was evaluated. To control for changes in daily sales the quantity of each item sold was measured as a percentage of total quantity of items sold in the cafeteria in each three-week period. A 20 percent price reduction of a local, healthy food item (bison burger) increased the percentage sold by 26 percent from the baseline period. A 20 percent increase in the price of a close substitute, though non-local and less healthy food (hamburger) along with the prior price reduction, resulted in a 74 percent increase in sales of the local, healthier bison burger. Adding labels and educational messages to these price changes resulted in a 160 percent increase in the local, healthier food item sold. The price and label elasticity was -7.97, suggesting that consumers were ver
y responsive to price changes with labeling.
After the price manipulation for the purely organic item (a pre-packaged yogurt) (20 percent price drop for the organic brand, 20 percent price increase for non-organic brand), the quantity of the organic brand increased by 32 percent while the quantity of the non-organic item fell by 6 percent compared to baseline sales. When we added the organic label message along with the price changes, there was a 36 percent increase in the organic item sold and a 7 percent decrease in the non-organic item. This translates into a price and label elasticity for the organic item of -1.82, again suggesting that consumers were sensitive to the price and label changes.
Overall, there appears to be substantial price sensitivity for organic, local and healthier food items with stronger quantity changes when food labels and messages were added to the price manipulations. This suggests that food labeling at the point of purchase should be used along with taxes and subsidies on food items. The next step of this research is to analyze daily sales and food selection by individual employees (controlling for relevant covariates) to determine sensitivities to price and label interventions. The Healthy Food, Healthy Lives Institute at the University of Minnesota supported this research.
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