Innovation Network

Title Page: Proceedings of the National Academy of Sciences

Abstract

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.

Date
Jun 30, 2020 9:00 AM — 10:00 AM
Location
Chongqing
No. 174, Shazheng Street, Shapingba District, Chongqing 400044
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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.

Citation: Acemoglu, D., Akcigit, U., & Kerr, W. R. (2016). Innovation network. Proceedings of the National Academy of Sciences, 113(41), 11483–11488. https://doi.org/10.1073/pnas.1613559113

Weiwei Zheng
Weiwei Zheng
Ph.D. Candidate

My research interests include regional economics, industrial economics, and spatial econometrics theory & application.