Replication package for: Digital Transformation and Supply-Chain Resilience — A Posture–Be

A balanced panel of 500 Chinese A-share manufacturing firms observed over 2015–2024, comprising 4,888 firm-year observations and 86 variables. This replication package supports the research article 'Digital Transformation and Supply-Chain Resilience: A Posture–Behavior Decoupling in Chinese Manufacturing' and includes data, a keyword dictionary, and Python code. The data is compiled from public corporate disclosures via the AKShare interface and released under a CC BY 4.0 license.

Use Cases

• Analyzing the relationship between digital transformation posture and behavior based on the 120-keyword dictionary and firm-level variables.
• Reproducing econometric models of supply-chain resilience based on the provided Python replication code and panel data structure.
• Studying the financial and operational characteristics of Chinese A-share manufacturing firms based on the 86 variables compiled from public disclosures.

Strengths

• Contains 4,888 firm-year observations from 500 firms over a 10-year period (2015–2024).
• Includes a complete data dictionary for 86 variables with types, ranges, and construction notes.
• Provides self-contained Python replication code to reproduce the paper's headline empirical finding.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Data is specific to Chinese A-share manufacturing firms, which may limit generalizability to other sectors or geographies.

Provenance

Source

Public corporate disclosures from CNINFO, Sina Finance, and Xueqiu, compiled via the open-source AKShare interface.

Collection Method

Data compilation from fully public, non-proprietary sources.

Time Range

2015–2024

Freshness

Last updated 2026-04-28 12:53:36.

Geography

China