Chinese Listed Firms Panel Data With Gender and AI Metrics

A panel dataset of Chinese A-share listed firms from 2007 to 2024, sourced from CSMAR and CNRDS. It includes firm financials, governance structures, supply chain efficiency, female Top Management Team representation, and AI adoption metrics. The dataset was published by author Rui Du in March 2026.

Use Cases

• Analyze the correlation between female TMT representation and firm-level supply chain efficiency metrics.
• Model the impact of AI adoption on financial performance using firm financials and AI adoption columns.
• Test evolutionary game theory predictions by linking simulation parameters like ethical orientation to empirical firm governance data.
• Investigate the relationship between firm governance structures and technology adoption rates over the 2007-2024 period.

Strengths

• Panel data spans 18 years from 2007 to 2024, enabling longitudinal analysis.
• Sourced from authoritative Chinese financial databases CSMAR and CNRDS.
• Includes both empirical firm data and simulation results from an evolutionary game model.

Limitations

• The dataset is small at 9.4 MB, suggesting a limited number of firms or variables.
• Limited to Chinese A-share listed firms, reducing generalizability to other markets.
• Specific row counts and column names are unknown, complicating initial assessment.

Provenance

Source

CSMAR and CNRDS databases.

Collection Method

Collected for academic research on gender composition and AI-driven technology.

Time Range

2007 to 2024.

Freshness

Data covers up to 2024 and was last updated in March 2026.

Geography

China (A-share listed firms).