National Institute for Health Innovation, School of Population Health, University of Auckland, Auckland, New Zealand; Department of Public Health, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands.
National Institute for Health Innovation, School of Population Health, University of Auckland, Auckland, New Zealand.
Lancet Public Health. 2019 Aug;4(8):e394-e405. doi: 10.1016/S2468-2667(19)30105-7.
Most evidence on health-related food taxes and subsidies relies on observational data and effects on single nutrients or foods instead of total diet. The aim of this study was to measure the effect of randomly assigned food price variations on consumer purchasing, where sets of prices emulated commonly discussed food tax and subsidy policies, including a subsidy on fruit and vegetables, a sweetened beverage tax, and taxes on foods according to sugar, sodium, and saturated fat content.
In this study, adult participants (≥18 years) in New Zealand completed up to five weekly shops in a virtual supermarket. Each shopping occasion was randomly allocated to control (no change in prices) or one or more pricing options simulating the following: a fruit and vegetable subsidy (20%), a sweetened beverage tax (20% or 40%), a saturated fat tax (NZ$2 per 100 g or $4 per 100 g saturated fat), a salt tax ($0·02 per 100 mg or $0·04 per 100 mg sodium), or sugar tax ($0·40 per 100 g or $0·80 per 100 g sugar). The primary outcome was the healthiness of the total shopping basket for each weekly shop (% of total unit food items defined as healthy). Low and high price change options were combined in analyses (eg, results for a saturated fat tax are an average of $2 per 100 g or $4 per 100 g).
Between Feb 1, and Dec 1, 2016, we randomly assigned 1132 shoppers, of whom 1038 (91·7%) completed at least one shop and 743 (71·6%) completed all five shops. Overall, data from 4258 shops were included in the analysis, including 645 control shops, 2545 shops where one policy was activated, and 1068 shops with two (or more) policies activated. In the control condition, 67·90% (SD 13·01) of food purchases were classified as healthy. Three of the five policies increased this proportion by a small, but significant amount (saturated fat tax mean absolute difference 1·77%, 95% CI 1·03 to 2·52, p<0·0001; sugar tax 1·09%, 0·26 to 1·91, p=0·0099; and salt tax 1·31%, 0·50 to 2·13, p=0·0016). The sweetened beverage tax and fruit and vegetable subsidy resulted in non-significant increases of 0·18% (95% CI -0·49 to 0·85, p=0·60) and 0·41% (-0·26 to 1·07, p=0·23), respectively. Both the saturated fat tax and salt tax resulted in the following important substitution effects: an increase in fruit and vegetable purchases as a percentage by weight of all food purchases (saturated fat tax 4·0%, 0·9 to 7·1; salt tax 4·3%, 0·9 to 7·7); but also an increase in sugar as a percentage of total energy (saturated fat tax 5·0%, 2·1 to 7·9; salt tax 3·2%, 0·0 to 6·5). Interaction terms for combined policies were mostly non-significant, consistent with additive effects of policy combinations.
Price changes representing saturated fat, sugar, and salt taxes increased total healthy food purchases. As we observed important substitution effects, a combination of different tax and subsidy policies might be the most effective way to improve diets and decrease diet-related chronic diseases.
Health Research Council of New Zealand.
大多数关于与健康相关的食品税收和补贴的证据依赖于观察性数据和对单一营养素或食物的影响,而不是总饮食。本研究的目的是衡量随机分配的食品价格变化对消费者购买的影响,其中一系列价格模拟了常见的食品税和补贴政策,包括水果和蔬菜补贴、含糖饮料税以及根据糖、钠和饱和脂肪含量对食品征税。
在这项研究中,新西兰的成年参与者(≥18 岁)在虚拟超市中完成了多达五次每周购物。每次购物机会都被随机分配到对照组(价格不变)或一个或多个定价选项,这些选项模拟了以下情况:水果和蔬菜补贴(20%)、含糖饮料税(20%或 40%)、饱和脂肪税(每 100 克 2 新西兰元或每 100 克饱和脂肪 4 新西兰元)、盐税(每 100 毫克 0.02 新西兰元或每 100 毫克钠 0.04 新西兰元)或糖税(每 100 克 0.40 新西兰元或每 100 克糖 0.80 新西兰元)。主要结果是每周购物篮的健康程度(定义为健康的总单位食品的百分比)。在分析中,将低和高价格变化选项结合在一起(例如,饱和脂肪税的结果是每 100 克 2 新西兰元或每 100 克 4 新西兰元的平均值)。
2016 年 2 月 1 日至 12 月 1 日期间,我们随机分配了 1132 名购物者,其中 1038 名(91.7%)至少完成了一次购物,743 名(71.6%)完成了所有五次购物。共有 4258 家商店的数据纳入分析,包括 645 家对照商店、2545 家激活了一项政策的商店和 1068 家激活了两项(或更多)政策的商店。在对照组中,67.90%(SD 13.01)的食品购买被归类为健康。五项政策中的三项使这一比例略有但显著增加(饱和脂肪税平均绝对差异 1.77%,95%CI 1.03 至 2.52,p<0.0001;糖税 1.09%,0.26 至 1.91,p=0.0099;盐税 1.31%,0.50 至 2.13,p=0.0016)。含糖饮料税和水果和蔬菜补贴分别导致非显著增加 0.18%(95%CI -0.49 至 0.85,p=0.60)和 0.41%(-0.26 至 1.07,p=0.23)。饱和脂肪税和盐税都导致了以下重要的替代效应:按所有食品购买的重量计算,水果和蔬菜购买的百分比增加(饱和脂肪税 4.0%,0.9 至 7.1;盐税 4.3%,0.9 至 7.7);但总能量中糖的百分比也增加(饱和脂肪税 5.0%,2.1 至 7.9;盐税 3.2%,0.0 至 6.5)。联合政策的交互项大多不显著,与政策组合的相加效应一致。
代表饱和脂肪、糖和盐税的价格变化增加了总健康食品的购买量。由于我们观察到重要的替代效应,不同税收和补贴政策的组合可能是改善饮食和减少与饮食相关的慢性疾病的最有效途径。
新西兰健康研究委员会。