Knowledge Spillovers through Networks of Scientists
Knowledge Spillovers through Networks of Scientists
复制标题
通过科学家网络的知识溢出
DOI：
10.1093/restud/rdz033
复制
发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Paolo B. Zacchia
中科院分区：
文献类型：
--
作者：
Paolo B. Zacchia
在本文中，我直接检验了不同公司发明者之间的互动推动知识溢出的假设。我构建了一个上市公司的网络，其中每个链接是两家公司的发明者在两个组织中有前专利合作者的相对比例的函数。我用这个方法来衡量每个公司的R&D对其网络联系的生产率和创新成果的影响。一个实证问题是，由此产生的估计可能反映了未观察到的，同时决定企业绩效，网络连接，和外部R&D。我解决这个问题的一个创新的IV战略，公司互动的博弈论模型的动机。我的仪器的R&D的一个公司的连接与其他公司是足够远的网络空间。由此产生的溢出估计，我计算出，在连接到网络的企业之间的R&D的边际社会回报约为112%的边际私人回报。
In this article, I directly test the hypothesis that interactions between inventors of different firms drive knowledge spillovers. I construct a network of publicly traded companies in which each link is a function of the relative proportion of two firms’ inventors who have former patent collaborators in both organizations. I use this measure to weigh the impact of R&D performed by each firm on the productivity and innovation outcomes of its network linkages. An empirical concern is that the resulting estimates may reflect unobserved, simultaneous determinants of firm performance, network connections, and external R&D. I address this problem with an innovative IV strategy, motivated by a game-theoretic model of firm interaction. I instrument the R&D of one firm’s connections with that of other firms that are sufficiently distant in network space. With the resulting spillover estimates, I calculate that among firms connected to the network the marginal social return of R&D amounts to approximately 112% of the marginal private return.
影响因子：
1.9
作者：
Kelejian, HH;Prucha, IR
通讯作者：
Prucha, IR