Survey of 149 Maize Farmers in Ghana on Climate Risk and Adaptation

149 maize farmers across three communities in Ghana's Ashanti Region were surveyed to analyze climate impacts on productivity. The study, authored by Stephen Yeboah, uses Partial Least Squares Structural Equation Modelling to quantify the mediating role of five agroecological practices. Results show climate risk caused a 51.5% decline in pest management effectiveness and a 55.2% reduction in adaptive cropping systems.

Use Cases

• Modeling the direct and indirect effects of climate risk on crop yields based on the described structural equation model.
• Analyzing the effectiveness of specific agroecological practices like water management and tillage as mediators of climate impacts.
• Conducting gender-disaggregated analysis of adaptive gains, particularly the stronger water–productivity relationship observed among women farmers.

Strengths

• Includes gender-disaggregated analysis, revealing a stronger positive water–productivity relationship among women farmers.
• Quantifies specific impacts, such as climate risk accounting for a 51.5% decline in pest management and a 55.2% reduction in adaptive cropping systems.
• Data is from a focused survey of 149 farmers across three communities in a defined semi-deciduous forest zone.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small at 24.9 KB, indicating limited scope and likely summary or supplementary data.

Provenance

Source

Stephen Yeboah via figshare.

Collection Method

Survey data from 149 maize farmers analyzed using Partial Least Squares Structural Equation Modelling (PLS-SEM).

Freshness

Last updated 2026-04-23 05:27:01; freshness should be verified.

Geography

Three communities in the Atwima Nwabiagya South Municipality, Ashanti Region, Ghana (semi-deciduous forest zone).