A third of the world’s population still relies on traditional cookstoves and polluting fuels, despite the many benefits of cleaner cooking technologies. The adoption of modern stoves is not the only barrier to this transition, since households with access to cleaner technologies often continue using traditional stoves alongside these. One reason for this ‘stove stacking’ is that modern cooking technologies are often considered incompatible with established and customary household cooking practices. These practices are not only 'normative’ but often ‘habitual’, making them particularly difficult to change. This paper asks whether behavioral insights can help to better align household cooking practices with the capabilities of modern stoves, using a group session implemented as a randomized control trial in peri-urban Rwanda. Based on a behavioral model of the clean cooking transition, the intervention seeks to establish a new cooking habit among participants (pre-soaking beans before cooking them) by targeting their attitudes, norms and perceived behavioral control, as well as using contextual cues to encourage repetition of the behavior over time. Results point to the successful formation of a new energy-efficient cooking habit that lowered cook times on traditional stoves on days in which beans were cooked. Importantly, the intervention also had a positive effect on attitudes about the suitability of modern stoves for cooking beans, and increased participants’ aspirations and expectations to purchase these devices.
| Repository name | URI |
|---|---|
| Reproducible Research Repository (World Bank) | https://reproducibility.worldbank.org |
Paper exhibits were reproduced on a computer with the following specifications:
• OS: Windows 11 Enterprise
• Processor: Intel(R) Xeon(R) Gold 6226R CPU @ 2.90GHz (2.90 GHz) (2 processors)
• Memory available: 16.0 GB
Run time: 16 minutes
To reproduce the findings in this paper, a replicator must:
0_master, and run it.Since all the data is not included, the package includes the results produced by replicators. These files can be used to review the results presented in the paper.
All data is temporarily embargoed by the authors (expected to be made public in the future).
| Author | Affiliation | |
|---|---|---|
| Sarah Elven | World Bank, London School of Economics | selven@worldbank.org |
| Jorge Luis Castañeda Núñez | World Bank | jlcastaneda@worldbank.org |
| Samantha de Martino | World Bank | sdemartino@worldbank.org |
| Michelle Dugas | World Bank | mdugas@worldbank.org |
| Sayan Kundu | World Bank | skundu1@worldbank.org |
2026-04-30
| Location | Code |
|---|---|
| Rwanda | RWA |
The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.
| Name | URI |
|---|---|
| Modified BSD3 | https://opensource.org/license/bsd-3-clause/ |
| Name | Affiliation | |
|---|---|---|
| Sarah Elven | World Bank, London School of Economics | selven@worldbank.org |
| Reproducibility WBG | World Bank | reproducibility@worldbank.org |
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Reproducibility WBG | DECDI | World Bank - Development Impact Department | Verification and preparation of metadata |
2026-04-30
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