Agroforestry Adoption Survey of 288 Households in Nepal

A survey of 288 households in Nepal examines factors influencing the adoption of agroforestry practices to combat land degradation. The data was collected via structured questionnaire and analyzed using a Multinomial Logistic Regression model. The study was authored by Arun Dhakal and is available through paperswithcode.

Use Cases

• Modeling adoption likelihood based on farmer gender and household headship.
• Analyzing the impact of off-farm income on agricultural practice decisions.
• Identifying adoption constraints related to farmland area and irrigation access.
• Studying the influence of livestock herd size and extension services on farming choices.
• Investigating the role of environmental awareness and group membership in technology adoption.

Strengths

• Survey data from 288 households provides a substantive sample.
• Analysis compares two agroforestry practices against conventional agriculture using a Multinomial Logistic Regression model.
• Examines multiple specific variables including gender, income, farm size, and livestock.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic bias inherent to a single study area in Nepal.

Provenance

Source

Arun Dhakal

Collection Method

Survey data collected via structured questionnaire from 288 households.

Geography

Nepal