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International knowledge spillover through co-inventors: An empirical study using Chinese assignees' patent data

机译:通过共同发明人进行的国际知识溢出:使用中国受让人专利数据的实证研究

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摘要

Knowledge spillover is a widespread phenomenon among main economic entities of the world. Most of prior studies adopt patent citation data to indicate the traces of knowledge flows. However, patent citation is a noisy indicator in reflecting technology diffusion and has limitation in identifying knowledge flows induced by personal contacts. In this paper, we propose a method for the construction of international knowledge spillover networks by incorporating patent citations with co-inventors information so as to detect the change of network structure induced by social ties of co-inventors and reflect both explicit and tacit knowledge diffusions across national frontiers. We apply the proposed method to a sample of power system related patents granted to Chinese assignees by USPTO during 2000-2007. Our results confirm that patent citation is not an adequate indicator of knowledge flows since it reflects very few knowledge exchanging channel. However, co-invented relationships which provide trace of tacit knowledge flows can complement the patent citation data to produce a fuller picture of international knowledge spillover. The incorporation of co-inventors data helps produce a Sino-American spillover network with a structure changed from extremely loose to loosely-tied in whole but cohesive locally. The cohesive subgroups contribute much to knowledge spillover from U.S. to China and dissipate internally among Chinese firms.
机译:知识外溢是世界主要经济实体中普遍存在的现象。大多数先前的研究都采用专利引用数据来表明知识流的踪迹。但是,专利引用是反映技术扩散的嘈杂指标,并且在识别由个人联系引起的知识流方面具有局限性。在本文中,我们提出了一种通过将专利引文与共同发明人信息相结合来构建国际知识溢出网络的方法,以检测由共同发明人的社会纽带引起的网络结构的变化,并反映显性和隐性知识扩散跨越国家边界。我们将提出的方法应用于美国专商局在2000-2007年间授予中国受让人的电力系统相关专利的样本。我们的研究结果证实,专利引用不是知识流的适当指标,因为它反映的是很少的知识交换渠道。但是,提供隐性知识流痕迹的共同发明的关系可以补充专利引证数据,以提供有关国际知识溢出的更全面描述。共同发明人数据的合并有助于建立一个中美溢出网络,其结构从极度松散变为整体松散,但局部凝聚力强。凝聚力强的子群对从美国到中国的知识溢出做出了很大贡献,并在中国企业内部扩散。

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