Survey Data on Digital Discretion and Public Value Trade-offs in China

Survey-experimental data from three studies investigating perceptions of public value trade-offs in digital discretionary decision-making. The project, authored by Hao Hao, compares human, fully digital, and augmented discretion in policing and social welfare contexts in mainland China. The dataset was last updated on May 23, 2026.

Use Cases

• Analyzing perceived trade-offs between procedural fairness and responsiveness based on the survey experiments.
• Comparing the effects of human versus fully digital discretion in public service delivery.
• Investigating the impact of augmented discretion, where digital tools assist human decision-makers.
• Studying sector-specific differences in digitalization perceptions between policing and social welfare.

Strengths

• Data originates from three distinct survey-experimental studies with varied designs (mixed, randomized order, between-subjects).
• Focuses on two specific policy domains, policing and social welfare, allowing for comparative analysis.
• Dataset is openly licensed under CC-BY-4.0.

Limitations

• The dataset is small at 324.6 KB, indicating a limited scope of raw data.
• Row count and column-level documentation are unknown, requiring manual inspection after download.
• Data may reflect geographic bias inherent to its collection in mainland China.

Provenance

Source

Hao Hao via figshare.

Collection Method

Data was gathered through three survey-experimental studies conducted in mainland China.

Freshness

Last updated 2026-05-23 08:24:00

Geography

Mainland China