Abstract
We introduce the model of knowledge spillover on networks. Knowledge spillover is a major source of economic growth; and is a representative externality in economic phenomena. We show that the model has the following four characteristics: (1) the long-run growth rate is not relevant to the mean degree, but is determined by the mean degree of the nearest neighbors; (2) the productivity level of a firm is proportional to the degree of the firm; (3) the long-run growth rate increases with the increasing heterogeneity of the network; and (4) of three representative networks, the largest growth rate is in scale-free networks and the least in regular networks.
Original language | English |
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Pages (from-to) | 1207-1214 |
Number of pages | 8 |
Journal | Physica A: Statistical Mechanics and its Applications |
Volume | 462 |
DOIs | |
Publication status | Published - 2016 Nov 15 |
Keywords
- Complex networks
- Knowledge spillover
- Network heterogeneity
- Scale-free networks
ASJC Scopus subject areas
- Statistics and Probability
- Condensed Matter Physics