Study Overview
- Title:
- The Effect of Demonstration Plots and the Warehouse Receipt System on ISFM Adoption, Yield and Income of Smallholder Farmers in Malawi
- Study is 3ie funded:
- No
- Study ID:
- RIDIE-STUDY-ID-594a087632c1a
- Initial Registration Date:
- 06/21/2017
- Last Update Date:
- 06/21/2017
- Study Status:
- Ongoing
- Location(s):
- Malawi
- Abstract:
Established in 2008, the Anchor Farm Model of the Clinton Development Initiative is designed to increase agricultural production, income and food security through promotion of the adoption of yield-enhancing integrated soil fertility management practices (ISFM) - and soybean production in particular - by smallholder farmers in central Malawi. To reach this goal, CDI disseminates production knowledge and improves farmers’ access to markets and storage. In this research study, we support CDI in this scale-up. We use the random assignment of 250 villages into various treatment arms to establish the impacts of these interventions on farmers’ welfare. Using detailed panel data, we identify the channels through which impacts take place and explore heterogeneity across households. The latter allows us to draw lessons for SSA with the goal of increase ISFM adoption across the continent.
Change History for AbstractChanged On Previous Value 06/21/2017 The Anchor Farm Model (AFM) of Clinton Development Initiatives (CDI) uses a multipronged approach to address these issues. Established in 2008, the AFM is designed to increase agricultural production, income and food security through promotion of the adoption of yield-enhancing integrated soil fertility management practices (ISFM) - and soybean production in particular - by smallholder farmers in central Malawi. To reach this goal, CDI disseminates production knowledge and improves farmers’ access to markets and storage. In this research study, we support CDI in this scale-up. We use the random assignment of 250 villages into various treatment arms to establish the impacts of these interventions on farmers’ welfare. Using detailed panel data, we identify the channels through which impacts take place and explore heterogeneity across households. The latter allows us to draw lessons for SSA with the goal of increase ISFM adoption across the continent.
- Registration Citation:
Maertens and Michelson, H., 2016. The Effect of Demonstration Plots and the Warehouse Receipt System on ISFM Adoption, Yield and Income of Smallholder Farmers in Malawi. Registry for International Development for Impact Evaluations (RIDIE). Available at: 10.23846/ridie115
- Categories:
- Agriculture and Rural Development
- Additional Keywords:
- Agriculture, Extension, Social Learning, Integrated Soil Fertility Management, Markets
- Secondary ID Number(s):
- TW4.1018 (3IE ID number)
Principal Investigator(s)
- Name of First PI:
- Maertens
- Affiliation:
- Sussex University
- Name of Second PI:
- Hope Michelson
- Affiliation:
- University of Illinois at Urbana Champaign
Study Sponsor
- Name:
- 3IE
- Study Sponsor Location:
Research Partner
- Name of Partner Institution:
- The University of Malawi
- Type of Organization:
- Research institute/University
- Location:
- Malawi
Intervention Overview
- Intervention:
The Anchor Farm Model (AFM) of the Clinton Development Initiative (CDI) aims to increase agricultural production, income and food security through adoption of Integrated Soil Fertility Management practices (ISFM) - and soybean production in particular - by smallholder farmers in Malawi. To reach this goal: (i) CDI disseminates production knowledge through the use of demonstration plots, lead farmers and farmer field days; (ii) CDI improves farmers’ access to input markets, in particular credit and seed markets through CDI’s contract with seed companies and intermediary role in the credit market; (iii) CDI provides access to structured output markets through its established relationship with international soybean buyers. CDI primarily works with farmers in groups, organizing farmers into clubs of 10 to 20 members. Each club elects a leader who is provided with inputs and trained at the AF in soy production, ISFM techniques, postharvest practices and receives information on commodity markets. CDI aims to scale-up this project across the country. In this scale-up, CDI aims at both improving the current set of interventions as well as adding new interventions.
- Theory of Change:
- Multiple Treatment Arms Evaluated?
- Yes
Implementing Agency
- Name of Organization:
- Clinton Development Initiative
- Type of Organization:
- NGO (International)
Program Funder
- Name of Organization:
- 3IE
- Type of Organization:
- Research Institution/University
Intervention Timing
- Intervention or Program Started at time of Registration?
- Yes
- Start Date:
- 09/01/2014
- End Date:
- 09/01/2019
Evaluation Method Overview
- Primary (or First) Evaluation Method:
- Randomized control trial
- Other (not Listed) Method:
- Additional Evaluation Method (If Any):
- Matching
- Other (not Listed) Method:
Method Details
- Details of Evaluation Approach:
We use a Randomized Controlled Trial (RCT) to evaluate the impacts of AFM’s access to credit-based demonstration plots and warehouse receipt system. In Fall 2014, we selected two Extension Planning Areas which had not been covered by CDI before: Mthumtama in Kasungu district and Chibvala in Dowa district. We randomly selected 250 villages out of 303 villages present in these two EPAs (excluding villages with less than 50 farming households) and randomly assigned these villages into a treatment and a control group. Villages in the treatment group were exposed to CDI’s extension activities during the 2014-15 and 2015-16 agricultural season. In 2016, we – again randomly – subdivided the villages in the treatment group into two groups. Only one group will be exposed to CDI’s marketing and storage activities throughout the next two seasons. We evaluate the effects of the CDI interventions midway – in 2016 – and at the end – in 2019.
- Outcomes (Endpoints):
Income (agricultural), yield (of maize, soy and groundnut), adoption of integrated fertility and soil management practices and knowledge and beliefs
- Unit of Analysis:
- Individual farmer level
- Hypotheses:
- Unit of Intervention or Assignment:
- Village level
- Number of Clusters in Sample:
- Number of Individuals in Sample:
- 2500
- Size of Treatment, Control, or Comparison Subsamples:
- 65
Supplementary Files
- Analysis Plan:
- Other Documents:
Outcomes Data
- Description:
- Household survey
- Data Already Collected?
- No
- Data Previously Used?
- Data Access:
- Data Obtained by the Study Researchers?
- Data Approval Process:
- Approval Status:
Treatment Assignment Data
- Participation or Assignment Information:
- Yes
- Description:
- Data Obtained by the Study Researchers?
- Data Previously Used?
- Data Access:
- Data Obtained by the Study Researchers?
- Data Approval Process:
- Approval Status:
Data Analysis
- Data Analysis Status:
Study Materials
- Upload Study Materials:
Registration Category
- Registration Category:
- Prospective, Category 1: Data for measuring impacts have not been collected
Completion Overview
- Intervention Completion Date:
- Data Collection Completion Date:
- Unit of Analysis:
- Clusters in Final Sample:
- Total Observations in Final Sample:
- Size of Treatment, Control, or Comparison Subsamples:
Findings
- Preliminary Report:
- Preliminary Report URL:
- Summary of Findings:
- Paper:
- Paper Summary:
- Paper Citation:
Data Availability
- Data Availability (Primary Data):
- Date of Data Availability:
- Data URL or Contact:
- Access procedure:
Other Materials
- Survey:
- Survey Instrument Links or Contact:
- Program Files:
- Program Files Links or Contact:
- External Link:
- External Link Description:
- Description of Changes:
Study Stopped
- Date:
- Reason: