Chat Over Coffee? Diffusion of Agronomic Practices Through Information Networks in Rwanda

Last registered on October 17, 2022

Pre-Trial

Trial Information

General Information

Title
Chat Over Coffee? Diffusion of Agronomic Practices Through Information Networks in Rwanda
RCT ID
AEARCTR-0010224
Initial registration date
October 17, 2022

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
October 17, 2022, 5:34 PM EDT

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

Locations

Region

Primary Investigator

Affiliation
Stockholm School of Economics

Other Primary Investigator(s)

PI Affiliation
MIT
PI Affiliation
MIT Sloan
PI Affiliation
Louisiana State University

Additional Trial Information

Status
Completed
Start date
2009-12-01
End date
2012-11-30
Secondary IDs
Prior work
This trial is based on or builds upon one or more prior RCTs.
Abstract
This paper studies the role of social learning in farmers’ adoption of improved coffee practices, in the context of training field experiment in Rwanda. While the program improved knowledge of all trained best practices and strengthened social networks, detailed tree audits reveal limited impacts on adoption. We find no evidence of diffusion through farmers’ networks; instead, control households experienced negative spillovers in high treatment concentration areas. This explains much of the 7% higher yields of treatment farmers compared to the control post training. Our results highlight the challenges of information diffusion in agricultural extension programs.
External Link(s)

Registration Citation

Citation
Duflo, Esther et al. 2022. "Chat Over Coffee? Diffusion of Agronomic Practices Through Information Networks in Rwanda." AEA RCT Registry. October 17. https://doi.org/10.1257/rct.10224-1.0
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Experimental Details

Interventions

Intervention(s)
We evaluate TechnoServe's agronomy training program, which covered several best practices in coffee growing: tree rejuvenation and pruning; fertilizer use; pest, disease and weed management; mulching; soil and water conservation; optimal shade; and record keeping. The training sessions took place once a month for eleven months in the first year of the program (starting in February 2010). TechnoServe conducted an additional five review training sessions after these sessions were over, with the last review session being held in October 2011.
Intervention Start Date
2010-02-01
Intervention End Date
2011-10-31

Primary Outcomes

Primary Outcomes (end points)
1. Knowledge of the agronomy best practices farmers were taught in the program
2. Self-reported adoption of these practices
3. Adoption as measured by our own tree audits
4. Input use (chemical fertilizer and labor)
5. Yields (KG/tree)
Primary Outcomes (explanation)
Knowledge index: this index averages fifteen standardized measures of what the farmer knows. It includes whether the farmer knows each of the ten methods used to control insects, pests and other diseases and how they should be used and whether the farmer knows each of five different fertilizers that should be used on coffee.

Adoption index: this index is the mean of nine standardized measures of which practices the farmer adopts. Importantly, these are collected using survey questions, and therefore measure self-reported adoption, as opposed to observed adoption. It includes whether the farmer adopted each of eight methods used to control insects, pests and other diseases, and whether the farmers kept a compost heap.

All audits index: this index is the mean of nine standardized measures of what the farmer adopts as per the observed tree audits. This index includes two measures of whether the farmer uses integrated pest management (whether old and dry berries are removed, whether
the bark is smoothed or banded to control white borer), whether the farmer used mulch, whether the tree was weeded, whether there are signs of rejuvenation, and four measures of pruning (removal of dead branches, removal of branches touching the ground, removal
of crossing branches, removal of unwanted suckers).

Leaf defects: this index is the mean of three standardized measures of leaf health from the tree audits. It includes: whether there are signs of the leaves yellowing, whether the leaves are curling and whether there are signs of the leaves rusting. A decrease in any of these measures would indicate an improvement in tree nutrition.

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
TNS identified 1,594 farmers (from 27 villages) to be part of the sample (all volunteered for the training program). Of the 1594, 855 farmers were randomly assigned to the treatment group to receive the agronomy training. The remaining 739 farmers were assigned to the control group and received no training at any point. In addition to this basic farmer level randomization, we randomized the 27 villages that had farmers that registered to be part of the training into three different levels of treatment concentration: in a third of villages, 25% of the registered farmers were treated, in a second third of villages, 50% of the registered farmers were treated, and in the final third of villages, 75% of the registered farmers were treated.
Experimental Design Details
Randomization Method
Oversubscription design
Randomization Unit
Household
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
27 villages
Sample size: planned number of observations
1594 households across 27 sample villages
Sample size (or number of clusters) by treatment arms
739 Control households
855 Treatment houeholds
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials

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IRB

Institutional Review Boards (IRBs)

IRB Name
MIT Committee on the Use of Humans as Experimental Subjects
IRB Approval Date
2009-11-30
IRB Approval Number
0910003479
Analysis Plan

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Post-Trial

Post Trial Information

Study Withdrawal

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Intervention

Is the intervention completed?
No
Data Collection Complete
Data Publication

Data Publication

Is public data available?
No

Program Files

Program Files
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials