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

Pierpaolo Angelini (), Giovanni Cerulli, Federico Cecconi (), Maria-Augusta Miceli and Bianca Potì ()
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Federico Cecconi: http://sites.google.com/site/cecconifederico/

Journal of Artificial Societies and Social Simulation, 2017, vol. 20, issue 4, 4

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.

Keywords: R&D Policy; Networks; Complexity; Social Simulation (search for similar items in EconPapers)
Date: 2017-10-31
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