On estimating a knowledge production function at the firm and sector level using patent statistics

Autor: Shyama V. Ramani, Mhamed-Ali El-Aroui, Myriam Carrere
Přispěvatelé: Département d'Économie de l'École Polytechnique (X-DEP-ECO), École polytechnique (X), Institut National de la Recherche Agronomique (INRA), Laboratoire de Recherche Opérationnelle de Décision et de Contrôle de Processus (LARODEC), Université de Tunis [Tunis]-ISG de Tunis, INRA Grenoble, Université Pierre Mendès France - Grenoble 2 (UPMF), Université de Tunis-ISG de Tunis, RS: GSBE TIID
Rok vydání: 2008
Předmět:
Zdroj: Research Policy
Research Policy, Elsevier, 2008, 37 (9), pp.1568-1578. ⟨10.1016/j.respol.2008.06.009⟩
Research Policy, 37, 1568-1578. Elsevier
ISSN: 0048-7333
DOI: 10.1016/j.respol.2008.06.009
Popis: International audience; This paper proposes a definition of the knowledge base of an agent using only patent statistics. It then develops a model of a knowledge production function that can be estimated at the firm level and the sector level using the knowledge base matrix. It identifies the impact of own knowledge base, absorptive capacity to exploit intersectoral spillovers, and absorptive capacity to exploit intrasectoral spillovers, on new technology generation. It permits a study of the dynamics of knowledge generation without having to resort to additional information on the R&D activities of firms. Finally, the paper illustrates the method with the case study of new biotechnology-based knowledge creation by firms in the foods sector.
Databáze: OpenAIRE