Climate-Smart Agriculture Adoption and Multidimensional Poverty in Central Ethiopia

416 smallholder farmer survey records from the Siltie Zone, Central Ethiopia, used to investigate the effect of Climate-Smart Agriculture adoption on multidimensional poverty. The dataset was created by Jemil Yasin Shifa and last updated in May 2026. It employs analytical approaches like GSEM, 2SLS, and PSM to address potential endogeneity.

Use Cases

• Modeling the impact of CSA adoption on poverty indices based on the constructed Multidimensional Poverty Index.
• Applying propensity score matching techniques based on the described PSM analytical approach.
• Analyzing the relationship between CSA practice intensity and development outcomes based on the study's focus.
• Investigating rural poverty dimensions in a specific geographic context based on the data from the Siltie Zone.

Strengths

• Dataset is openly licensed under CC-BY-4.0, permitting broad reuse.
• Focus on a specific geographic region (Siltie Zone, Central Ethiopia) provides contextual clarity.
• Employs multiple analytical methods (GSEM, 2SLS, PSM) as described in the study.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• Column-level documentation is absent; field semantics must be inferred after download.
• Based on cross-sectional data, which may limit the analysis of trends over time.

Provenance

Source

figshare

Collection Method

Cross-sectional data collected from 416 smallholder farmers selected using a multi-stage sampling procedure.

Time Range

null

Freshness

Last updated 2026-05-04 17:36:07; freshness should be verified.

Geography

Siltie Zone, Central Ethiopia