Survey on Digital Technology Adoption by New Agricultural Operators

Questionnaire data and analysis code for a study on factors influencing new agricultural operators' adoption of digital technologies. The dataset includes variables on digital technology cognition, climate risk perception, and multidimensional barriers. It was created by researcher Zihan Wu and uploaded to Figshare in April 2026.

Use Cases

• Analyze the correlation between Climate Risk Perception scores and reported adoption intention for digital tools.
• Model the moderating effect of Multidimensional Barriers (e.g., financial, technical) on the relationship between Digital Technology Cognition and adoption behavior.
• Use the provided Stata DO files to replicate the study's statistical analysis on the survey responses.
• Investigate demographic or operational factors (implied by survey questions) that predict higher Digital Technology Cognition among new operators.

Strengths

• Dataset is openly licensed under CC0-1.0, allowing unrestricted use.
• Includes original Stata analysis code (DO files) for full methodological transparency.
• Focuses on a specific and contemporary research topic: new agricultural operators.

Limitations

• The dataset is very small at 213.9 KB, indicating a limited sample size, likely under 1000 survey respondents.
• No column names or sample data are provided, making initial assessment of variables and structure difficult.
• Geographic scope of the survey respondents is unknown, limiting generalizability of findings.

Provenance

Source

Figshare, uploaded by author Zihan Wu.

Collection Method

Collected via questionnaire survey, as stated in the description.

Freshness

Data was last updated in April 2026, indicating it is current or forward-dated for release.