605 smallholder farms across two representative agro-climatic districts in Zimbabwe provide evidence on the link between agroecology and poverty. The survey documented adoption of 32 improved farming practices, with 14 classified as agroecological, alongside household socio-economic characteristics. Frédéric Baudron authored this dataset, which was last updated in April 2026.
Use Cases
- Model the relationship between household poverty indicators and the adoption of the 14 classified agroecological practices.
- Cluster farms based on their socio-economic characteristics to identify typologies of agroecological practice adopters.
- Analyze the co-adoption patterns among the 32 documented improved farming practices across different agro-climatic zones.
- Assess the geographic distribution of practice adoption by linking farm data to the sub-humid and semi-arid survey districts.
Strengths
- Survey covers 605 farms, providing a substantive sample for analysis.
- Data captures 32 distinct farming practices, allowing for detailed adoption studies.
- Sampling design includes farms from two representative agro-climatic districts in Zimbabwe.
Limitations
- Sample size of 605 farms may limit granular sub-group analysis.
- Data is cross-sectional, preventing analysis of changes in practice adoption over time.
- Geographic coverage is limited to two districts within Zimbabwe.
Provenance
- Source
- Harvard Dataverse, authored by Frédéric Baudron.
- Collection Method
- Data collected via a household survey of smallholder farms.
- Time Range
- null
- Freshness
- null
- Geography
- Two representative districts (one sub-humid, one semi-arid) in Zimbabwe.