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R&D Subsidization Effect and Network Centralization: Evidence from an Agent-Based Micro-Policy Simulation

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Abstract

This paper presents an agent-based micro-policy simulation model assessing public R&D policy effect when R&D and non-R&D performing companies are located within a network. We set out by illustrating the behavioural structure and the computational logic of the proposed model; then, we provide a simulation experiment where the pattern of the total level of R&D activated by a fixed amount of public support is analysed as function of companies’ network topology. More specifically, the suggested simulation experiment shows that a larger “hubness†of the network is more likely accompanied with a decreasing median of the aggregated total R&D performance of the system. Since the aggregated firm idiosyncratic R&D (i.e., the part of total R&D independent of spillovers) is slightly increasing, we conclude that positive cross-firm spillover effects - in the presence of a given amount of support - have a sizeable impact within less centralized networks, where fewer hubs emerge. This may question the common wisdom suggesting that larger R&D externality effects should be more likely to arise when few central champions receive a support.

Suggested Citation

  • Pierpaolo Angelini & Giovanni Cerulli & Federico Cecconi & Maria-Augusta Miceli & Bianca Potì, 2017. "R&D Subsidization Effect and Network Centralization: Evidence from an Agent-Based Micro-Policy Simulation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(4), pages 1-4.
  • Handle: RePEc:jas:jasssj:2015-131-3
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    File URL: http://jasss.soc.surrey.ac.uk/20/4/4/4.pdf
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    Cited by:

    1. Inyoung Hwang, 2020. "An Agent-Based Model of Firm Size Distribution and Collaborative Innovation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 23(1), pages 1-9.

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