Optimal Combined Paths for Chinese Charitable Foundation Fundraising

54 Chinese charitable foundations were analyzed using the fsQCA method to explore factors influencing fundraising effectiveness. The dataset, authored by Zhe Zhu and last updated in June 2026, identifies two core configuration paths leading to high fundraising benefits. It is a small dataset, 5.5 KB in size, shared under a CC-BY-4.0 license on figshare.

Use Cases

• Analyzing configuration effects of digital transparency, program activity, and political connections on fundraising outcomes.
• Identifying causal pathways for high fundraising benefits in charitable organizations.
• Applying fuzzy-set Qualitative Comparative Analysis (fsQCA) to organizational performance data.
• Benchmarking foundation performance based on professional management and program intensity.

Strengths

• Analysis is based on a specific sample of 54 Chinese charitable foundations.
• The study employs the fsQCA method to identify configuration effects, not just individual factors.
• Dataset is openly shared under a permissive CC-BY-4.0 license.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset's 5.5 KB size suggests a very limited scope, likely containing only summary or analysis results.

Provenance

Source

figshare

Collection Method

Employed fsQCA method on data from 54 Chinese charitable foundations.

Freshness

Last updated 2026-06-03 17:47:47; freshness should be verified.

Geography

China