High-tech Enterprise Recognition Scoring Details and High-Score Application Strategy

High-tech Enterprise recognition uses a 100-point scoring system, with a passing threshold of 70 points. Deep understanding of scoring details and targeted material preparation are key to improving pass rates.

1. Intellectual Property (30 Points)

Scoring dimensions include technological advancement (8 points), core supporting role for main products (8 points), IP quantity (8 points), and acquisition method (6 points). Category I IP (invention patents, new plant varieties, integrated circuit layout designs) scores far higher than Category II (utility models, software copyrights). Having at least 1 Category I IP or 5+ Category II IP is recommended.

2. Technology Achievement Transformation (30 Points)

Assesses the annual average of technology achievement transformations in the past 3 years. An annual average of 5+ earns full marks (30 points), 4 earns 25, 3 earns 19. Transformation forms include products, services, processes, samples, and prototypes. Each transformation requires supporting evidence such as contracts, invoices, and test reports. Achievement sources may include proprietary IP, technology introduction, and industry-academia-research collaboration.

3. R&D Organization and Management (20 Points)

Assesses R&D management systems, R&D investment accounting systems, industry-academia-research collaboration, R&D institutions and equipment, personnel training systems, and innovation/entrepreneurship platforms. Enterprises must establish sound R&D management systems, set up R&D departments, equip R&D facilities, and collaborate with universities and research institutes. Both policy documents and actual execution records are essential.

4. Enterprise Growth (20 Points)

Comprises net asset growth rate (10 points) and sales revenue growth rate (10 points). Growth rate = 1/2 × (Year 2 ÷ Year 1 + Year 3 ÷ Year 2) - 1. Enterprises operating less than 3 years are calculated based on actual operating years. Growth indicators are objectively computed from financial data; enterprises can improve scores through reasonable financial planning.