2025 Volume 21 Issue 2 Pages 2_74-2_82
The purpose of this study was to identify the internal factors of Japanese universities that influence the total number and increase in their spin-offs. The analysis employed the Bayesian Information Criterion (BIC) and Lasso regression. The dependent variables included the total number of university spin-offs in FY2019, FY2020, and FY2021, as well as the annual increase in spin-offs (from FY2019 to FY2020) and the two-year increase (from FY2019 to FY2021). The independent variables included collaborative research funding, contract research funding, grants-in-aid for scientific research (KAKENHI), the number of patent applications, the number of researchers, and the number of specialized support personnel. As a result, contract research funding had the largest positive impact on the total number of university spin-offs in each fiscal year, while the number of specialized support personnel had the most significant positive impact on the annual and the two-year increases in spin-offs.
