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

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  • Hicham M. Hachem

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. JEL Codes: C51, C61, E32, O11, O33

Suggested Citation

  • Hicham M. Hachem, 2017. "Innovation, dynamics and the myths about knowledge, technology and R&D-driven economic growth: an evolving network model," Journal of Innovation Economics, De Boeck Université, vol. 0(2), pages 13-32.
    • Handle: RePEc:cai:jiedbu:jie_pr1_0011
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    Citations

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    Cited by:

    1. Sven Kevin van Langen & Renato Passaro, 2021. "The Dutch Green Deals Policy and Its Applicability to Circular Economy Policies," Sustainability, MDPI, vol. 13(21), pages 1-17, October.
    2. Jorge MEIRA COSTA, 2018. "Participatory Budgeting (Portugal) as a marshalling legal process to formally and democratically defining European Monetary System and Policy," Economic Alternatives, University of National and World Economy, Sofia, Bulgaria, issue 2, pages 279-295, June.

    More about this item

    Keywords

    innovation; knowledge; technology; diffusion; graph theory; nonlinear dynamics;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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