• 中国科学学与科技政策研究会
  • 中国科学院科技政策与管理科学研究所
  • 清华大学科学技术与社会研究中心
ISSN 1003-2053 CN 11-1805/G3

科学学研究 ›› 2020, Vol. 38 ›› Issue (5): 834-842.

• 科技发展战略与政策 • 上一篇    下一篇

多维邻近性对集成电路产业专利技术交易的影响

刘晓燕1,李金鹏1,单晓红1,杨娟2   

  1. 1. 北京工业大学经济与管理学院
    2. 北京工业大学经管学院
  • 收稿日期:2019-06-03 修回日期:2019-11-28 出版日期:2020-05-15 发布日期:2020-05-27
  • 通讯作者: 李金鹏
  • 基金资助:
    “新兴科技环境下提升我国创新政策供给能力研究”

The Influence of Multidimensional Proximity on Patent Technology Transaction in Integrated Circuit Industry

  • Received:2019-06-03 Revised:2019-11-28 Online:2020-05-15 Published:2020-05-27

摘要: 摘要 技术交易是创新成果转化的主要形式,研究多维邻近性对技术交易的影响可以发现目前技术交易关系形成的内在驱动力,为制定成果转化政策提供理论依据。文章以中国集成电路专利转让数据为基础,采用指数随机图模型(ERGM),分析交易主体的多维邻近性、内生结构依赖对技术交易关系形成的影响。结果表明:地理邻近性对技术交易无明显作用;技术和制度邻近性在最近三年才开始对技术交易产生影响;组织邻近性作用所占比重逐渐增加;社会邻近性一直发挥着较为稳定的促进作用。同时,对网络内生结构依赖研究发现:企业倾向与交易活跃的主体建立交易关系;具有直接交易关系的企业也很可能会通过间接联系完成二次交易,而只具有间接联系的企业则很难主动建立直接交易关系。该结论验证了技术交易的影响因素,有助于引导产业创新,提高科技成果转化率。

Abstract: Abstract Technology transaction is the main form of the transformation of innovation achievements. Studying the impact of multidimensional proximity on technology transaction can reveal the internal driving force of the current technology transaction relationship, and provide a theoretical basis for fomulating achievement transformation policy. Based on the Chinese integrated circuit patent transfer data, this paper uses the exponential random graph model (ERGM) to analyze the influence of multidimensional proximity and endogenous structural dependence of transaction entities on the formation of technical transaction relationships.The results show that geographical proximity has no obvious effect on technology transactions; technology and institutional proximity have only begun to affect technology transactions in the last three years; the proportion of organizational proximity has gradually increased; Social proximity has been playing a more stable role in promoting technology transactions. At the same time, research on the endogenous structure dependence of the network finds that enterprises tend to establish links with entities which have active transaction behavior; enterprises with direct transaction relationships will complete secondary transactions through indirect contacts, while enterprises with indirect links will not establish a direct transaction relationship actively .This conclusion verifies the influencing factors of technology transaction, which is helpful to guide industrial innovation and improve the the rate of technology transfer.