This database system integrates full-cycle trademark registration data of Chinese A-share listed companies and their affiliated entities from 2000 to 2023, covering 5,123 unique corporate entities (including listed companies' parent firms, subsidiaries, and affiliated enterprises) with 1.26 million matched trademark records from the China National Intellectual Property Administration. The dataset encompasses 48 dimensions, including basic trademark attributes (application/registration number, international classification code, form, validity period), applicant information (administrative region, country, corporate relationships), legal process nodes (preliminary approval/registration announcements, priority rights), and strategic identification features (well-known trademark status, geographical indications). Through a three-tier mapping system of "listed company entity - affiliated enterprise - trademark applicant," it provides structured data support for researching corporate brand strategies and intellectual property valuation.

Data Features:

• Fine Granularity of Fields: Legal processes—cover key timelines from trademark application to rights termination (priority date, opposition deadlines); Strategic attributes—annotate special mark types like well-known trademarks, geographical indications, and 3D trademarks; Spatial dimensions—refine applicant addresses to district/county-level administrative codes, aligning with economic statistical research needs.
• Dynamic Trademark Lifecycle Tracking: Synchronize trademark application processes (application → preliminary review → registration → renewal → invalidation) and identify trademark ownership transfer paths.
• [Listed Company - Trademark Applicant] Matching: Combine securities code-linked corporate directories, subsidiary information disclosed in annual reports, and fuzzy matching of applicant names to support multi-level applicant identification (parent companies, holding subsidiaries, affiliated enterprises). The trademark database constructs a [Relationship with Listed Company] field, explicitly distinguishing application types such as parent company applications, holding subsidiary applications, and joint venture applications.

Potential Applications:

• Academic Research: Empirical analysis in economic geography (regional innovation capabilities) and intellectual property protection (approval rates and policy correlations); Develop intangible asset valuation models based on trademark renewal rates and cross-category registration counts.
• Commercial Services: Track listed companies' diversification strategies and regional expansion through trademark application dynamics.
• Typical Research Dimensions: Analyze synergy between affiliated companies' trademark layouts and parent companies' brand strategies; Study correlations between geographical indication holdings and regional specialty industry competitiveness.

   CnOpenData establishes cross-disciplinary research infrastructure connecting capital markets and intellectual property by matching 5,123 listed company-affiliated entities with 1.26 million trademark records. The dataset comprehensively covers trademark lifecycle attributes and multi-dimensional corporate relationships, supporting complex scenarios in academic research and commercial analysis, thereby facilitating corporate brand value mining and intellectual property strategy studies.

Time Coverage

2000-2023

Data Scale

Field Display

Sample Data

Relevant Literature

• Xiao Yangao, Ran Huaqing, Tong Wenfeng et al., 2021: "Defense or Hoarding? The Impact of Trademark Portfolios on Corporate Performance and Implications," Management World 10.

Data Update Frequency

Annual Updates