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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 modelling study by Springmann and colleagues applies a market-based policy approach to regulate red and processed meat consumption through taxation, calibrated to internalise health externalities. Using global economic models, the authors estimate optimal tax levels and quantify co-benefits including reductions in diet-related mortality and food-system greenhouse-gas emissions. The work as suggested by the title synthesises evidence on meat consumption's role in chronic disease burden and agricultural emissions to inform evidence-based policy design.

UK applicability

The findings are relevant to UK policy discussions on fiscal instruments for dietary health and climate mitigation, particularly given the National Health Service's burden from diet-related chronic disease and the United Kingdom's climate commitments. However, applicability depends on the specific economic parameters, baseline consumption patterns, and distributional impacts modelled for the UK or comparable high-income nations.

Key measures

Optimal tax rates on red and processed meat; mortality averted from chronic disease; greenhouse-gas emissions reduction; consumption changes by country/income group

Outcomes reported

The study modelled optimal tax levels on red and processed meat consumption using a global computable general equilibrium approach, estimating health gains (mortality reduction from chronic disease) and greenhouse-gas emission reductions as co-benefits.

Theme
Policy, governance & rights
Subject
Food & agricultural policy
Study type
Policy
Study design
Policy report
Source type
Policy report
Status
Published
Geography
Global
System type
Intensive livestock
Catalogue ID
BFmommpma7-yv98gx

Topic tags

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