Dynamic Formation of Knowledge Networks and Innovating Firm

Jie Cai, Can Tian
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Abstract

We document a series of new facts about the very first firms and patents that form new edges in the directed citation networks across patent categories. We call them pathfinder firms and patents. First, the typical pathfinder firms are very larger firms. Second, the average pathfinder patents have higher quality than other patents in different quality measures. Third, firms innovate faster, market value, profit and productivity increase in the future, when they invent a large number of pathfinder patents or are cited by pathfinder patents currently. Fourth, new citation links generate positive externalities to peer firms that innovate in nearby technology space. We then build a dynamic formation model of knowledge network, where new citations form through both quality based preferential attachment, exact and mutated copying of parent patent’s citations. The model rationalizes the firm level empirical facts. After calibrated to the patent citation data, the model sheds lights on the causes of productivity show down: rising number of citation per patent, marginal cost of patent quality and research wage have driven up the cost to innovate since 1976. Effective R&D policies need to decrease these cost factors.
知识网络的动态形成与创新型企业
我们记录了一系列关于在专利类别的定向引用网络中形成新边缘的第一批公司和专利的新事实。我们称它们为探路者公司和专利。首先,典型的探路者公司是非常大的公司。第二,在不同的质量指标中,平均探路者专利的质量高于其他专利。第三,当企业发明了大量的探路者专利或目前被探路者专利引用时,企业创新速度会更快,未来的市场价值、利润和生产率都会提高。第四,新的引用链接对在附近技术空间创新的同行公司产生正外部性。在此基础上,构建了知识网络的动态形成模型,即通过基于质量的优先依附、精确复制和突变复制母专利的引文形成新的引文。该模型合理化了企业层面的经验事实。通过对专利引用数据的校正,该模型揭示了生产率下降的原因:自1976年以来,专利引用次数的增加、专利质量的边际成本和研究人员工资的增加推动了创新成本的上升。有效的研发政策需要降低这些成本因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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