Uncertainty and Incentives for Quality Upgrading: Evidence from Uganda Cassava

Last registered on July 28, 2025

Pre-Trial

Trial Information

General Information

Title
Uncertainty and Incentives for Quality Upgrading: Evidence from Uganda Cassava
RCT ID
AEARCTR-0016441
Initial registration date
July 24, 2025

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
July 28, 2025, 9:16 AM EDT

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Locations

Region

Primary Investigator

Affiliation
Université de Bordeaux

Other Primary Investigator(s)

PI Affiliation
Hebrew University of Jerusalem
PI Affiliation

Additional Trial Information

Status
In development
Start date
2025-07-28
End date
2026-12-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Growth and structural transformation in low-income countries, particularly in sub-Saharan Africa, depend heavily on value chains for food staples. Such value chains often offer large price premiums over local spot markets but have more stringent quality requirements, which many producers fail to meet. It has been a longstanding puzzle why supply responses to these price incentives have been so weak, even where quality upgrading is technically feasible. We focus on a relatively understudied channel: market risk. In imperfectly competitive markets with limited contract enforceability, farmers or traders who invest in quality upgrading may fail to find a buyer willing to pay a sufficient premium. We aim to estimate how much relaxing technological constraints alone induces quality upgrading and commercialization as well as how reducing exposure market risk augments these effects. To do so, we propose a cluster randomized control trial in Teso sub-region, Uganda, that provides access to small-scale processing technology (a mechanical chipper and solar dryer) to cassava farmers contracted with a large agro-processor. As demonstrated in a pilot study, the technology facilitates quality upgrading, which allows farmers to earn a substantial price premium. However, the technology is locally available and relatively affordable for a farmer group or individual trader, raising the question of why adoption has been limited. Our intervention, most of which has already been funded by the International Growth Centre, tests both how the technology affects the supply of high-quality cassava and its adoption depends on contracts that vary the exposure to market risk.
External Link(s)

Registration Citation

Citation
Do Nascimento Miguel, Jérémy, Mathew Kato and Jedediah Silver. 2025. "Uncertainty and Incentives for Quality Upgrading: Evidence from Uganda Cassava." AEA RCT Registry. July 28. https://doi.org/10.1257/rct.16441-1.0
Experimental Details

Interventions

Intervention(s)
We propose a randomized control trial to estimate the effects of small-scale cassava processing technology on supply, quality upgrading, and investment, at both farmer and trader levels, and how these depend on uncertainty over market access and quality. We estimate how these treatments affect agents’ willingness to pay for quality-upgrading technology. the volume and quality of cassava supplied, and farmer-level investment.
Intervention Start Date
2025-07-28
Intervention End Date
2026-12-31

Primary Outcomes

Primary Outcomes (end points)
We plan to directly and repeatedly measure the quality and volume of cassava supplied by farmers and agents and conduct multiple elicitations of willingness to adopt the technologies that facilitate commercialization and quality upgrading.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Our main treatment is to randomize access to cassava drying equipment (solar dryer and mechanical chipper, hereafter the technology) to a random subset of Landmark’s agents and farmer groups. The unit of randomization will be the agents, each of which manages 4 farmers groups of 30+ farmers at roughly the village level. The intervention will take place in two stages, corresponding to two successive agricultural seasons (March to June and September to December).
Experimental Design Details
Not available
Randomization Method
Done in Computer
Randomization Unit
Agents
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
40 agents
Sample size: planned number of observations
800 farmers (20 per agent)
Sample size (or number of clusters) by treatment arms
20 agents and 400 farmers control, 20 agents and 400 farmers treatment.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Using the data from our pilot study and from Bold et al. (2022) about Ugandan maize farmers as a proxy for unobservable quality, we conducted power calculation setting the significance level at 5% and the power at 80%. We can detect a 16 percentage point (or 94%) increase in supply of high-quality cassava and a 27 percentage point (or 84%) increase in unobservable quality attributes following the introduction of the equipment. Similarly, the annual cassava production equals 868 kg, for which the study should be able to detect a 77% increase after the introduction of the equipment on production. Regarding the difference between the introduction of the equipment and its joint effects with access to quality testing kits, we can detect a 16 percentage point increase in the supply of high-quality cassava, 27 percentage point increase in unobservable quality attributes, and a 81% increase in cassava production. These are conservative estimates based on the worst case, collecting one baseline and one endline.
Supporting Documents and Materials

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IRB

Institutional Review Boards (IRBs)

IRB Name
The Ethics Committee for Non-Medical Human Studies at the Faculty of Medicine, Dentistry, Natural Sciences, Computer Science, and Agriculture – The Hebrew University
IRB Approval Date
2025-07-08
IRB Approval Number
09072025
IRB Name
Mildmay Uganda REC (MUREC)
IRB Approval Date
2025-06-19
IRB Approval Number
0706-2025