Digital Transformation Impact on Chinese Enterprise Productivity, 5 Technology Directions

A study of A-share listed Chinese companies analyzes the differentiated impact of five digital technology directions on enterprise Total Factor Productivity. The dataset, created by Peng Song and last updated in April 2026, likely contains empirical results from semantic analysis of corporate annual reports. It is a 5.5 KB Excel file shared under a CC-BY-4.0 license.

Use Cases

• Analyzing the heterogeneous impact of AI, Big Data, Cloud Computing, Blockchain, and Digital Technology Application on firm productivity.
• Testing the mediating role of dynamic capability reconstruction (coordination, change, learning) in the digital transformation-TFP relationship.
• Conducting heterogeneity analysis on the effects across labor-intensive, technology-intensive, and manufacturing industries.

Strengths

• Dataset is based on semantic analysis of annual reports from A-share listed companies, a defined source.
• Explicitly tests five distinct digital technology directions: AI, Big Data, Cloud Computing, Blockchain, and Digital Technology Application.
• File is small (5.5 KB), facilitating quick inspection and download.

Limitations

• Row count and column-level documentation are unknown; field semantics must be inferred after download.
• The description is theoretical; actual data content and variable definitions require manual inspection.

Provenance

Source

Peng Song via figshare.

Collection Method

Constructed using LDA topic model semantic analysis on annual reports of A-share listed companies.

Time Range

The study period is not specified in the provided input.

Freshness

Last updated 2026-04-28 17:48:37; freshness should be verified.

Geography

Focus is on A-share listed companies, which are based in China.