Digital Publishing Policy and Regional Performance Data for 16 Chinese Provinces

16 major Chinese provinces provide the data for this fuzzy-set qualitative comparative analysis (fsQCA) of the digital publishing industry. The dataset, authored by Sirui Li and last updated in April 2026, examines causal relationships between policy instruments, regional conditions, and industrial performance. It is stored in an XLS file and is 9.5 KB in size.

Use Cases

• Conducting fuzzy-set qualitative comparative analysis (fsQCA) based on policy and regional data.
• Identifying causal pathways for industrial performance based on configurations of policy instruments and regional conditions.
• Analyzing the relative role of fiscal versus content-based policy instruments based on the described findings.
• Comparing high-performance and non-high-performance industrial models based on the causal asymmetry principle mentioned.

Strengths

• Data is derived from policy texts and development data for 16 major Chinese provinces.
• Analysis reveals three distinct realization logics for industry performance.
• Dataset is openly licensed under CC-BY-4.0.

Limitations

• Row count and column definitions are unknown, limiting suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.
• The 9.5 KB file size indicates a very limited scope of data.

Provenance

Source

Sirui Li via figshare

Collection Method

Likely compiled from policy texts and development data for analysis.

Time Range

null

Freshness

Last updated 2026-04-13 17:29:34; freshness should be verified.

Geography

16 major Chinese provinces