The CnOpenData Chinese High-Tech Enterprise List Database comprehensively records the designation information of national high-tech enterprises from 2008 to 2024, covering key fields such as Enterprise Name, Designation Year and Batch, Enterprise Code Systems, and Historical Former Names. This dataset originates from original PDF documents published on the official High-Tech Enterprise Designation website. After professional manual compilation, verification, and matching with industrial and commercial registration information, it forms a structured database enriched with deep analytical fields including Designation Frequency, Re-review Status, and Current Qualification Status. This provides authoritative and comprehensive foundational data support for research on the development trajectory of Chinese high-tech enterprises and policy effectiveness.
Data Uniqueness:
- Integration of Official Sources and Manual Refinement: Data is sourced directly from original designation announcement documents released on the official High-Tech Enterprise Designation website, downloaded, compiled, and verified by a professional team.
- Complete Retention of Historical Batch Information: The database records not only designation years but also preserves batch information (e.g., First Batch, Second Batch), facilitating researchers' analysis of enterprise characteristics and policy preferences across different designation batches.
- Multi-dimensional Enterprise Codes and Former Name Information: By matching with industrial and commercial registration data, the database provides multiple enterprise identifiers including Unified Social Credit Code, Taxpayer Identification Number (TIN), Registration Number, and Organization Code, along with former name fields. This effectively resolves tracking challenges caused by enterprise name changes and supports long-term longitudinal studies.
Data Comprehensiveness:
- 17-Year Temporal Coverage: Spanning from 2008 (the inaugural year of China’s High-Tech Enterprise Designation Management Measures) to 2024, it fully documents the evolution of high-tech enterprise policies and the entire designation process.
- Nationwide Geographic Coverage: Includes designation data from all 31 provinces, autonomous regions, and municipalities directly under the central government, plus five separately listed cities (大连 Dalian, 青岛 Qingdao, 宁波 Ningbo, 厦门 Xiamen, 深圳 Shenzhen), ensuring comprehensive enterprise information coverage across China.
- Extensive Field Coverage: Contains original fields such as Province, Designation Year, Designation Batch, Original Enterprise Name, Taxpayer Identification Number (TIN), Unified Social Credit Code, Registration Number, Organization Code, and Former Names. Analytical fields like Designation Frequency, Re-review Pass Status, and Current Qualification Status (Valid/Cancel) are computationally derived.
Potential Applications:
- Academic Research: Supports research topics including innovation policy evaluation, enterprise innovation capability measurement, regional innovation disparity analysis, and enterprise dynamics (entry, exit, re-review behavior), applicable to fields such as industrial economics, regional economics, and innovation management.
- Policy Analysis: Evaluates implementation effectiveness and enterprise responsiveness to high-tech enterprise policies by analyzing designation frequency, re-review outcomes, and qualification status changes, providing evidence for policy optimization.
- Investment Decisions: Assists investors and enterprises in identifying high-tech enterprises with sustained innovation qualifications, supporting market entry, investment, and partnership decisions.
The CnOpenData Chinese High-Tech Enterprise List Database offers comprehensive and reliable designation information for researchers and practitioners through its long-term coverage, rich fields, and rigorous processing. Combining authority with usability, it supports multi-dimensional queries and in-depth analysis, making it an ideal data source for exploring China’s innovation policies and enterprise innovation behavior.
Time Period
2008-2024
Data Scale
Field Display
Sample Data
Related Literature
- Liu Qiren, Long Jianxiong, Zhang Zhanhui et al., 2023: "Tax Incentives, R&D Expenditures, and Export Performance: A Bunching Analysis Based on High-Tech Enterprise Designation Policy Reform," China Industrial Economics, No. 4.
- Qiu Yangdong, Tao Feng, 2021: "Effectiveness Evaluation of High-Tech Enterprise Qualification Designation Policies," Economic Perspectives, No. 2.
- Josh L., Amit S., 2021: "The Use and Misuse of Patent Data: Issues for Finance and Beyond," The Review of Financial Studies.
Data Update Frequency
Annual Updates