产学研不同协同创新类型专利质量差异测度及影响分析——以中国稀土产业专利为例
Measurement and Influence Analysis on Patent Quality Difference among Different Types of Collaborative Innovation:Taking China's Rare Earth Patents as an Example
黄顺春 1刘桥 1王兆伟1
作者信息
- 1. 江西理工大学经济管理学院,江西赣州,341000
- 折叠
摘要
产学研协同在国家创新体系中具有重要地位,关注产学、产研、学研及产学研4类不同协同创新类型所创造的专利质量是否有差异,有助于深化产学研协同创新相关研究.以我国稀土产业创新为例,在分析目前专利质量评价文献的基础上,兼顾采用专利质量评价信息中的连续型数据和离散型数据,构建了产学研不同协同创新类型的专利质量评价模型,测度了产研、产学、学研及产学研4类不同协同创新类型所创造的专利质量差异.研究表明:我国稀土产业产学研不同协同创新类型创造的专利质量有显著差异,产研协同专利的总体质量明显高于其他组合,产学次之,学研更次,产学研最低.在此基础上从理论与实际的视角进一步分析了造成差异的可能原因.
Abstract
Industry-university-research collaboration plays an important role in the national innovation system.The attention on whether there are differences in the quality of patents created by the four types of industry-university-re-search collaborative innovation is helpful to deepen the research on industry-university-research collaborative innovation.Taking rare earth industry innovation in China as an example,on the basis of reviewing the current patent quality evalua-tion literature,taking into account the use of continuous data and discrete data in patent quality evaluation information,this paper constructs a patent quality evaluation model of different collaborative innovation types of industry,university and research,and measures the differences of patent quality created by four types of collaborative innovation.The re-search shows that there are significant differences in the quality of patents created by different collaborative innovation types in China's rare earth industry,and the overall quality of industry-research collaborative patents is obviously higher than other combinations,followed by industry-university,university-research,and the lowest industry-university-re-search.Then the paper analyzes the possible causes of the difference from the theoretical and practical perspectives.
关键词
专利质量/稀土产业专利/产学研协同/协同创新Key words
patent quality/rare earth industry patents/industry-university-research collaboration/collaborative inno-vation引用本文复制引用
出版年
2024
NETL
NSTL
万方数据