Technology Transfer in Brazilian Federal Universities: An Analysis of Efficiency and the Role of Institutional Policies*
Technology transfer, Federal universities, Innovation policies, University efficiency, Data Envelopment Analysis, Intellectual property.
Technology transfer plays a central role in the so called third mission of universities, alongside teaching and research, and is fundamental for innovation, competitiveness, and economic development. In the Brazilian context, this process has been driven by public policies, such as the 2004 Innovation Law and the Legal Framework for Science, Technology and Innovation, which established guidelines to strengthen cooperation between universities, government, and the productive sector. In addition, universities own innovation policies, created to meet legal requirements and to guide the management of internal processes related to intellectual property and technology transfer, have become structuring elements of the system. In Brazil, despite regulatory advances and the growth of intellectual property production, there are low levels of commercialization and strong heterogeneity among federal universities, resulting in low efficiency and asymmetries. In this scenario, this thesis seeks to answer the following research question, how is the efficiency of technology transfer in Brazilian federal universities related to the quality of the normative design of their institutional innovation policies? To this end, the study is structured into three complementary articles. The first consists of a systematic literature review covering 128 articles published between 1995 and 2024, identifying study characteristics, outcome and explanatory variables, theories used, and research gaps. Article 2 analyzes, through a quantitative content analysis approach, 157 documents of Brazilian federal universities, in the light of the Resource Based View and Actor Network Theory. The findings reveal a robust normative core in governance, intellectual property, and financial incentives, but weaknesses in technological prospecting, support services, post licensing monitoring, and the strengthening of an entrepreneurial culture. Article 3 measures the efficiency of technology transfer in federal universities using dynamic network Data Envelopment Analysis (DEA) and estimates three Tobit regression models that relate efficiency to the indicators of normative quality derived from Article 2. The results show that the main bottleneck lies in the technology transfer stage and that financial and incentive instruments, as well as more structured governance arrangements for technology transfer offices, are positively associated with efficiency, especially in the stage of intellectual property generation.