Choice architecture promotes sustainable choices in online food-delivery apps
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<sub>2</sub>e per order (12%), driven by a 5.6 percentage point (13%) reduction in high-carbon meal choices. Moreover, we find evidence of significant health and well-being co-benefits. Menu repositioning resulted in the average meal order having greater nutritional value and fewer calories, whilst significantly increasing self-reported satisfaction with the meal choice. Simple back-of-the-envelope calculations suggest that menu repositioning would be a highly cost-effective policy instrument if implemented at scale, with the return on investment expected to be in the range of £1.28 to £3.85 per metric ton of avoided CO<sub>2</sub> emissions, depending on implementation costs.
Authors
- Lucia A. Reisch (ORCID: https://orcid.org/0000-0002-5731-4209)
- Elisabeth Gsottbauer (ORCID: https://orcid.org/0000-0001-5849-8137)
- Paul Lohmann (ORCID: https://orcid.org/0000-0003-4724-9957)
- James Farrington
- Steve Human
Institutions
- Free University of Bozen-Bolzano (IT)
- Universität Innsbruck (AT)
- University of Cambridge (GB)
- Institute of Public Finance (HR)
- The Behavioural Insights Team (GB)
- London School of Economics and Political Science (GB)
Publication Details
- Journal
- PNAS Nexus
- Published
- 2024-09-19
- DOI
- https://doi.org/10.1093/pnasnexus/pgae422
- Citations
- 22
- Primary Topic
- Food Waste Reduction and Sustainability
- Type
- article
- Field-Weighted Citation Impact
- 7.67