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

416 smallholder farmers in the Siltie Zone, Central Ethiopia, were surveyed in a cross-sectional study. The dataset, created by Jemil Yasin Shifa and last updated in May 2026, examines the effect of Climate-Smart Agriculture adoption on reducing multidimensional poverty using GSEM, 2SLS, and PSM analytical approaches.

Use Cases

• Modeling the impact of CSA adoption on poverty indices based on the described GSEM, 2SLS, and PSM analytical approaches.
• Analyzing the relationship between the intensity of CSA practices and multidimensional deprivation scores.
• Evaluating policy interventions for promoting CSA based on the study's findings regarding targeted support.
• Studying rural poverty dimensions in a specific Ethiopian agro-ecological zone.

Strengths

• Data is based on a survey of 416 smallholder farmers, providing a specific sample size.
• Analytical rigor is indicated by the use of multiple methods (GSEM, 2SLS, PSM) to address endogeneity.
• The dataset has a clear, open license (CC-BY-4.0) facilitating reuse.

Limitations

• Row count and column-level documentation are unknown, requiring manual inspection after download.
• The dataset is very small at 5.5 KB, indicating limited scope or highly aggregated data.
• Data is from a single cross-sectional survey, limiting longitudinal analysis.

Provenance

Source

Jemil Yasin Shifa via figshare.

Collection Method

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

Time Range

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Freshness

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

Geography

Siltie Zone, Central Ethiopia.