The distributional implications of health taxes: A case study on the Italian sugar tax

As over-consumption of sugar-sweetened beverages (SSBs) is considered a major contributor to the rising prevalence of obesity and associated diseases, public authorities from different countries are considering the introduction of SSBs taxation. In this study, we evaluate the potential impact of the upcoming Italian sugar tax on SSBs and sugar consumption, also accounting for differences across socio-economic groups. We also analyze alternative SSBs tax designs (i.e., excise tax on sugar and two-tier tax based on sugar content) to compare their effectiveness and provide a more general analysis about the outcomes of SSBs taxation. In our empirical analysis, we first estimate consumers' demand for SSBs using the random coefficient logit demand model (Berry, Levinsohn, and Pakes, 1995) and Nielsen Household Panel data of SSBs purchases for the period 2019-2020. Then, the estimated demand parameters and marginal costs for SSBs are employed to conduct counterfactual simulations to derive the new market equilibria under the simulated SSBs tax scheme scenarios. Our results show that the Italian sugar tax is the most effective in reducing SSBs and sugar consumption (on average, by 18% and 24% respectively) among all the simulated tax scenarios. This is also due to the strategic reactions of SSBs manufacturers who over-shift the change in marginal cost (i.e., tax rate) to final prices. Moreover, despite being financially regressive, taxes on SSBs may be progressive from a health perspective, as low-income groups experience the greatest fall in SSBs and sugar consumption. Reinvesting tax revenues in health-related programs targeting the most vulnerable socio-economic groups (i.e., low-income households with children) may minimize the regressivity of SSBs taxes.