Market Unraveling and Quality Control in Agriculture

Last registered on April 30, 2025

Pre-Trial

Trial Information

General Information

Title
Market Unraveling and Quality Control in Agriculture
RCT ID
AEARCTR-0015865
Initial registration date
April 23, 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
April 30, 2025, 9:03 AM EDT

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

Locations

Region

Primary Investigator

Affiliation
UC Berkeley

Other Primary Investigator(s)

PI Affiliation
Tufts University
PI Affiliation
University of Chicago
PI Affiliation
CGIAR
PI Affiliation
ICRISAT

Additional Trial Information

Status
In development
Start date
2025-06-01
End date
2026-07-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Recent evidence indicates that enhancing agricultural productivity is crucial for re- ducing poverty and fostering GDP growth. While various technologies exist to achieve this goal, international institutions stress the importance of investing in new crop varieties. These varieties can deliver higher yields, withstand variable climates, and enable farmers to diversify their crop portfolio. These features become increasingly important in the face of climate change, which is hampering agricultural productivity in low-income countries. If farmers expand their crop portfolio with higher-yielding, climate-resilient crops, they can better endure climate shocks and maintain higher productivity. But insufficient production of high-quality seeds could limit farm-level adoption of new seed varieties. We aim to test two interventions that encourage farm- ers to multiply quality seeds of improved crop varieties. These methods involve price incentives (offering higher prices to motivate growers) and DNA verification technology (using genotyping to verify genetic purity, a requirement for purchase by seed compa- nies). These approaches could be cost-effective and straightforward for governments, institutions, and private seed companies to implement.
External Link(s)

Registration Citation

Citation
Dar, Manzoor et al. 2025. "Market Unraveling and Quality Control in Agriculture." AEA RCT Registry. April 30. https://doi.org/10.1257/rct.15865-1.0
Experimental Details

Interventions

Intervention(s)
We ask a simple research question: do price incentives, cheap DNA verification technology, or both, reduce information asymmetries at the very earliest stage of the agricultural value chain? Determining which of these tools matters most could stimulate growth in seed markets for new varieties, which will help farmers adopt high-value crops and diversify their income streams. These outcomes are crucial for farmers to achieve, as the extreme weather conditions they face due to climate change are more regularly threatening their crop yields and productivity. Moreover, by ensuring that high-quality seeds are produced, more farmers may be willing to invest in them and successfully achieve higher yields through proper management.
Intervention Start Date
2025-06-15
Intervention End Date
2025-11-30

Primary Outcomes

Primary Outcomes (end points)
Contract Acceptance; Genetic match; Contract Success; Delivered Quantity; Production Processes and Effort; Production Amount/Sales; Satisfaction with contract
Primary Outcomes (explanation)
See PAP attached

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We will explore the use of two possible levers to improve seed quantity and quality: higher prices (incentives to growers) and DNA testing. These two interventions have the potential to deal with problems of moral hazard and adverse selection they may be causing this market to unravel. Higher incentives may be necessary to offset the costs growers incur when multiplying seed and to attract higher-quality producers back into the market, helping to mitigate problems of adverse selection in these markets. However, even high-quality growers may decide not to bear the costs of producing pure seeds if there is little risk that inspectors will reject their output. In this case, implementing DNA testing may be necessary to ensure compliance with best practices and overcome problems of moral hazard.
To formally test which strategies are most effective at improving the quality of seeds that growers supply, we will run an RCT across 408 villages with 4 farmers in each village. Each village will be assigned to one of three treatment arms and a control group:
1. Control - Will receive a small incentive if they follow a simple set of best practices for producing groudnut.
2. Incentive - Will receive a large incentive if they follow a simple set of best practices for producing groudnut.
3. DNA testing - Will receive a small incentive if the DNA verification confirms that the seeds are genetically pure
4. DNA testing + Incentive - Will receive a large incentive if the DNA verification confirms that the seeds are genetically pure
Experimental Design Details
Not available
Randomization Method
Computer
Randomization Unit
Village
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
408 villages
Sample size: planned number of observations
1632 farmers
Sample size (or number of clusters) by treatment arms
4 farmers per village
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
It is important to note that we are likely to be better powered than most agricultural experiments because most of our main outcomes are precisely measured binary variables (did the farmer agree to multiply the seed, did they ultimately multiply the seed (and how much). We compute that with 100 clusters in each treatment arm, four farmers in each cluster, an inter-cluster correlation of 0.1 and 80% power, the standardized minimum detectable effect is 0.2 standard deviations. This effect size is of a reasonable magnitude - this is roughly a 6-percentage point increase in acceptance of the peanut growing contract.
IRB

Institutional Review Boards (IRBs)

IRB Name
Tufts University
IRB Approval Date
2024-05-20
IRB Approval Number
CR-02-STUDY00002760
Analysis Plan

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