Title: Variables affecting licensing incomes for technology licensing organisations at universities with and without a medical school
Authors: Kazufumi Yaji
Addresses: New Energy and Industrial Technology Development Organization (NEDO), 16F Muza Kawasaki Central Tower, 1310 Omiya-cho, Saiwai-ku Kawasaki City, Kanagawa 212-8554, Japan
Abstract: We performed multiple regression analyses on data about patent-related activities and technology licensing revenues at universities with and without a medical school. The number of patent applications, licenses, US patents issued, option licenses and R&D spending by the government and industry are explanatory variables. Gross licensing income is the object variable. Comparing the explanatory variables that affect gross licensing income from technology licensing organisations (TLOs) at universities with and without a medical school, we conclude that the presence or absence of a medical school has no influence on overall gross licensing income. However, TLOs at a university without a medical school have more explanatory variables affecting gross licensing income than TLOs at universities with a medical school. Moreover, the number of joint research efforts with the industry has a positive effect on gross licensing income, especially for a university without a medical school.
Keywords: technology licensing organisation; TLO; TTO; medical school; multiple regression analysis.
International Journal of Technology Transfer and Commercialisation, 2019 Vol.16 No.4, pp.381 - 394
Received: 26 Jun 2019
Accepted: 27 Jun 2019
Published online: 14 Dec 2019 *