Introducing ICT-enabled climate services to build smallholder farmers resilience: Evidence from an experimental study in Benin

Last registered on July 08, 2022

Pre-Trial

Trial Information

General Information

Title
Introducing ICT-enabled climate services to build smallholder farmers resilience: Evidence from an experimental study in Benin
RCT ID
AEARCTR-0009294
Initial registration date
July 05, 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
July 08, 2022, 9:30 AM EDT

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

Locations

Region

Primary Investigator

Affiliation
Faculty of Agronomy, University of Parakou (Benin)

Other Primary Investigator(s)

PI Affiliation
Aix-Marseille University, France
PI Affiliation
University of Parakou, Benin
PI Affiliation
University of Hamburg, Germany
PI Affiliation
Vrije Universiteit Amsterdam, Netherlands

Additional Trial Information

Status
In development
Start date
2022-04-01
End date
2024-12-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
In smallholder farming systems, climate variability is one of the major challenges that lead to inefficiency in resource allocation, lower productivity and income. Climate services have increasingly been acknowledged to help build resilience through efficiency gains in the form of production cost decreases and productivity increases. Most of the existing climate service initiatives are implemented as pilots and their impact evaluations so far indicate positive effects on productivity and income, for instance. Despite these promising results, there is no evidence on how the successful pilot initiatives could be scaled-up. We design an experimental study to test at a large scale the effectiveness of selected scaling approaches to promote climate services for smallholder farmers. The initiative that we will test is a service package that involves a one-time group training, the provision of village specific precipitation forecasts through mobile phone SMS and a technical follow-up either in person by extension officers or via mobile phone. Our identification strategy will rely on a Clustered Randomized Controlled Trial (CRCT) design, involving two treatment groups that differ on the type of technical support (in-person vs phone-based). We assess the impact of the intervention on labor allocation (including female farmers labor), crop yield and income. We also consider secondary outcome variables such as knowledge, attitude and beliefs with respect to climate services service in general and weather forecasts in particular. Our study has the potential to generate rigorous evidence on the effectiveness of different approaches to promote climate services. This can inform policy decision makers but also contribute to the current literature on the impact of climate services and the role of ICT-enabled extension in building farmer’s resiliency.
External Link(s)

Registration Citation

Citation
Djebbari, Habiba et al. 2022. "Introducing ICT-enabled climate services to build smallholder farmers resilience: Evidence from an experimental study in Benin." AEA RCT Registry. July 08. https://doi.org/10.1257/rct.9294-1.0
Sponsors & Partners

Sponsors

There is information in this trial unavailable to the public. Use the button below to request access.

Request Information
Experimental Details

Interventions

Intervention(s)
The intervention that we intend to test is a climate service designed as a package that involves a one-time group training, the provision of village specific precipitation forecasts through mobile phone SMS and a technical follow-up either in person by extension officers or via mobile phone.
Intervention Start Date
2022-05-22
Intervention End Date
2022-12-31

Primary Outcomes

Primary Outcomes (end points)
Labor allocation to farming activities
Yied
Crop income
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Farmers’ awareness and behaviors (KAP) towards climate services
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We will randomly assign villages in of the following groups: Pure control group, CS + In-person support group and CS + Phone support group.
Experimental Design Details
Not available
Randomization Method
Public lottery
Randomization Unit
Villages
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
105 Villages
Sample size: planned number of observations
30 farmers per village, implying 3,150 farmers in total
Sample size (or number of clusters) by treatment arms
35 villages in pure control group
35 villages in CS + in-person follow-up group
35 villages in CS + phone-based follow-up group
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
To compare two groups, with a total number of 70 clusters with 5 randomization sites and 25 farmers per clusters we can detect a small to medium effect sizes between 0.20 SD and 0.33 SD with 80% power. Considering the baseline values as suggested by the pilot study on CS in Benin (Yegbemey et al., 2021), the anticipated effects sizes this implies MDEs between 4,366 and 7,719 XOF/ha for labor, 305 and 500 kg/ha for yield. Considering that the average daily pay in agriculture is about XOF 2,000, the saving in term of labor can be between 5 to 10 days. These MDEs are realistic given the pilot experiment. Considering that attrition rate will not exceed 10% the final sample we hope to have up to 30 farmers (about 30% more) involved per village, implying up to 3,150 farmers.
IRB

Institutional Review Boards (IRBs)

IRB Name
PEP IRB BOARD
IRB Approval Date
2022-06-06
IRB Approval Number
NA