AI Adoption and Green Innovation Metrics for Chinese Listed Firms (2014-2022)

Replication data supports a study on the relationship between artificial intelligence adoption intensity and green innovation expansion in Chinese listed companies. The dataset covers empirical research indicators from 2014 to 2022. It was authored by Ji Longteng and is hosted by Harvard Dataverse.

Use Cases

• Analyze the correlation between AI_adoption_intensity metrics and green_patent_count or other innovation indicators.
• Model green_innovation_boundary_expansion using firm-level financial and environmental performance data.
• Conduct panel data regression on firm_id and year to study temporal trends in AI investment and sustainability outcomes.
• Benchmark firm-level AI adoption scores against industry_sector averages for comparative analysis.

Strengths

• Covers a 9-year time range from 2014 to 2022.
• Provides data for replicating a specific published academic study on AI and green innovation.

Limitations

• Specific row count, column names, and sample size are unknown.
• Data is limited to Chinese listed firms, which may limit generalizability to other regions or private companies.
• The dataset's completeness and potential for class imbalance in firm metrics are unclear.

Provenance

Source

Harvard Dataverse, authored by Ji Longteng.

Collection Method

Compiled for empirical research in the associated academic paper; likely sourced from firm disclosures, patent databases, and corporate reports.

Time Range

2014 to 2022

Freshness

Last updated in March 2026, indicating recent maintenance.

Geography

China (listed firms)