Innovation Network

Daron  Acemoglu; Ufuk  Akcigit; William R. Kerr

Article | Proceedings of the National Academy of Sciences of the United States of America | October 11, 2016

Innovation Network

by Daron Acemoglu, Ufuk Akcigit and William R. Kerr

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 U.S. 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 to 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.

Keywords: Networks; Patents;

Format: Print

Find at Harvard Read Now

Citation:

Acemoglu, Daron, Ufuk Akcigit, and William R. Kerr. "Innovation Network." Proceedings of the National Academy of Sciences of the United States of America 113, no. 41 (October 11, 2016).

Western Governors University (WGU) was a nonprofit institution of higher education whose online learning model served more than 100,000 students in 2019 and was scaling rapidly. President Scott Pulsipher wanted to expand WGU’s reach to millions more with a plan called 10x Vision. 10x Vision called for scaling enrollment, creating new ventures to expand access to higher education that complement WGU’s business model, and funding these ventures. Pulsipher believed WGU had a potential target market of 40 million people in the United States, as an increasing number of jobs required post-secondary education. How could WGU help these individuals participate in the higher education system and achieve upward mobility?

How can policymakers and business leaders address AI and automation's potential for widespread labor market displacement? This case examines potential policy responses, looking closely at the United States' existing social safety net and the impacts of implementing Universal Basic Income or a federal job guarantee.

We use the construction of India's Golden Quadrangle (GQ) central highway network, together with comprehensive loan data drawn from the Reserve Bank of India, to investigate the interaction between infrastructure development and financial sector depth. We identify a disproportionate increase in loan count and average loan size in districts along the GQ highway network using stringent specifications with industry and district fixed effects. Our results hold in straight-line IV frameworks and are not present in “placebo tests” with another highway that was planned to be upgraded at the same time as GQ but subsequently delayed. Importantly, however, results are concentrated in districts with stronger initial financial development, suggesting that while financing does respond to large infrastructure investments and help spur real economic outcomes, initial financial sector development might play an important role in determining where real activity will grow.

Faculty & Research

Innovation Network

Abstract

Citation:

About the Author

More from the Author