An Empirical Study on Supporting Joint Decision-Making by Couples to Promote Sustainable Farm Management and Income Improvement in Ghana

Last registered on January 17, 2025

Pre-Trial

Trial Information

General Information

Title
An Empirical Study on Supporting Joint Decision-Making by Couples to Promote Sustainable Farm Management and Income Improvement in Ghana
RCT ID
AEARCTR-0015198
Initial registration date
January 14, 2025

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
January 17, 2025, 6:56 AM EST

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

Locations

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Primary Investigator

Affiliation
Japan Research Center for Agricultural Sciences

Other Primary Investigator(s)

PI Affiliation
Japan Research Center for Agricultural Sciences
PI Affiliation
Japan Research Center for Agricultural Sciences
PI Affiliation
University for Development Studies

Additional Trial Information

Status
In development
Start date
2025-02-01
End date
2028-03-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
This study investigates the role of providing farm households with management diagnostics based on a tailored Farm Business Model (FBM) to enhance agricultural management practices and increase farmer incomes. Additionally, it examines the impact of joint decision-making by couples within farming households on economic and productivity outcomes. The research focuses on two key objectives:
1. Effectiveness of the Farm Business Model (FBM):
The study evaluates how FBM-based management guidance contributes to income enhancement for farmers. It emphasizes that beyond delivering technical information, highlighting tangible economic benefits and productivity improvements fosters greater adoption of recommended practices.
2. Significance of Joint Decision-Making:
This research hypothesizes that active participation of both spouses in household decision-making improves farm management efficiency. By comparing the outcomes of jointly delivered versus individually delivered information to spouses, the study assesses the impact of cooperative decision-making on income, productivity, and overall household welfare.
External Link(s)

Registration Citation

Citation
Awuni, Joseph et al. 2025. "An Empirical Study on Supporting Joint Decision-Making by Couples to Promote Sustainable Farm Management and Income Improvement in Ghana." AEA RCT Registry. January 17. https://doi.org/10.1257/rct.15198-1.0
Experimental Details

Interventions

Intervention(s)
This intervention aims to enhance agricultural income by providing tailored farm management strategies based on each household’s crop cultivation patterns and technology use. The solutions are designed using crop cultivation data collected in 2013 and 2015, offering customized recommendations tailored to the specific characteristics of each farm. These recommendations include crop selection, land allocation, and the use of existing technology, carefully analyzed and thoughtfully designed.

To ensure effective implementation, extension agents from the Ministry of Food and Agriculture (MoFA) will receive comprehensive training on how to interpret and deliver these tailored solutions. This training focuses on equipping agents with the skills to effectively communicate strategies to farmers and address any questions or concerns that may arise. Following the training, extension agents will visit participating farms to distribute and explain the tailored solutions, provide guidance on proper implementation, and offer on-site support.
Intervention Start Date
2025-04-14
Intervention End Date
2025-05-31

Primary Outcomes

Primary Outcomes (end points)
Household decision-making dynamics, Farm revenue, profit, productivity, and adoption status of each proposed practice
Primary Outcomes (explanation)
The outcome variable “household decision-making dynamics” will be constructed using a bean allocation exercise designed to quantify the distribution of decision-making power between the household head and their spouse across various domains. Participants are provided with 10 beans and asked to allocate them between themselves and their spouse based on their respective influence in making specific decisions.

Key Decision Domains:
1. Agricultural Decisions:
• Crop Selection: Allocation of beans based on decisions about what crops to cultivate.
• Seed Choice: Decisions regarding whether to buy high-yield seed varieties or continue using traditional seeds.
• Farm Equipment: Choices about purchasing new farm equipment or continuing with existing tools.
• Livestock Management: Decisions about when to sell off livestock.

2. Financial Decisions:
• Use of Cash from Crops: Allocation of income from the sale of cash crops.
• Use of Cash from Livestock: Allocation of income from the sale of livestock.
• Market Choices: Decisions about where to sell cash crops.

3. Household Welfare Decisions:
• Food Choices: Decisions about what foods to feed the family.
• Child Education: Decisions regarding whether to send children to school.

4. Adoption of Innovations:
• Decisions on whether to adopt new farming practices or innovations, such as high-yield seeds or new techniques.

Construction of the Index:
• Bean Allocation Data: The proportion of beans allocated to each individual (self vs. spouse) for each decision will serve as a measure of decision-making power in that domain.
• Joint Decision Index: A sub-index will be created to capture the degree of shared decision-making by summing the domains where beans are equally distributed (5:5).
• Dominance Index: A measure will capture the concentration of decision-making power when one individual consistently allocates a majority of beans (e.g., 8:2 or 9:1) across multiple domains.

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
[The study on couple training]
To assess whether providing tailored farm management information to both the household head and their spouse is more effective in improving agricultural outcomes and technology adoption than providing it to the household head alone, the households are divided into the following groups:

• Treatment Group 1: Tailored solutions are provided and explained to the household head only.
• Treatment Group 2: Tailored solutions are provided and explained to both the household head and their spouse, promoting joint decision-making and participation.
• Control Group: No tailored solutions or related information are provided.

[The study on multiple training]
To evaluate whether providing tailored agricultural information to farmers twice over two years is more effective in improving agricultural outcomes and technology adoption than providing it only once in a single year, households are divided into the following groups:

Experimental Groups:
• Pure Control Group: No solutions are provided.
• T1 (Single Intervention in 2025): Tailored solutions are provided in 2025 only.
• T2 (Single Intervention in 2027): Tailored solutions are provided in 2027 only.
• T3 (Double Intervention in 2025 and 2027):Tailored solutions are provided in both 2025 and 2027.
Experimental Design Details
Not available
Randomization Method
Randomization done in office by a computer
Randomization Unit
Village
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
40 Villages
Sample size: planned number of observations
981 households
Sample size (or number of clusters) by treatment arms
The study on couple training involves:
10 villages assigned to the control group, 15 villages receiving training provided to the household head only, and 15 villages receiving training provided to both the household head and their spouse.

The study on multiple training involves:
10 villages assigned to the control group, 10 villages receiving training in 2025, 10 villages receiving training in 2027, and 10 villages receiving training in both 2025 and 2027.
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
Japan Research Center for Agricultural Sciences
IRB Approval Date
2024-12-17
IRB Approval Number
24121013