South-western coastal Bangladesh is the focus of this household survey data from 840 rice farmers. The data was collected as part of a PhD in Agricultural Economics at Khulna University and includes information on demographics, farm characteristics, institutional access, economics, and adoption of improved technologies. The main outcome variable is the adoption intensity of technologies, measured as a count or score per farm.
Use Cases
- Modeling determinants of technology adoption intensity based on household and farm characteristics.
- Analyzing the relationship between institutional access variables and the adoption of climate-smart practices.
- Identifying economic factors influencing the uptake of high-yielding or stress-tolerant rice varieties.
Strengths
- Data is fully anonymized with no personally identifiable information included.
- Survey covers 840 households across five key thematic areas, providing multi-dimensional detail.
- The main outcome variable, adoption intensity, is a defined quantitative measure.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment for large-scale modeling.
- Data may reflect geographic bias inherent to the specific coastal region of Bangladesh.
Provenance
- Source
- PhD research conducted at the Economics Discipline, Khulna University, Bangladesh.
- Collection Method
- Household survey.
- Time Range
- null
- Freshness
- Last updated 2026-05-04 13:20:53; freshness should be verified.
- Geography
- South-western coastal Bangladesh.