usa.chinadaily.com.cn
China Seeks to Boost Low University Patent Commercialization Rate
China's 4 million patents in 2023 contrast with a low university patent commercialization rate (3.9 percent); government initiatives focus on quality improvement, industry-academia partnerships, and optimized internal processes to boost economic returns from innovation.
- What specific measures are being implemented to enhance the quality of university patents and facilitate their commercialization in China?
- Low university patent conversion contrasts sharply with high average industrialization revenue (over $1.4 million per patent in 2023 for university-enterprise collaborations). This discrepancy highlights the need for improved market connection and quality management to maximize economic returns from innovation. Government strategies focus on refining research models, enhancing industry alliances, and optimizing internal university processes.
- How can China's low university patent commercialization rate, despite a high number of patents, be significantly improved to accelerate economic growth?
- China's 2023 patent count exceeded 4 million, yet university patent commercialization lags at 3.9 percent, far below leading nations. Government initiatives aim to boost this rate by improving patent quality and fostering industry-academia partnerships. This is crucial for translating research into economic growth.
- What are the long-term systemic implications of improving university patent commercialization for China's technological innovation and economic competitiveness?
- Future success hinges on addressing systemic challenges. Improving patent quality at the source, expanding market access through industry-academia collaborations and innovation consortia, and optimizing university-internal patent management are all vital. China's adoption of best practices, coupled with domestic innovations, will determine the pace of future progress.
Cognitive Concepts
Framing Bias
The article presents a balanced view of the situation, highlighting both the challenges (low conversion rate, lack of market relevance of some patents) and the progress made (increasing industrialization revenue, government initiatives). While the focus is on the challenges and solutions within China, this framing is justified given the article's aim to analyze the specific situation in China.
Language Bias
The language used is largely neutral and objective. The article uses data and statistics to support its claims, avoiding loaded language or subjective opinions. Terms like "significantly lower" and "far behind" are used to describe the patent conversion rate but are presented as factual observations rather than emotional judgements.
Bias by Omission
The article focuses heavily on the challenges and solutions related to university patent commercialization in China. While it mentions other leading countries like the US and Germany, it does not delve into the specific strategies they employ for successful patent commercialization, which could provide a more comprehensive comparison and richer context. The lack of detail regarding global best practices beyond mentioning Stanford University's technology transfer office represents an omission.
Sustainable Development Goals
The article highlights China's efforts to improve its technological innovation capabilities, particularly in the commercialization of university patents. This directly contributes to SDG 9 (Industry, Innovation, and Infrastructure) by fostering innovation, promoting industrial growth, and building a more robust infrastructure for technology transfer and commercialization. The initiatives described, such as the work plan for activating existing patents and the development of successful models for patent commercialization, all aim to improve the efficiency and impact of technological advancements on economic development.