Panel Data on Knowledge Networks and Disclosure in China's Pharmaceutical Industry

212 listed enterprises in China's pharmaceutical manufacturing industry form the panel data for this study. The dataset, authored by Fei Wang and last updated in May 2026, is used to test the influence of knowledge network embeddedness on strategic knowledge disclosure. It is shared under a CC-BY-4.0 license.

Use Cases

• Modeling the relationship between network structural embeddedness and knowledge disclosure based on the described regression framework.
• Investigating the inverted U-shaped effect of relational embeddedness on strategic knowledge disclosure.
• Analyzing the moderating role of knowledge breadth and depth on network-disclosure relationships.
• Studying the mediating role of knowledge recombination ability between network embeddedness and disclosure.

Strengths

• Panel data covers 212 listed enterprises, providing a specific sample size.
• Focus on a specific industry (pharmaceutical manufacturing) and geography (China).
• Dataset is small (165.5 KB), facilitating quick download and inspection.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic and industry bias inherent to the sample from China's pharmaceutical sector.

Provenance

Source

Fei Wang via figshare.

Collection Method

Likely compiled from public disclosures and corporate data of listed Chinese pharmaceutical enterprises.

Freshness

Last updated 2026-05-28 05:35:07; freshness should be verified.

Geography

China