Evidence map›Paper›PMID 39372540›Full record

ArticlePNAS nexus2024

Choice architecture promotes sustainable choices in online food-delivery apps.

Paul M Lohmann, Elisabeth Gsottbauer, James Farrington, Steve Human, Lucia A Reisch

Abstract read
In one paragraph

Article in PNAS nexus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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.

Paul M LohmannEl-Erian Institute of Behavioural Economics and Policy, Judge Business School, University of Cambridge, Trumpington Street, Cambridge CB2 1AG, United Kingdom.ORCID https://orcid.org/0000-0003-4724-9957
Elisabeth GsottbauerFree University of Bozen-Bolzano, Competence Center of Economic, Ecological and Social Sustainability, 39100 Bozen-Bolzano, Italy.
James FarringtonBehavioural Insights Team, London EC4Y 0DS, United Kingdom.
Steve HumanBehavioural Insights Team, London EC4Y 0DS, United Kingdom.
Lucia A ReischEl-Erian Institute of Behavioural Economics and Policy, Judge Business School, University of Cambridge, Trumpington Street, Cambridge CB2 1AG, United Kingdom.ORCID https://orcid.org/0000-0002-5731-4209

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Greenhouse gas emissions from the food system constitute about one-third of the global total, hence mitigation in this sphere of human activity is a vital goal for research and policy. This study empirically tests the effectiveness of different interventions to reduce the carbon footprint of food choices made on food-delivery apps, using an incentive-compatible online randomized controlled trial with 4,008 participants. The experiment utilized an interactive web platform that mimics popular online food-delivery platforms (such as Just Eat) and included three treatment conditions: a sign-posted meat tax, a carbon-footprint label, and a choice-architecture intervention that changed the order of the menu so that the lowest carbon-impact restaurants and dishes were presented first. Results show that only the choice-architecture nudge significantly reduced the average meal carbon footprint-by 0.3 kg/CO

Indexed as

carbon-footprint labelingchoice architecturefood-delivery appslow-carbon dietsrepositioning

Identifiers

PMID39372540
PMCPMC11450623

What OpenQuestion holds

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Registered trials

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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.