Farmers' Risk Attitudes and Borrowing Behavior in Southwestern China, 447 Operators

447 agricultural operators in Sichuan, Chongqing, and Guizhou provinces participated in an experimental and survey study. The data includes objectively quantified risk attitudes measured via the 'Bomb Risk Elicitation Task' and was analyzed using a 3D-tensor-based neural network for cross-validation. Authored by Siqi Shen and last updated in April 2026, this dataset links risk tolerance to borrowing intentions, loan amounts, and agricultural investment choices.

Use Cases

• Modeling the relationship between risk tolerance and borrowing intentions based on experimental risk elicitation.
• Analyzing demographic heterogeneity in credit decision-making among younger versus older farmers and smaller versus larger households.
• Investigating preferences for formal versus informal credit channels based on measured risk attitudes.
• Studying the impact of risk-driven borrowing on productive agricultural investments and post-loan income levels.

Strengths

• Risk attitudes are objectively quantified using the experimental 'Bomb Risk Elicitation Task'.
• Data from 447 agricultural operators provides a sample for analysis.
• Methodology includes a 3D-tensor-based neural network for cross-validation and joint estimation models to address sample selection bias.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Geographic scope is limited to three provinces in southwestern China.

Provenance

Source

figshare, authored by Siqi Shen.

Collection Method

Experimental and survey data collection.

Freshness

Last updated 2026-04-22 05:48:37; freshness should be verified.

Geography

Southwestern China (Sichuan, Chongqing, and Guizhou provinces).