The China Industrial Enterprise Database (1998-2014) comprehensively documents the micro-level operational landscape of industrial enterprises above designated size. It encompasses fundamental enterprise attributes (Organization Code, name, industry code, address, etc.), core production indicators (gross industrial output value, export delivery value, number of employees, etc.), and complete financial information (balance sheets, income statements, and value-added tax data), providing foundational data directly amenable to empirical analysis.
Key Features:
- Comprehensive Enterprise Profiling: Simultaneously incorporates 27 categories of fundamental attributes (region, industry, registration type, scale) and 46 financial/production indicators, enabling the construction of complex research variables. For example:
- Quantifies enterprise ownership structure precisely through paid-in capital components (state capital, foreign capital, etc.);
- Analyzes enterprise diversification strategies using Main Business Activity fields 1-3;
- Investigates enterprise market layout by integrating Gross Industrial Output Value, Sales Output Value, and Export Delivery Value.
- Longitudinal Micro-Enterprise Tracking: This dataset is among the few market resources providing continuous, unaggregated operational data at the micro-enterprise level in China spanning over a decade (1998-2014). It allows researchers to track individual enterprise dynamics (e.g., entry, exit, growth, performance evolution).
Potential Applications:
- Academic Research: Serves as an indispensable foundational data source for studying China's economy, particularly core topics like industrial sector development, firm behavior, industrial policy effectiveness, and regional economic disparities.
- Business Services: Provides consultancies, financial institutions, and large enterprises with macro-to-micro insights into China's industrial structure, industry competition, regional investment environments, upstream/downstream industrial chains, and the historical performance of potential targets/competitors.
- Policy Optimization: Offers an empirical micro-evidence base for government research institutes and think tanks to evaluate industrial policies, regional development policies, ownership reforms, tax policies, etc.
Distinguished by its comprehensive chain-field coverage (from registration to production/finance), micro-entity traceability (Organization Code + spatio-temporal fields), and academic-grade data structure (core balance sheet/income statement accounts), this database constitutes a fundamental resource for researching China's industrial transformation. The organic integration of nearly a hundred fields supports multi-scale research on firm behavior, industrial chain efficiency, and regional economies, providing an irreplaceable empirical foundation for academic innovation and business insight.
Time Coverage
1998-2014
Data Scale
Annual sample size ranges between 160,000 and 410,000 enterprises.
Field Display
Sample Data
References
- YANG Jidong, GAO Qiunan, LIU Shouying: "Digital Economy, Digital Product Space and Real-Digital Integration: Based on the Coupling Coordination of Technological Relatedness and Comparative Advantage," China Industrial Economics, No. 3, 2025.
- CHEN Xiaohong, ZHANG Jinghui, WANG Yangjie, et al.: "Digital Empowerment, Technological Innovation and Air Pollution Control: Evidence from Patent Text Mining," Economic Research Journal, No. 12, 2024.
- JIA Junxue, LUO Liheng, GU Jia, et al.: "Local Government Environmental Regulation and High-Quality Economic Development," China Industrial Economics, No. 5, 2023.
- KOU Zonglai, LIU Xueyue: "Patent Activities of Chinese Enterprises: Stylized Facts and the Impact of Innovation Policies," Economic Research Journal, No. 3, 2020.
- NIE Huihua, JIANG Ting, YANG Rudai: "The Current Usage and Potential Problems of the China Industrial Enterprise Database," The Journal of World Economy, No. 5, 2012.
- Josh Lerner, Amit Seru: "The Use and Misuse of Patent Data: Issues for Finance and Beyond," The Review of Financial Studies, Vol. 34, No. 6, 2021.
Update Frequency
Not updated.