The impact of farmer field schools on the adoption of climate adaptation measures (AgrImpact)

Last registered on February 02, 2025

Pre-Trial

Trial Information

General Information

Title
The impact of farmer field schools on the adoption of climate adaptation measures (AgrImpact)
RCT ID
AEARCTR-0012955
Initial registration date
February 07, 2024

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
February 14, 2024, 11:57 AM EST

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

Last updated
February 02, 2025, 12:04 PM EST

Last updated is the most recent time when changes to the trial's registration were published.

Locations

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Primary Investigator

Affiliation
PIK

Other Primary Investigator(s)

PI Affiliation
Potsdam Institute for Climate Impact Research (PIK)
PI Affiliation
Potsdam Institute for Climate Impact Research (PIK)
PI Affiliation
Potsdam Institute for Climate Impact Research (PIK)
PI Affiliation
Centre National de Recherche Appliquée au Développement Rural FOFIFA/CENRADERU
PI Affiliation
Centre National de Recherche Appliquée au Développement Rural FOFIFA/CENRADERU
PI Affiliation
Potsdam Institute for Climate Impact Research (PIK)

Additional Trial Information

Status
On going
Start date
2024-02-02
End date
2025-12-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Climate change threatens smallholder farmers' agricultural production and food security in the Global South, and agroecological practices are a promising adaptation strategy. AgrImpact aims to determine the effectiveness of farmer field schools in supporting farmers to apply agroecological practices in the short term, using a randomized controlled trial (RCT). The initiative will conduct an RCT of the GIZ project PrAda II, using farmer field schools to support adopting these practices. The FFS target five value chains: pepper, cloves, honey, coffee, and vanilla. Farmers will be randomly assigned to a treatment or control condition in each area, and a sub-sample of these farmers will be surveyed both before and after the intervention. The results will be used to evaluate the suitability of farmer field schools in supporting farmers to adopt these more complex practices, as well as indicating short-term barriers, providing a scientific basis for decision-making on interventions to support the adoption of agroecological practices.
External Link(s)

Registration Citation

Citation
Gornott, Christoph et al. 2025. "The impact of farmer field schools on the adoption of climate adaptation measures (AgrImpact)." AEA RCT Registry. February 02. https://doi.org/10.1257/rct.12955-3.0
Sponsors & Partners

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Experimental Details

Interventions

Intervention(s)
The evaluation aims to test the effectiveness of farmer field schools in teaching farmers agroecological practices and facilitating their adaptation to climate change. The training program enrolls farmers who reside within a treatment area, have stated their interest in joining the program, and have sufficiently large production systems in the target value chains of pepper, cloves, honey, coffee, and vanilla.
Intervention Start Date
2024-02-15
Intervention End Date
2024-07-01

Primary Outcomes

Primary Outcomes (end points)
Adaptation practice adoption scores
Primary Outcomes (explanation)
The training aims at teaching farmers how to adapt their agriculture with practices that benefit both harvests and the environment. To assess take up, we count the number of practices adopted and the degree to which these are implemented (both specially and across plants). For a given practice, the farmers considered for evaluation will only be those that produced the given value chain pre-intervention.

Secondary Outcomes

Secondary Outcomes (end points)
Adaptation practice knowledge scores.
Household and individual food security
Household income
Secondary Outcomes (explanation)
The training aims to teach farmers how to adapt their agriculture to practices that benefit both harvests and the environment. A short knowledge test will be used to assess knowledge transfer. Knowledge questions will only be evaluated for the value chains that the farming household had produced prior to the intervention.

Some of the taught practices should directly impact farmers’ food security. Food security will be measured on an individual level using the Food Insecurity Experience Scale (FIES/FAO) and on the household level using the World Food Program’s Food Consumption Score Module.

Though the full effect of the promoted FFS activities will not take place within the evaluation period, adopted practices may lead to a reallocation of labor within the household and, therefore, affect income in the short term.

Experimental Design

Experimental Design
This randomized control trial (RCT) will compare the impact of Farmer Field School (FFS) to a control condition that receives no intervention. After listing and screening by the implementing partner, the research team made a randomized allocation on the farmer level to the treatment or control condition and selected a sample for inclusion in the survey component. The survey treatment and control sub-samples were intended to be balanced between arms on gender.
Baseline process: The sampling lists for the survey were sent to the survey team for a field survey without disclosure of the treatment allocation. During the field survey, farmers consented with recorded verbal or written documentation. At the end of the field survey in each area, lists of the farmers to be treated in each area will bewere sent to the implementation organization in order to begin intervention activities. Due to delays in receipt of the sampling lists, an in-person baseline survey was not conducted in 3 out of the initially 4 planned sites in Anosy. Due to further delays in implementation in these 3 areas, these were dropped from evaluation, resulting in a reduced sample size and the evaluation taking place in 10 FFS sites (see details below). Our primary outcomes will be based on intention to treat analysis with key baseline covariates included to improve precision.

Due to the reported absence of an intervention on the day prior to field work in at least one area, we will undertake a per protocol analysis using the randomization assignment as an instrumental variable as recommended for pragmatic trials with incomplete adherence. Per protocol is defined as attending any session at the farmer field school.
Experimental Design Details
Not available
Randomization Method
Random selection of the survey sample and random assignment to the treatment and intervention arms will be performed by site using random numbers generated in Stata.
Randomization Unit
Individual assignment
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
10 sites
Sample size: planned number of observations
800 farmers at endline
Sample size (or number of clusters) by treatment arms
Sample size by treatment arm will vary based on the number of eligible farmers able to be interviewed by site. At this time we estimate that there will be completed surveys from 435 farmers in the treatment group and 365 in the control group.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
The trial is powered at 90% to detect a standardized effect size of 0.40 in the number of CSA practices taken up by FFS participants compared to controls, in line with the midpoint of the impact of studies with medium risk of bias (0.22) and overall (0.63) reported in Waddington et al. (2014). This person-randomised, blocked trial will include 10 FFS sites with an estimated 80 completed surveys completed in each area, for a total completed sample of 800 participants. To account for survey attrition, we have included 58 additional farmers in our sample. We assumed an alpha of 0.05, an effect size variability of 0.05, and covariates and the blocking variable each explaining 0.1 of the variability in the final model. This sample size is also sufficient to measure the larger effect sizes seen in the number of improved agricultural techniques practiced (Waddington et al., 2014). Due to the randomization procedure, effects can be causally attributed to the treatment with FFS.
IRB

Institutional Review Boards (IRBs)

IRB Name
die zentrale Ethikkommission der Universität Kassel
IRB Approval Date
2023-03-14
IRB Approval Number
zEK-51-Variation AgrImpact