Climate-Smart Agriculture Adoption and Multidimensional Poverty in Siltie Zone, Ethiopia

Jemil Yasin Shifa's dataset investigates the effect of Climate-Smart Agriculture adoption on multidimensional poverty reduction in the Siltie Zone, Central Ethiopia. It contains cross-sectional data from 416 smallholder farmers, collected using a multi-stage sampling procedure. The data was last updated on 2026-05-04.

Use Cases

• Modeling the relationship between CSA adoption and poverty indices based on the constructed Multidimensional Poverty Index.
• Assessing the intensity of CSA practice adoption among smallholder farmers as described in the study.
• Evaluating the impact of targeted agricultural policy interventions using the analytical approaches (GSEM, 2SLS, PSM) mentioned.
• Analyzing rural development outcomes based on the connection between sustainable practices and inclusive poverty reduction.

Strengths

• Dataset is based on a specific sample of 416 smallholder farmers.
• Study employs multiple analytical approaches (GSEM, 2SLS, PSM) to address potential endogeneity.
• Data is openly available under a CC-BY-4.0 license.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 5.5 KB, indicating limited scope.

Provenance

Source

Jemil Yasin Shifa via figshare.

Collection Method

Cross-sectional data collected from smallholder farmers using a multi-stage sampling procedure.

Time Range

null

Freshness

Last updated 2026-05-04 17:36:02; freshness should be verified.

Geography

Siltie Zone, Central Ethiopia.