Evidence map›Paper›PMID 39789160›Full record

ArticleNature food2025

A reform of value-added taxes on foods can have health, environmental and economic benefits in Europe.

Marco Springmann, Eugenia Dinivitzer, Florian Freund, Jørgen Dejgård Jensen, Clara G Bouyssou

Abstract read
In one paragraph

Article in Nature food, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Marco SpringmannEnvironmental Change Institute, University of Oxford, Oxford, UK. marco.springmann@ouce.ox.ac.uk.ORCID 0000-0001-6028-5712
Eugenia DinivitzerEnvironmental Change Institute, University of Oxford, Oxford, UK.ORCID 0000-0002-5140-9717
Florian FreundJohann Heinrich von Thünen Institute - Federal Research Institute for Rural Areas, Forestry and Fisheries, Institute of Market Analysis, Braunschweig, Germany.ORCID 0000-0003-0803-6238
Jørgen Dejgård JensenDepartment of Food and Resource Economics, University of Copenhagen, Copenhangen, Denmark.
Clara G BouyssouDepartment of Food and Resource Economics, University of Copenhagen, Copenhangen, Denmark.ORCID 0000-0001-7076-2383

Funding

Wellcome TrustWellcome Trust (Wellcome) 205212/Z/16/ZWellcome Trust (Wellcome) 225318/Z/22/Z
6 · The paper itself

Abstract

Fiscal policies can provide important incentives for encouraging the dietary changes needed to achieve global policy targets. Across Europe, the foods relevant to health and the environment often incur reduced but non-zero value-added tax (VAT) rates at about half the maximum rates, which allows for providing both incentives and disincentives. Integrating economic, health and environmental modelling, we show that reforming VAT rates on foods, including increasing rates on meat and dairy, and reducing VAT rates on fruits and vegetables can improve diets and result in health, environmental and economic benefits in most European countries. The health improvements were primarily driven by reductions in VAT rates on fruits and vegetables, whereas most of the environmental and revenue benefits were driven by increased rates on meat and dairy. Our findings suggest that differentiating VAT rates based on health and environmental considerations can support changes towards healthier and more sustainable diets in Europe.

Indexed as

FoodTaxesDietEnvironmentEuropeFruitHumansMeatVegetables

Identifiers

PMID39789160
PMCPMC11850278

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.