This paper complements the Cournot collaboration game outlined in Goyal and Joshi (2003, sect. 4), with the hypothesis that pairwise R&D alliance is constrained by knowledge distance. Potential asymmetry of distance between two knowledge sets is formalized through a quasi-metric in knowldge space. If the knowledge constraints to collaboration are weak enough, the paper replicates the result by Goyal and Joshi (2003, sect. 4), that a firm is either isolated, or is connected to every other non-isolated firm in the industry. If absoprtion of ideas from ones potential partner requires sufficiently high knowledge proximity, the stable R&D networks in Cournot oligopoly are shown to display the clustering property, that is characteristic of real-world industry networks, and of social networks more generally.
Caminati, M. (2016). Clustering of R&D collaboration in Cournot oligopoly. QUADERNI DEL DIPARTIMENTO DI ECONOMIA POLITICA, 737, 1-21.
Clustering of R&D collaboration in Cournot oligopoly
Mauro Caminati
2016-01-01
Abstract
This paper complements the Cournot collaboration game outlined in Goyal and Joshi (2003, sect. 4), with the hypothesis that pairwise R&D alliance is constrained by knowledge distance. Potential asymmetry of distance between two knowledge sets is formalized through a quasi-metric in knowldge space. If the knowledge constraints to collaboration are weak enough, the paper replicates the result by Goyal and Joshi (2003, sect. 4), that a firm is either isolated, or is connected to every other non-isolated firm in the industry. If absoprtion of ideas from ones potential partner requires sufficiently high knowledge proximity, the stable R&D networks in Cournot oligopoly are shown to display the clustering property, that is characteristic of real-world industry networks, and of social networks more generally.File | Dimensione | Formato | |
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https://hdl.handle.net/11365/1068583