关于高校专利价值评估研究综述分析

A Review and Analysis of Research on Patent Valuation in Higher Education Institutions

摘要: 系统评估高校专利价值是促进科技成果转化与优化创新资源配置的重要基础。现有研究围绕专利价值的概念内涵、多维指标与评估方法已取得系列成果，表明高校专利具有价值多元性、技术前沿性和权属复杂性等特征，需从技术、法律、市场与主体等多个维度构建综合评价体系。在方法层面，研究已从传统估值模型演进至机器学习与智能算法驱动的新范式，显著提升了评估效率与预测准确性。然而，当前研究仍面临数据壁垒突出、模型泛化能力有限、动态与前瞻性评估不足等挑战。未来应进一步聚焦多源数据融合、可解释模型构建和实时评估系统开发，以增强评估结果的科学性及对高校专利运营与转化实践的支撑作用。

Abstract: Systematically evaluating the value of university patents is a crucial foundation for promoting the transformation of scientific and technological achievements and optimizing the allocation of innovation resources. Existing research has yielded a series of findings concerning the conceptual connotations, multidimensional indicators, and evaluation methods of patent value. These studies indicate that university patents exhibit characteristics such as value diversity, technological frontier nature, and complex ownership structures, necessitating the construction of a comprehensive evaluation system that integrates multiple dimensions including technology, law, market, and stakeholders. Methodologically, research has evolved from traditional valuation models to new paradigms driven by machine learning and intelligent algorithms, significantly enhancing evaluation efficiency and predictive accuracy. However, current studies still face challenges such as prominent data barriers, limited model generalization capabilities, and insufficient dynamic and forward-looking assessments. Future efforts should focus on integrating multi-source data, developing explainable models, and creating real-time evaluation systems to enhance the scientific rigor of assessment outcomes and strengthen support for university patent operation and commercialization practices.