Innovation network

被引：159

作者：

Acemoglu, Daron ^{[1
]}

Akcigit, Ufuk ^{[2
]}

Kerr, William R. ^{[3
]}

机构：

[1] MIT, Dept Econ, Cambridge, MA 02139 USA

[2] Univ Chicago, Dept Econ, Chicago, IL 60637 USA

[3] Harvard Univ, Harvard Business Sch, Boston, MA 02163 USA

来源：

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA | 2016年 / 113卷 / 41期

基金：

美国国家科学基金会;

关键词：

innovation; networks; patents; growth;

D O I：

10.1073/pnas.1613559113

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

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.

引用

页码：11483 / 11488

页数：6

共 19 条

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