Survey Data on Rice Water-Saving Technology Adoption Among Farmers in Liaoning, China

Shanshan Hou's research dataset investigates the relationship between information acquisition and the adoption of water-saving technology among rice farmers in Liaoning Province, China. The study employs a double machine learning technique on survey data to analyze factors influencing adoption behavior across stages like land preparation and irrigation. The dataset was last updated on 2026-05-07.

Use Cases

• Modeling technology adoption behavior based on survey responses about information acquisition and value perception.
• Analyzing heterogeneity in adoption effects based on farmer characteristics like full-time status and farm scale.
• Conducting mediation analysis to understand how perceived ease of use influences the relationship between information and adoption.
• Comparing the impact of information acquisition across different stages of rice production (land preparation, seedling cultivation, irrigation, field management).

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• The research methodology is explicitly described as using a double machine learning technique on survey data.
• The geographic scope is clearly defined as Liaoning Province, China.

Limitations

• The dataset is very small at 346.3 KB, suggesting limited scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Shanshan Hou via figshare.

Collection Method

Survey data from rice farmers.

Freshness

Last updated 2026-05-07 05:36:48; freshness should be verified.

Geography

Liaoning Province, China.