Jaba Rani Sarker published a dataset on 2026-04-29 containing results from a discrete choice experiment analyzing smallholder farmer preferences for climate-resilient rice varieties in coastal Bangladesh. The data includes model outputs from Random Parameter Logit and Latent Class Models, revealing three distinct farmer segments with varying willingness to pay. The dataset is 5.5 KB in size and is stored in an XLS file format.
Use Cases
- Segmenting farmer populations for targeted agricultural extension programs based on preference heterogeneity.
- Modeling willingness to pay for agricultural technology attributes like salt tolerance, yield, and profitability.
- Analyzing the influence of socio-economic factors such as age, savings, and land size on technology adoption choices.
Strengths
- Dataset is openly licensed under CC-BY-4.0, permitting broad reuse.
- Analysis reveals three distinct farmer segments with quantified membership percentages: 46.5%, 33.2%, and 20.3%.
- Findings are based on discrete choice experiment methodology, a standard for preference elicitation.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment for certain modeling tasks.
- The dataset is very small at 5.5 KB, indicating limited scope, likely containing only model results rather than raw survey data.
Provenance
- Source
- Jaba Rani Sarker via figshare.
- Collection Method
- Data likely originates from a discrete choice experiment survey of smallholder farmers.
- Freshness
- Last updated 2026-04-29 17:57:32; freshness should be verified.
- Geography
- Coastal regions of Bangladesh.