
This paper articulates the hypothesis that there is an optimal size of knowledge pools. Too little a density of innovation activities reduces the accessibility of external knowledge. Too large a density enhances congestion and reduces appropriability. Firms can benefit from actual increasing returns stemming from the indivisibility, replicability and non-exhaustibility of knowledge only when the size of innovation networks is comprised between the two extremes. The empirical evidence confirms that the output elasticity of knowledge, included in a typical Griliches production function, is itself a quadratic function of the size of innovation networks. Knowledge externalities do trigger increasing returns that are external to each firm, only within a well defined interval. Knowledge externalities are a property of the system into which firms are embedded. As such they are endogenous to the system and likely to exhibit specific properties related to the changing characteristics of the system itself. The quality of knowledge governance mechanisms in place plays a key role in assessing the actual size of the net positive effects of knowledge externalities.
| 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). | 10 | |
| 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. | Average | |
| 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 |
