This dissertation study utilized an author-researcher-developed multistage university technology transfer capital efficiency model to evaluate university technology transfer relative capital efficiencies and trends via nonparametric and parametric analyses. Five research milestones were achieved. In completing research goal one, the researcher-author conducted an extensive literature review of key federal policy measures that contributed to the gestation and evolution of university technology transfer from the agrarian economy of the 18th and 19th centuries; to the industrialization economy of the first two-thirds of the 20th century; and to the knowledge-based economy of the latter third of the 20th century through the present. In achieving research goal two, the author-investigator developed a new four-stage university technology transfer capital efficiency model to allow for a more fine-grained representation and analysis of university technology transfer processes and complexities. This model had three major variants. To attain research goal three, the researcher-investigator measured university technology transfer capital efficiencies at the aggregate system, joined network, and independent stage levels from 2010 to 2020. Furthermore, year-to-year capital efficiency changes for each university were measured by performing Malmquist total factor productivity index decomposition for 10 consecutive year-to-year pairs between 2010 and 2020. To fulfill research goal four, TreeNet regression--an artificial intelligence/machine learning algorithm with stochastic gradient boosting--was utilized to model the effect of essential factors on capital efficiency scores for the joined network and individual stage levels. In meeting the fifth research objective, linear regression analysis was performed to examine the influence of 12 overarching institutional characteristics on university technology transfer capital efficiency. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://bibliotheek.ehb.be:2222/en-US/products/dissertations/individuals.shtml.]