Departamento de Economía Agraria, Pontificia Universidad Católica de Chile, Santiago, Chile.
Department of Agricultural and Applied Economics, University of Georgia, Athens, GA.
Econ Hum Biol. 2019 Dec;35:133-143. doi: 10.1016/j.ehb.2019.07.001. Epub 2019 Jul 10.
Point-of-sale nutrition information has been adopted by numerous grocery stores to respond to the demand for easy-to-understand nutrition labeling by consumers. Although there is conflicting evidence regarding the effectiveness of providing nutrition information, previous research indicates simplified shelf nutrition labels may lead to healthier choices. However, these studies have not examined how different consumer segments respond to these labels, nor the differential impacts across foods. Using household purchase data from a store that voluntarily adopted the (now defunct) NuVal shelf nutrition labels (a 1-100 numeric score derived from a nutrition-profiling algorithm), we assess NuVal impacts across different consumers and foods. NuVal scores potentially influence not only purchase quantity but also likelihood of buying. Thus, the effect of NuVal was measured by estimating a two-part model and predicting consumers' unconditional purchase responses. We found evidence of heterogeneous impacts of NuVal across consumers and foods. High-income households and households with children shifted their yogurt and frozen dinner purchases to more healthful items. In contrast, households with children and households headed by heads with college education slightly shifted their canned soup purchases to less healthful options. Our findings suggest that specific foods and consumer segments are influenced by simplified shelf nutrition information and further research is necessary to better understand its effect on consumer dietary quality.
销售点营养信息已被众多杂货店采用,以满足消费者对易于理解的营养标签的需求。尽管关于提供营养信息的效果存在相互矛盾的证据,但之前的研究表明,简化的货架营养标签可能会导致更健康的选择。然而,这些研究尚未考察不同消费群体对这些标签的反应,也未考察不同食品的差异影响。本研究使用一家自愿采用(现已失效的)NuVal 货架营养标签(一种源自营养分析算法的 1-100 数字评分)的商店的家庭购买数据,评估 NuVal 在不同消费者和食品中的影响。NuVal 评分可能不仅影响购买数量,还影响购买的可能性。因此,通过估计两部分模型并预测消费者的无条件购买反应来衡量 NuVal 的效果。我们发现 NuVal 在消费者和食品之间存在异质影响的证据。高收入家庭和有孩子的家庭将他们的酸奶和冷冻晚餐购买转向更健康的选择。相比之下,有孩子的家庭和受过大学教育的家庭主妇的罐头汤购买略微转向不太健康的选择。我们的研究结果表明,简化的货架营养信息会影响特定的食品和消费群体,需要进一步研究以更好地了解其对消费者饮食质量的影响。