
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.
330, Food sector, [SHS.SCIPO]Humanities and Social Sciences/Political science, [SHS.GESTION]Humanities and Social Sciences/Business administration, O310, Absorptive capacity, O330, [SHS.GESTION] Humanities and Social Sciences/Business administration, O320, Knowledge production function, [SHS.SCIPO] Humanities and Social Sciences/Political science, Patents
330, Food sector, [SHS.SCIPO]Humanities and Social Sciences/Political science, [SHS.GESTION]Humanities and Social Sciences/Business administration, O310, Absorptive capacity, O330, [SHS.GESTION] Humanities and Social Sciences/Business administration, O320, Knowledge production function, [SHS.SCIPO] Humanities and Social Sciences/Political science, Patents
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 33 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
