文章基本信息

标题：Innovation network
本地全文：下载
作者：Daron Acemoglu ; Ufuk Akcigit ; William R. Kerr 等
期刊名称：Proceedings of the National Academy of Sciences
印刷版ISSN：0027-8424
电子版ISSN：1091-6490
出版年度：2016
卷号：113
期号：41
页码：11483-11488
DOI：10.1073/pnas.1613559113
语种：English
出版社：The National Academy of Sciences of the United States of America
摘要：Technological progress builds upon itself, with the expansion of invention in one domain propelling future work in linked fields. Our analysis uses 1.8 million US patents and their citation properties to map the innovation network and its strength. Past innovation network structures are calculated using citation patterns across technology classes during 1975–1994. The interaction of this preexisting network structure with patent growth in upstream technology fields has strong predictive power on future innovation after 1995. This pattern is consistent with the idea that when there is more past upstream innovation for a particular technology class to build on, then that technology class innovates more.
关键词：innovation ; networks ; patents ; growth