School of Health and Related Research, University of Sheffield, 30 Regent Street, Sheffield, S1 4DA, UK.
Tobacco Control Research Group, University of Bath, Claverton Down, Bath, BA2 7AY, UK.
Eur J Health Econ. 2021 Apr;22(3):381-392. doi: 10.1007/s10198-020-01261-1. Epub 2021 Jan 28.
The effectiveness of alcohol duty increases relies on alcohol retailers passing the tax increase on to consumers. This study uses sales data from a market research company to investigate tax pass-through over 11 years for on-premise retailers in England and whether this varies across the price distribution, for different beverage categories and outlet types. Panel data quantile regression analysis is used to estimate the impact of 12 excise duty changes and 3 sales tax changes between 2007 and 2017 on prices. We use product-level quarterly panel data from for 777 alcoholic products. We undertake the regression at all outlets level separating products are analysed in seven broad beverage categories (Beer, Cider, RTDs, Spirits, Wine, Sparkling Wine, and Fortified Wine). We further test sensitivity by disaggregating outlets into seven outlet types. For all seven broad beverage categories, we find that there exists significant differences in tax pass-through across the price distribution. Retailers appear to "undershift" cheaper beverages (prices rise by less than the tax increase) and subsidise this loss in revenue with an "overshift" in the relatively more expensive products. Future modelling of tax change impacts on population subgroups could incorporate this evidence, and this is important because different socio-economic and drinker groups purchase alcohol at different points on the price distribution and hence are affected differently by tax changes. Governments could also potentially incorporate this evidence into future impact assessments.
酒精税的有效性增加依赖于酒类零售商将增加的税收转嫁给消费者。本研究使用市场研究公司的销售数据,调查了英格兰 11 年来酒类零售商的税收转嫁情况,以及这种情况在不同价格分布、不同饮料类别和不同销售渠道类型之间是否存在差异。使用面板数据分位数回归分析来估计 2007 年至 2017 年期间 12 项消费税变化和 3 项销售税变化对价格的影响。我们使用了 777 种酒精产品的季度面板数据,在所有销售渠道水平上进行回归,将产品分为七个广泛的饮料类别(啤酒、苹果酒、预调酒、烈酒、葡萄酒、汽酒和加强葡萄酒)进行分析。我们进一步通过将销售渠道细分为七种类型来测试敏感性。对于所有七个广泛的饮料类别,我们发现税收转嫁在价格分布上存在显著差异。零售商似乎在“低价转移”(价格涨幅低于税收增加),并通过对相对较贵产品的“高价转移”来补贴这种收入损失。未来对人口亚组税收变化影响的建模可以纳入这一证据,这一点很重要,因为不同的社会经济和饮酒群体在价格分布的不同点购买酒精,因此受到税收变化的影响不同。政府也可以将这一证据纳入未来的影响评估中。