Firms’ knowledge search and local knowledge externalities in innovation performance

Autor: Stephen Roper, Karen Bonner, James H. Love
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: Roper, S, Love, J & Bonner, K 2017, ' Firms’ Knowledge Search and Local Knowledge Externalities in Innovation Performance ', Research Policy, vol. 46, no. 1, pp. 43-56 . https://doi.org/10.1016/j.respol.2016.10.004
ISSN: 0048-7333
DOI: 10.1016/j.respol.2016.10.004
Popis: We use an augmented version of the UK Innovation Surveys 4–7 to explore firm-level and local area openness externalities on firms’ innovation performance. We find strong evidence of the value of external knowledge acquisition both through interactive collaboration and non-interactive contacts such as demonstration effects, copying or reverse engineering. Levels of knowledge search activity remain well below the private optimum, however, due perhaps to informational market failures. We also find strong positive externalities of openness resulting from the intensity of local interactive knowledge search—a knowledge diffusion effect. However, there are strong negative externalities resulting from the intensity of local non-interactive knowledge search—a competition effect. Our results provide support for local initiatives to support innovation partnering and counter illegal copying or counterfeiting. We find no significant relationship between either local labour quality or employment composition and innovative outputs.
Databáze: OpenAIRE