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带有 Nutri-Score 的货架标签对消费者购买行为的影响:对比利时一家主要零售商超市自然实验的双重差分分析。

The impact of shelf tags with Nutri-Score on consumer purchases: a difference-in-difference analysis of a natural experiment in supermarkets of a major retailer in Belgium.

机构信息

Sciensano, Service Lifestyle & Chronic Diseases, J.Wytsmanstraat 14, 1050, Brussels, Belgium.

出版信息

Int J Behav Nutr Phys Act. 2021 Nov 18;18(1):150. doi: 10.1186/s12966-021-01207-7.

Abstract

BACKGROUND

Delhaize, a major Belgian retailer, started implementing electronic shelf labels (ESL) with Nutri-Score since May 2019. Nutri-Score rates the healthfulness of packaged foods with five colours/letters from red/E (least healthy) to green/A (most healthy). This study evaluated the impact of ESL on consumer purchases, overall, and by food category.

METHODS

For 43 intervention stores (implementing ESL in the period 27 May 2019-19 June 2019), a control store, from the same province and retailer-assigned cluster was matched. There were 14 unique control stores. By store, weekly non-food and food sales for 2018 and 2019 were received by Nutri-Score (A/B/C/D/E) and food category according to a retailer-assigned classification system. The primary outcomes were the proportion of food sales for Nutri-Score A,B,C,D,E. Difference-in-differences regression analysis was conducted to estimate the effect of the ESL intervention on proportion of overall food and food category sales for Nutri-Score A,B,C,D,E, using linear mixed models to account for clustering at store-level. We controlled for store characteristics (region, cluster, non-food sales) and week of the year. Analyses were weighted to re-balance discrepancy between the number of intervention and control stores. To account for multiple testing, a Bonferroni adjustment was applied.

RESULTS

Comparing pre- and post-intervention periods, difference-in-differences for the proportion of Nutri-Score B and C product sales were more favourable in intervention than control stores (0.11 ± 0.04%, p = 0.007 and - 0.06 ± 0.03%, p = 0.026 respectively), while difference-in-differences for the proportion of Nutri-Score D product sales were less favourable in intervention than control stores (0.12 ± 0.04%, p = 0.002). For 17/58 food categories (representing 29% of total food sales) a positive impact [increase in healthier (Nutri-Score A, B) and/or decrease in less healthy (Nutri-Score D, E) food sales], and for 16/58 categories (representing 24% of total food sales) a negative impact was found. Positive impacts were found for vegetable, fruit and dairy products and confectionery. Negative impacts were found for bread and bakery products.

CONCLUSION

The impact of ESL on consumer purchases was mixed. Favourable difference-in-differences were found for Nutri-Score B and C products and unfavourable difference-in-differences for Nutri-Score D products. Shelf labeling on its own is unlikely to significantly influence consumer behaviours.

摘要

背景

比利时大型零售商德尔海兹(Delhaize)自 2019 年 5 月开始使用 Nutri-Score 实施电子货架标签(ESL)。Nutri-Score 用五种颜色/字母(从最不健康的红色 E 到最健康的绿色 A)来评定包装食品的健康程度。本研究评估了 ESL 对消费者购买行为的总体影响,以及按食品类别进行的影响。

方法

对于 43 家干预商店(2019 年 5 月 27 日至 6 月 19 日期间实施 ESL),从同一省份和零售商分配的集群中匹配了一家对照商店。共有 14 家独特的对照商店。按商店,2018 年和 2019 年每周的非食品和食品销售数据均按照零售商分配的分类系统,以 Nutri-Score(A/B/C/D/E)和食品类别进行了接收。主要结果是 Nutri-Score A、B、C、D、E 的食品销售比例。采用线性混合模型,通过商店层面的聚类来控制商店特征(地区、集群、非食品销售)和一年中的周数,使用差异中的差异回归分析来估计 ESL 干预对整体食品和食品类别销售的 Nutri-Score A、B、C、D、E 比例的影响。我们对分析进行了加权,以重新平衡干预和对照商店数量之间的差异。为了考虑到多次检验,我们应用了 Bonferroni 调整。

结果

与干预前和干预后期间相比,干预商店中 Nutri-Score B 和 C 产品销售比例的差异更大(分别为 0.11 ± 0.04%,p = 0.007 和-0.06 ± 0.03%,p = 0.026),而干预商店中 Nutri-Score D 产品销售比例的差异更小(0.12 ± 0.04%,p = 0.002)。对于 58 个食品类别中的 17 个(占总食品销售额的 29%),发现了积极影响[健康食品(Nutri-Score A、B)的销售增加和/或不太健康食品(Nutri-Score D、E)的销售减少],而对于 58 个食品类别中的 16 个(占总食品销售额的 24%),发现了负面影响。在蔬菜、水果和奶制品以及糖果方面发现了积极影响。在面包和烘焙产品方面发现了负面影响。

结论

ESL 对消费者购买行为的影响喜忧参半。Nutri-Score B 和 C 产品的差异较大,而 Nutri-Score D 产品的差异较小。货架标签本身不太可能显著影响消费者行为。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe02/8600869/ae9376a723a0/12966_2021_1207_Fig1_HTML.jpg

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