Network effect of knowledge spillover: Scale-free networks stimulate R&D activities and accelerate economic growth

Tomohiko Konno

doi:10.1016/j.physa.2016.04.005

Network effect of knowledge spillover: Scale-free networks stimulate R&D activities and accelerate economic growth

Tomohiko Konno^*

^*Corresponding author for this work

Waseda Institute for Advanced Study

Research output: Contribution to journal › Article › peer-review

10 Citations (Scopus)

Abstract

We study how knowledge spillover networks affect research and development (R&D) activities and economic growth. For this purpose, we extend a Schumpeterian growth model to the one on networks that depict the knowledge spillover relationships of R&D. We show that scale-free networks stimulate R&D activities and accelerate economic growth.

Original language	English
Pages (from-to)	157-167
Number of pages	11
Journal	Physica A: Statistical Mechanics and its Applications
Volume	458
DOIs	https://doi.org/10.1016/j.physa.2016.04.005
Publication status	Published - 2016 Sept 15

Keywords

Complex networks
Economic growth
Knowledge spillover process
Network heterogeneity
Research and development (R&D)
Scale-free networks

ASJC Scopus subject areas

Condensed Matter Physics
Statistics and Probability

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.physa.2016.04.005

Cite this

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AB - We study how knowledge spillover networks affect research and development (R&D) activities and economic growth. For this purpose, we extend a Schumpeterian growth model to the one on networks that depict the knowledge spillover relationships of R&D. We show that scale-free networks stimulate R&D activities and accelerate economic growth.

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KW - Knowledge spillover process

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ER -

Network effect of knowledge spillover: Scale-free networks stimulate R&D activities and accelerate economic growth

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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