Open Access. Powered by Scholars. Published by Universities.®

Digital Commons Network

Open Access. Powered by Scholars. Published by Universities.®

Social and Behavioral Sciences

PDF

University of Kentucky

Series

Patents

Articles 1 - 2 of 2

Full-Text Articles in Entire DC Network

Can Mergers And Acquisitions Internalize Positive Externalities In Funding Innovation?, Leo Li, Mark Liu Aug 2019

Can Mergers And Acquisitions Internalize Positive Externalities In Funding Innovation?, Leo Li, Mark Liu

Institute for the Study of Free Enterprise Working Papers

Fundamental innovation usually involves huge upfront costs, but the benefits are spread across various sectors of the economy. Given the large costs and limited appropriability of the benefits associated with the innovation, individual firms underinvest in these innovations relative to the socially optimal level. We find that mergers and acquisitions (M&As) can internalize the positive externalities by merging firms from both the user industries and the producer industries of an innovation. Using the US patent citation dataset, we define the user and producer relationship between each pair of industries and between each pair of industry and technological class. We then …


Evaluating Disparities In The U.S. Technology Transfer Ecosystem To Improve Bench To Business Translation, James Weis, Ashvin Bashyam, Gregory J. Ekchian, Kathryn Paisner, Nathan L. Vanderford Mar 2018

Evaluating Disparities In The U.S. Technology Transfer Ecosystem To Improve Bench To Business Translation, James Weis, Ashvin Bashyam, Gregory J. Ekchian, Kathryn Paisner, Nathan L. Vanderford

Markey Cancer Center Faculty Publications

Background: A large number of highly impactful technologies originated from academic research, and the transfer of inventions from academic institutions to private industry is a major driver of economic growth, and a catalyst for further discovery. However, there are significant inefficiencies in academic technology transfer. In this work, we conducted a data-driven assessment of translational activity across United States (U.S.) institutions to better understand how effective universities are in facilitating the transfer of new technologies into the marketplace. From this analysis, we provide recommendations to guide technology transfer policy making at both the university and national level.

Methods: Using data …