Innovation, dynamics and the myths about knowledge, technology and R&D-driven economic growth: an evolving network model

Hicham Hachem
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Hicham Hachem: CRIISEA - Centre de Recherche sur les Institutions, l'Industrie et les Systèmes Économiques d'Amiens - UR UPJV 3908 - UPJV - Université de Picardie Jules Verne

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Abstract: This paper seeks to show problems which follow from wrong assumptions about the key drivers of innovation policy and theory. A theoretical evolving network model is proposed for that purpose, taking into consideration innovation opportunities that are not necessarily driven by technological discoveries, R&D or knowledge diffusion. Innovation is defined by a new combination of means of production, and is introduced to the initial condition by rewiring a regular graph model. Dynamics of the diffusion process are captured by the statistical reconstruction of the solutions for recurrence equations within a discrete time perspective. Simulation results show that innovation gives rise to essentially unstable turbulent dynamics. Stability analysis implies an alternative interpretation of the nature of innovations and their dynamics. As a source of economic change, innovations are conjectured to be dependent on scale and diversity. They are closely linked to novelty, rather than to previous states of knowledge or technology.

Date: 2017-05-15
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Published in Journal of Innovation Economics & Management, 2017, 23 (2), pp.13-32. ⟨10.3917/jie.pr1.0011⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03823656

DOI: 10.3917/jie.pr1.0011

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