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

Shyama Ramani, Mhamed-Ali El-Aroui and Myriam Carrère (myriam.carrere@inrae.fr)
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Shyama Ramani: X-DEP-ECO - Département d'Économie de l'École Polytechnique - X - École polytechnique - IP Paris - Institut Polytechnique de Paris, INRA - Institut National de la Recherche Agronomique
Mhamed-Ali El-Aroui: LARODEC - Laboratoire de Recherche Opérationnelle de Décision et de Contrôle de Processus - Université de Tunis - ISG de Tunis
Myriam Carrère: GAEL - Laboratoire d'Economie Appliquée = Grenoble Applied Economics Laboratory - UPMF - Université Pierre Mendès France - Grenoble 2 - INRA - Institut National de la Recherche Agronomique

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Abstract: 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.

Keywords: Knowledge production function; Patents; Absorptive capacity; Food sector (search for similar items in EconPapers)
Date: 2008
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Citations: View citations in EconPapers (22)

Published in Research Policy, 2008, 37 (9), pp.1568-1578. ⟨10.1016/j.respol.2008.06.009⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-00365396

DOI: 10.1016/j.respol.2008.06.009

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