Evaluation of the pilot project to improve soybean productivity in the Agricultural Development Centre 4 in Benin: An experimental study of gender-differentiated impact

Last registered on November 13, 2019

Pre-Trial

Trial Information

General Information

Title
Evaluation of the pilot project to improve soybean productivity in the Agricultural Development Centre 4 in Benin: An experimental study of gender-differentiated impact
RCT ID
AEARCTR-0005017
Initial registration date
November 13, 2019

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
November 13, 2019, 4:45 PM EST

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 School of Economics at Aix Marseille University
PI Affiliation
Grantham Research Institute, London School of Economics AND University of Pretoria, South Africa
PI Affiliation
Laboratoire d'Analyses et de Recherches sur les Dynamiques Economiques et Sociales (LARDES)
PI Affiliation
‪Union Nationale des Producteurs de Soja (UNPS Bénin)
PI Affiliation
Laboratoire d'Analyses et de Recherches sur les Dynamiques Economiques et Sociales (LARDES)
PI Affiliation
Laboratoire d'Analyses et de Recherches sur les Dynamiques Economiques et Sociales (LARDES)
PI Affiliation
Agence Territoriale de Développement Agricole 4 (ATDA 4)
PI Affiliation
Agence Territoriale de Développement Agricole 4 (ATDA 4)
PI Affiliation
Laboratoire d'Analyse Régionale et d'Expertise Sociale (LARES)
PI Affiliation
Ministère des Petites et Moyennes Entreprises et de la Promotion de l’Emploi

Additional Trial Information

Status
On going
Start date
2019-05-01
End date
2021-04-30
Secondary IDs
Abstract
We design a Randomized Controlled Trial (RCT) to evaluate the impact of a package set-up and implemented by the ‪Union Nationale des Producteurs de Soja (UNPS) to improve soybean productivity. We also explore whether choices made by households in terms of who will be the direct beneficiary of the intervention lead to a different outcome/impact than female biased targeting. Our experiment involves two levels of random assignment and three groups. First, we randomly assign eligible villages to either the treatment group or the control group. Second, in each treatment village, we randomly assign eligible households to two groups. In one group, households decide by themselves who between the husband and the wife will be the direct beneficiary of the intervention. In the other group, the wife is imposed as the beneficiary of the intervention.
External Link(s)

Registration Citation

Citation
ABIDOYE, Babatunde et al. 2019. "Evaluation of the pilot project to improve soybean productivity in the Agricultural Development Centre 4 in Benin: An experimental study of gender-differentiated impact." AEA RCT Registry. November 13. https://doi.org/10.1257/rct.5017-1.0
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Experimental Details

Interventions

Intervention(s)
The package we evaluate has two components: training and inputs delivery. The training component involves group training modules and monthly follow-up visits to individual farmers. Inputs are improved seeds, herbicide, inoculum, and fertilisers provided on credit. For the purpose of the evaluation, we provide inputs for 0.25 hectare of soybeans for each treated farmer. Effective participation in training is a precondition for receiving the inputs package.
Intervention Start Date
2020-01-20
Intervention End Date
2020-12-31

Primary Outcomes

Primary Outcomes (end points)
Productivity (Yield)
Primary Outcomes (explanation)
Quantity of soybeans harvested per ha

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Our experiment involves two levels of random assignment and three groups. First, we randomly assign eligible villages to either the treatment group or the control group. Second, in each treatment village, we randomly assign eligible households to two groups. In one group, households decide by themselves who between the husband and the wife will be the direct beneficiary of the intervention. In the other group, the wife is imposed as the beneficiary of the intervention.
Experimental Design Details
Our experimental design involves the following groups: Group_1) A treatment group in which households decide by themselves who between the husband and the wife will be the beneficiary of the intervention; Group_2) A treatment group in which the wife is imposed as the beneficiary of the intervention; Group_3) Control group in which households will not receive any intervention.

We use a 2-step randomization process. First (Step 1), at the village level, we randomly assign villages (clusters) to the treatment (Groups_1/2) or the control (Group_3). Second (Step 2), at the farmer-level in treatment villages, we random assign eligible households to Group_1 (where the choice of the beneficiary is made by households) or Group_2 (where the woman must be beneficiary).

Village eligibility criteria are: production of soybeans in the village; no history of capacity building activities led by UNPS or ABS in relation with soybean production; be on the UNPS expansion list; have at least 16 eligible households - in which both the man and woman who are in a relationship (living together) have produced soybeans during the past crop year (2019-2020): and be at least 10 km from the nearest eligible village. Before the village-level randomization, we pairwise match eligible villages based on climatic and soil conditions as well as distance to the main road. Then, we select randomly the required number of village pairs for randomization.

Households eligibility criteria are: household in which both the man and woman who are in a relationship (living together) have produced soy during the past crop year (2019-2020); have never benefited from the capacity building of UNPS, the ABS or other partners; have plans to produce soybean production during the 2020-2021 crop year on at least 0.25 ha; be willing and available to participate in project activities either as a treated or untreated household. First, we do a listing of eligible household to construct the sample framework. Second, we randomly select the required number of household for randomization.
Randomization Method
Public lottery
Randomization Unit
Units of randomization are villages (for the first level or randomization) and households (for the first level or randomization).
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
38 Villages
Sample size: planned number of observations
608 households. I each household, we will survey both the husband and the wife.
Sample size (or number of clusters) by treatment arms
Groups_1/2 (treatment): 19 villages.
Group_1 (households decide beneficiary): 152 Households
Group_2 (woman imposed beneficiary): 152 Households
Group_3 (control): 19 villages, 304 Households
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
MDE = 0.63 SD (for village level assignment) MDE = 0.36 SD (for household level assignment)
IRB

Institutional Review Boards (IRBs)

IRB Name
PEP Ethical Committee
IRB Approval Date
2019-08-15
IRB Approval Number
NA

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