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A Comparative Study of the Correlation of Government-Industry-University-Research-Finance Based on NLP

Author(s)

Xiangyou Wu, Huan Zhang*

Affiliation(s)

Xinhua Du Business School, Minjiang University, Fuzhou, Fujian, China *Corresponding Author

Abstract

This paper focuses on the collaborative innovation ecosystem of "Government - Industry - University - Research - Finance-Service-Application". It systematically analyzes the core positioning and correlation logic of the seven main subjects (government, industry, universities, research institutions, finance, services, and application), and explores practical paths such as the integration model centered on "industry-research", government-enterprise collaboration mechanisms, and two-way talent flow. Addressing prominent issues including insufficient efficiency of factor collaboration and imperfect interest distribution mechanisms, and combining regional practical cases, the paper proposes optimization strategies such as strengthening demand orientation, improving financial empowerment, and enhancing service support. It provides theoretical and practical references for promoting the in-depth integration of the innovation chain, industrial chain, capital chain, and talent chain, solving the disconnect between scientific research and industry, and fostering new quality productive forces.

Keywords

NLP; Cooperation Mechanism; Collaborative Innovation; Achievement Transformation; Innovation Ecosystem

References

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