Household survey data from 840 rice farmers in south-western coastal Bangladesh, collected for a PhD in Agricultural Economics at Khulna University. Variables cover household demographics, farm systems, institutional access, economic characteristics, and adoption of improved agricultural technologies. All analyses were conducted in STATA 19.5.
Use Cases
- Modeling determinants of agricultural technology adoption intensity based on household and farm characteristics.
- Analyzing the relationship between institutional access variables and technology adoption decisions.
- Studying the economic characteristics of rice farming households in a coastal region.
- Benchmarking adoption rates and practices for agricultural extension programs.
Strengths
- Data from 840 surveyed households provides a substantive sample size.
- Variables are organized into five defined domains, suggesting structured data collection.
- Analysis conducted with STATA 19.5, indicating potential for reproducible statistical workflows.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- PhD research in Agricultural Economics at Khulna University (Economics Discipline), authored by Apurba Kumar Datta.
- Collection Method
- Household survey.
- Time Range
- null
- Freshness
- Last updated 2026-04-29 17:47:45; freshness should be verified.
- Geography
- South-western coastal Bangladesh.