摘要
分析产学研合作网络的成因有助于促进产学研合作,提高创新产出的效率.文章以2018年浙江省高校、研究机构和企业的专利数据构建产学研合作网络,使用指数随机图模型对整个网络的成因进行分析.研究结果发现产学研网络是一个小世界网络.最优模型中内生性结构的加权边共享伙伴贡献率提升0.59,加权度分布贡献率提升0.94.外生协变量中地理同配性贡献率提升0.8,产学研类型中高校贡献率提升0.61,研究机构贡献率降低0.31,公司贡献率降低0.22,节点专利数量贡献率提升0.5.
Analyzing the causes of the industry-university-research cooperation network is helpful to provide references for the future development direction of industry-university-research cooperation,promote the industryuniversity-research cooperation,and improve the conversion rate of industry-university-research patents.The patent data of 2018 industry-university-research in Zhejiang Province as an example was taken to construct the industry-university-research cooperation network,and the exponential random graph model was used to study and the causes of the entire network were analyzed.The results indicated that the industry-university-research network is a small-world network,in the optimal model,the contribution rate of the weighted edge sharing partner improves 0.59,and the contribution rate of the weighted degree distribution improves 0.94.Among exogenous covariables,contribution rate of the same city improves 0.8,that of universities improve 0.61,that of research institutions declines 0.31,that of companies declines 0.22,and that of patents improves 0.5.
作者
钮亮
Niu Liang(School of Economics&Management,China Jiliang University,Hangzhou 310018,China)
出处
《湖南科技大学学报(自然科学版)》
CAS
北大核心
2020年第4期74-82,共9页
Journal of Hunan University of Science And Technology:Natural Science Edition
基金
国家社科基金资助项目(18BJL102)。
关键词
产学研合作
高校专利
指数随机图模型
小世界网络
industry-university-research cooperation
university patent
exponential random graph model
small-world networks