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产学研合作对共性技术创新的影响效用研究
引用本文:樊霞,黄妍,朱桂龙. 产学研合作对共性技术创新的影响效用研究[J]. 科研管理, 2018, 39(1): 34-44
作者姓名:樊霞  黄妍  朱桂龙
作者单位:华南理工大学工商管理学院,广东 广州510641
基金项目:基金项目:教育部哲学社会科学研究重大课题攻关项目(12JZD042) (2013.01-2017.12);国家自然科学基金项目(71473086) (2015.01-2018.12);国家自然科学基金重点项目(71233003) (2013.01-2017.12);广东省自然科学基金项目(S2013010011823) (2013.09-2015.12)。
摘    要:以生物技术领域为例,在运用平均技术共现率(MTCR)和平均技术共类指数(MTCI)对生物技术领域专利技术进行共性特征的分析基础上,引入倾向得分匹配方法,对相同基本特征下的产学研合作专利、企业-企业合作专利、企业单独申请专利的技术共性特征进行了比较研究,实证检验了产学研合作对生物技术领域产业共性技术创新的影响效用。结果表明,产学研合作对生物技术领域共性技术研发创新有显著的正向影响,同时不同技术领域以及不同国别的产学研合作创新效应存在显著差异。在发挥产学研合作积极作用的同时,应考虑不同技术领域特点和区域政策的情景差异,从而实现产业共性技术突破,提升产业竞争力。

关 键 词:产学研合作  共性技术  生物技术  倾向得分估计  
收稿时间:2015-04-27
修稿时间:2017-01-20

The innovation effects of university-industry collaboration on industrial generic technology
Fan Xia,Huang Yan,Zhu Guilong. The innovation effects of university-industry collaboration on industrial generic technology[J]. Science Research Management, 2018, 39(1): 34-44
Authors:Fan Xia  Huang Yan  Zhu Guilong
Affiliation:School of Business Administration, South China University of Technology, Guangzhou 510641, Guangdong,China
Abstract:Abstract: In the field of biotechnology, we measured the generic features of biotechnology patents by using the index of Mean Technology Co-classification Ratio and Mean Technology Co-classification Index. After the comparative study for technical generic features of university-industry collaboration patents, industry-industry collaboration patents and industry application patents by the method of Propensity Score Matching, the effect of University-Industry Collaboration (UIC) on industrial generic technology innovation was tested. The results show that University-Industry Collaboration (UIC) has a significant positive impact on the generic technology innovation in the field of biotechnology, and there are significant differences in the innovation effect of UIC between different technology fields and different countries. The characteristics of different technical areas and regional policy differences should be taken into account during the process of UIC, so that we can achieve breakthroughs of generic technology to enhance industrial competitiveness.
Keywords: industry-university-research collaboration (IURC)  generic technology  biotechnology  propensity score matching
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