Knowledge spillover processes as complex networks

Tomohiko Konno

Research output: Contribution to journalArticle

2 Citations (Scopus)

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 languageEnglish
Pages (from-to)1207-1214
Number of pages8
JournalPhysica A: Statistical Mechanics and its Applications
Volume462
DOIs
Publication statusPublished - 2016 Nov 15

Fingerprint

Complex Networks
Long-run
economics
Externalities
Economic Growth
Scale-free Networks
Productivity
Nearest Neighbor
productivity
Directly proportional
Economics
Knowledge
Model
Business

Keywords

  • Complex networks
  • Knowledge spillover
  • Network heterogeneity
  • Scale-free networks

ASJC Scopus subject areas

  • Statistics and Probability
  • Condensed Matter Physics

Cite this

Knowledge spillover processes as complex networks. / Konno, Tomohiko.

In: Physica A: Statistical Mechanics and its Applications, Vol. 462, 15.11.2016, p. 1207-1214.

Research output: Contribution to journalArticle

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