Pulse Brain · Growing Health Evidence Index
Tier 4 — Narrative / commentaryPeer-reviewed

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 modelling study estimates economically optimal tax rates on red and processed meat that internalise their social health costs, using computational analysis to project health and climate co-benefits across high, middle, and low-income country settings. The findings suggest that context-specific tax levels substantially outperform generic tax rules in reducing disease burden and agricultural emissions, particularly in affluent and middle-income regions. The work contributes to the policy evidence base for market-based interventions on meat consumption.

UK applicability

As a high-income country with existing meat taxation policy debate, the United Kingdom could use this study's methodology to estimate optimal UK-specific tax levels that account for domestic health costs and emissions profiles. The findings support moving beyond flat-rate taxation towards evidence-based, contextualised approaches in UK food policy.

Key measures

Optimal tax rates (context-specific); health burden reduction; food-system greenhouse gas emissions reduction; economic and health outcomes by income group

Outcomes reported

The study modelled optimal tax rates on red and processed meat by internalising social health costs, and estimated potential reductions in disease burden and food-system emissions across different income settings. Results were presented as context-specific tax level recommendations rather than generic rules.

Theme
Policy, governance & rights
Subject
Food & agricultural policy
Study type
Policy
Study design
Policy modelling study
Source type
Peer-reviewed study
Status
Published
Geography
Global
System type
Intensive livestock
DOI
10.1371/journal.pone.0204139
Catalogue ID
BFmoicpgvd-r97dnm

Topic tags

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