Technology transfers from universities and innovation
This study uses causal inference methods to assess the impact of university research and development (R&D) transfers on firm innovation, utilizing the Spanish survey (PITEC) spanning the period from 2003 to 2016. In particular, multivariate Nearest Neighbor Matching (NNM) method is employed for...
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| Tipo de recurso: | tesis de maestría |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Universidad del País Vasco |
| Repositorio: | Addi. Archivo Digital para la Docencia y la Investigación |
| OAI Identifier: | oai:addi.ehu.eus:10810/73809 |
| Acceso en línea: | http://hdl.handle.net/10810/73809 |
| Access Level: | acceso abierto |
| Palabra clave: | R&D transfers innovation universities |
| Sumario: | This study uses causal inference methods to assess the impact of university research and development (R&D) transfers on firm innovation, utilizing the Spanish survey (PITEC) spanning the period from 2003 to 2016. In particular, multivariate Nearest Neighbor Matching (NNM) method is employed for the estimation of the Average Treatment Effect on the Treated (ATET). The findings indicate that university collaboration has a mostly positive impact on a range of innovation outcomes, including process innovation, product innovation, and patent registration, but it mainly not significant. These findings lend support to the proposition that university R&D transfers are an important factor in stimulating firm innovation. Finally, the research acknowledges the limitations of its methodology and suggests avenues for future research. |
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