CnOpenData systematically extracts recruitment information featuring accounting firms as primary entities from major online recruitment platforms (sources B/C/E), constructing a comprehensive Online Recruitment Database for Accounting Firms. This dataset integrates employer details, position descriptions, qualification requirements, and compensation packages, transforming scattered online recruitment data into standardized structured records. Core fields encompass company name, location, position title, number of hires (招聘人数), compensation (待遇), language requirements (语言要求), work experience (工作年限), education level (学历), and posting date—providing an irreplaceable micro-level foundation for analyzing talent demand structures in accounting firms, regional talent mobility trends, and dynamics of the industry's human resources market. This constitutes a key resource for research in labor economics, human resource management, education policy, and industry development.
Data Features:
- Multidimensional Recruitment Demand Profile: Beyond basic company and position information, the database incorporates granular fields including "Compensation" (待遇), "Language Requirements" (语言要求), "Work Experience" (工作年限), "Education Level" (学历), and "Specialization Requirements" (专业要求). These serve as crucial metrics for analyzing industry entry barriers, compensation patterns, skill preferences, and talent structure evolution, enabling comprehensive characterization of HR demand attributes in accounting firms.
- Support for Spatiotemporal Dynamic Analysis: With nationwide coverage of major cities and a substantial temporal span (2014–present), the dataset empowers researchers to conduct cross-regional talent demand comparisons, long-term demand trend analyses, and assessments of how specific economic policies or industry events influence the recruitment behaviors of accounting firms.
- Industry-Specific Entity Focus: Data is rigorously filtered to include only accounting firms and their branches as recruiting entities, ensuring sample purity and effectively addressing the challenge of extracting industry-specific data from comprehensive platforms. This provides a reliable foundation for precision research at the industry level.
Application Value:
- Academic Research: Supports studies across labor economics (labor market segmentation, skill premiums), human resource management (recruitment strategies, competency modeling), education policy (alignment of academic programs with market demand), and industrial organization (expansion and competition among accounting firms), delivering empirical micro-evidence for relevant theories.
- Industry Insights & Career Planning: Assists university students, job seekers, and career development institutions in understanding real-time talent demand, salary ranges, and competency requirements within accounting firms, offering data-driven decision support for personal career planning, degree selection, and skill enhancement.
- Commercial & Policy Decision-Making: Provides market references for accounting firms to formulate or adjust recruitment strategies and regional HR deployment; simultaneously offers data support for education authorities and industry associations to evaluate talent cultivation quality and forecast talent supply-demand gaps.
Through its accurate focus on accounting firm recruiters and multidimensional extraction of recruitment requirements, this dataset establishes a critical nexus connecting micro-level corporate demand with macro-level HR market dynamics. It serves as essential infrastructure for observing industry development trends, analyzing professional talent mobility patterns, and evaluating the efficacy of higher education programs, providing robust data support for academic research, individual development, and industry decision-making.
Database Application Guide
Application Guide for CnOpenData Online Recruitment Data for Accounting Firms: https://mp.weixin.qq.com/s/ma6JiRenDlNejDPsKeYr4A
Literature Citing this Dataset
Data Scale
Time Coverage
May 2014–2025
Field Documentation
Sample Data
会计师事务所线上招聘数据-B来源
会计师事务所线上招聘数据-C来源
会计师事务所线上招聘数据-E来源
References
- Gao Jingyu, Wei Rui. 2024: Digital Transformation of Accounting Firms and Audit Quality: Empirical Evidence from Digital Talent Recruitment, Journal of Audit Studies, Vol. 3.
Update Frequency
Annual update