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The impact of fiscal food policies on the macro-economy: the case of the UK Soft Drinks Industry Levy

Jensen, H. T.; Keogh-Brown, M. R.; Cobiac, L. J.; Law, C.; Rogers, N. T.; Rutter, H.; White, M.; Smith, R. D.

2025-04-25 health economics
10.1101/2025.04.23.25326252 medRxiv
Show abstract

The UK government announced the Soft Drinks Industry Levy (SDIL), a tiered tax on sugar-sweetened beverages (SSBs), in 2016 and implemented the tax in 2018. Traditional economic assessments of SSB tax interventions focus on assessing healthcare cost implications using the standard Cost-of-Illness methodology. No studies have so far attempted to apply macroeconomic assessment methods to assess net macroeconomic impacts of SSB taxes, including anticipated standard tax-efficiency losses and macroeconomic gains from reduced health externalities, or to assess trade-offs between macroeconomic and health outcomes. We established a novel framework consisting of a dynamically-recursive sectoral macroeconomic Computable General Equilibrium (CGE) model of the UK economy linked to the nutrition-focused multi-state lifetable PRIMEtime epidemiological model, and applied this framework to estimate the future macroeconomic impacts of the SDIL, and trade-offs with future health gains, over 2018-2040. Overall, the SDIL is estimated to lead to future health gains of 86,951 Disability-Adjusted Life Years (DALYs) saved, and health-related macroeconomic gains of {pound}2.49bn, including {pound}1.33bn due to shifting consumer demand exposures, and {pound}1.15bn due to SSB product reformulation. Due to additional tax-efficiency losses, the SDIL is estimated to result in a limited overall cumulative real GDP cost of {pound}2.01bn (0.004%), and in an SDIL cost-effectiveness ratio of {pound}23,116 per DALY saved, which suggests that the SDIL is cost-effective. Since product reformulation accounts for 46% of macroeconomic gains and makes up for >25% of overall tax-efficiency losses, this demonstrates the importance of SSB tax schemes to incentivize product reformulation to ensure that they maximize health impacts and cost-effectiveness.

Published in Social Science & Medicine (predicted rank #10) · training set

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