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

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  • Konno, Tomohiko

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.

Suggested Citation

  • Konno, Tomohiko, 2016. "Network effect of knowledge spillover: Scale-free networks stimulate R&D activities and accelerate economic growth," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 458(C), pages 157-167.
    • Handle: RePEc:eee:phsmap:v:458:y:2016:i:c:p:157-167
    DOI: 10.1016/j.physa.2016.04.005
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    References listed on IDEAS

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    2. Wang, Ding & Guo, Peng & Kilgour, D. Marc & Ponnambalam, Kumaraswamy & Hipel, Keith W., 2022. "The evolution of R&D collaboration in inter-organizational project networks: Effects of reference points for competitive preference," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 591(C).
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    4. Mao, Chongfeng & Yu, Xianyun & Zhou, Qing & Harms, Rainer & Fang, Gang, 2020. "Knowledge growth in university-industry innovation networks – Results from a simulation study," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    5. Zhu, He & Ma, Jing, 2018. "Knowledge diffusion in complex networks by considering time-varying information channels," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 494(C), pages 225-235.

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