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作 者:成泷 蔡俊亚[2] 杨毅[2] 贾卫峰 Cheng Long;Cai Junya;Yang Yi;Jia Weifeng(School of Economics and Management,Xi'an University of Posts and Telecommunications,Xi'an 710061,China;School of Economics and Management,Xi'an University of Technology,Xi'an 710054,China)
机构地区:[1]西安邮电大学经济与管理学院,陕西西安710061 [2]西安理工大学经济与管理学院,陕西西安710054
出 处:《科技进步与对策》2020年第10期29-36,共8页Science & Technology Progress and Policy
基 金:教育部人文社会科学研究青年基金项目(20YJC630010);陕西省软科学研究计划一般项目(2019KRM142,2019KRM005,2018KRM040);陕西省教育厅自然科学专项科研计划项目(18JK0546)。
摘 要:作为合作创新的重要形式,产学研合作创新为资源整合、产业优化与经济发展作出了重要贡献。基于国家重点产业专利信息服务平台,以我国电子元器件产业产学研合作发明专利为数据来源,采用Logistic回归模型实证检验依赖性与嵌入性对产学研合作创新持续性的影响。结果表明:在依赖性的3个要素中,地理邻近性对产学研合作创新持续性不具有显著影响,知识相似性和身份相似性均对产学研合作创新持续性具有显著正向影响;在嵌入性的3个要素中,结构嵌入性对产学研合作创新持续性不具有显著影响,关系嵌入性和位置嵌入性均对产学研合作创新持续性具有显著正向影响。但是,当所有因素同时进入回归模型时,只有知识相似性和关系嵌入性对产学研合作创新持续性具有显著正向影响,身份相似性和位置嵌入性的影响不再显著。As an important form of cooperative innovation,industry-university-research cooperation has made important contributions to resource integration,industrial optimization and economic development.Based on the national key industry patent information service platform and taking the industry-university-research cooperation invention patents of China's electronic components industry as the data source,the Logistic regression model was used to empirically test the influence of interdependence and embeddedness on the persistence of industry-university-research collaborative innovation.The results show that:among the three factors of interdependence,geographical proximity has no significant impact on the persistence of industry-university-research collaborative innovation,and knowledge similarity and identity similarity have significant positive impact on the persistence of industry-university-research collaborative innovation.Among the three elements of embeddedness,structural embeddedness has no significant influence on the persistence of industry-university-research collaborative innovation,and both relational embeddedness and positional embeddedness have significant positive influence on thepersistence of industry-university-research collaborative innovation.However,when all the factors enter the regression model at the same time,only knowledge similarity and relationship embeddedness have significant positive effects on the persistence of industry-university-research collaborative innovation,while identity similarity and position embeddedness no longer have significant effects.
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