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Health-motivated taxes on red and processed meat: a modelling study on optimal tax levels and health and climate-change co-benefits

Marco Springmann, Daniel Mason-D’Croz, Sherman Robinson, Keith Wiebe, H. Charles J. Godfray, Mike Rayner, Peter Scarborough

International Food Policy Research Institute (International Food Policy Research Institute) · 2017

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Summary

This 2017 modelling study by Springmann and colleagues evaluated health-motivated taxation of red and processed meat as a policy lever to reduce consumption-related mortality and food-system greenhouse-gas emissions. Using global food policy models, the authors estimated optimal tax levels and projected co-benefits across health and climate domains. The work suggests tax-based regulation of meat consumption could yield measurable public health gains whilst contributing to climate-change mitigation, framed as a market-based policy alternative to direct dietary guidance.

UK applicability

The study's global scope and focus on food policy mechanisms are directly relevant to UK policy discussion, particularly as the UK considers taxation and regulation of high-impact foods. The modelling framework and health burden estimates could inform UK health and climate policy design, though country-specific adaptation of tax rates and consumption elasticities would be needed.

Key measures

Optimal tax rates; mortality averted from chronic disease; greenhouse-gas emissions reduction; changes in consumption patterns and food prices

Outcomes reported

The study modelled optimal tax levels on red and processed meat consumption and projected health outcomes (mortality reduction from chronic disease) and greenhouse-gas emissions reductions. It used a global food policy modelling framework to estimate the economic and public health effects of meat taxation strategies.

Theme
Policy, governance & rights
Subject
Food & agricultural policy
Study type
Policy
Study design
Policy modelling study
Source type
Policy report
Status
Published
Geography
International
System type
Intensive livestock
DOI
10.1371/journal.pone.0204139
Catalogue ID
BFmou2mlz9-9dkxyn

Topic tags

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