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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
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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
Last updated
November 13, 2019 4:45 PM EST
Location(s)

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Primary Investigator
Name
Rosaine N. Yegbemey
Affiliation
Faculty of Agronomy, University of Parakou (Benin)
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Other Primary Investigator(s)
PI Name
Habiba DJEBBARI
PI Affiliation
Aix Marseille School of Economics at Aix Marseille University
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PI Name
Babatunde ABIDOYE
PI Affiliation
Grantham Research Institute, London School of Economics AND University of Pretoria, South Africa
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PI Name
Esther OGOUNIYI ADIMI
PI Affiliation
Laboratoire d'Analyses et de Recherches sur les Dynamiques Economiques et Sociales (LARDES)
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PI Name
Fortuné AMONSOU BIAOU
PI Affiliation
‪Union Nationale des Producteurs de Soja (UNPS Bénin)
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PI Name
Régina Dossi Clarisse BONOU-ZIN
PI Affiliation
Laboratoire d'Analyses et de Recherches sur les Dynamiques Economiques et Sociales (LARDES)
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PI Name
Jonas C. F. DASSOUNDO-ASSOGBA
PI Affiliation
Laboratoire d'Analyses et de Recherches sur les Dynamiques Economiques et Sociales (LARDES)
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PI Name
Kassim ISSAKA
PI Affiliation
Agence Territoriale de Développement Agricole 4 (ATDA 4)
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PI Name
Philomene BIAOU
PI Affiliation
Agence Territoriale de Développement Agricole 4 (ATDA 4)
PI Name
Faridath ABOUDOU MERE
PI Affiliation
Laboratoire d'Analyse Régionale et d'Expertise Sociale (LARES)
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PI Name
Hamissou AFFO DAOUDOU
PI Affiliation
Ministère des Petites et Moyennes Entreprises et de la Promotion de l’Emploi
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Additional Trial Information
Status
On going
Start date
2019-05-01
End date
2021-04-30
Keywords
Agriculture, Gender
Additional Keywords
JEL code(s)
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
Not available
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)
Supporting Documents and Materials
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
PEP Ethical Committee
IRB Approval Date
2019-08-15
IRB Approval Number
NA
Analysis Plan