Ghanaian smallholder cocoa farmers' perceptions and constraints regarding cash, non-cash, and blended agricultural credit. The data explores the impact of these credit types on farmer welfare. It was authored by Joseph Acheampong and last updated on April 14, 2026.
Use Cases
- Analyze farmer perceptions of different credit types based on the described survey of constraints.
- Model the impact of blended credit on welfare based on the described welfare impact study.
- Compare the effectiveness of cash versus non-cash agricultural credit based on the described credit types.
Strengths
- Focuses on a specific, economically significant crop (cocoa) and region (Ghana).
- Examines three distinct credit modalities (cash, non-cash, blended) as described.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
Provenance
- Source
- Harvard Dataverse
- Collection Method
- Likely contains survey data from smallholder farmers.
- Freshness
- Last updated 2026-04-14 01:40:47; freshness should be verified.
- Geography
- Ghana