Climate-Smart Agriculture Adoption and Multidimensional Poverty in Central Ethiopia

Cross-sectional survey data from 416 smallholder farmers in the Siltie Zone, Central Ethiopia, collected to investigate the effect of Climate-Smart Agriculture adoption on multidimensional poverty. The dataset includes constructed indices for CSA adoption and a Multidimensional Poverty Index, analyzed using GSEM, 2SLS, and PSM methods. It was authored by Jemil Yasin Shifa and last updated on May 4, 2026.

Use Cases

• Modeling the impact of CSA adoption on poverty reduction based on the constructed MPI and CSA indices.
• Assessing potential endogeneity in agricultural adoption studies using the GSEM, 2SLS, and PSM analytical approaches mentioned.
• Analyzing the relationship between the intensity of CSA practices and multidimensional deprivation scores across different dimensions.
• Informing targeted policy interventions for promoting CSA practices as a development strategy.

Strengths

• Data is based on a survey of 416 smallholder farmers, providing a specific sample size.
• Includes constructed indices for Climate-Smart Agriculture adoption and a Multidimensional Poverty Index.
• Analytical approaches (GSEM, 2SLS, PSM) are specified to address potential endogeneity.

Limitations

• Row count and column-level documentation are unknown; field semantics must be inferred after download.
• The dataset is very small at 5.5 KB, indicating limited scope or a summary-level dataset.
• Data is from a single cross-sectional survey in one Ethiopian zone, which may limit generalizability.

Provenance

Source

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 17:36:06; freshness should be verified.

Geography

Siltie Zone, Central Ethiopia