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Innovation, Finance, and Economic Growth: An Agent-Based Approach

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  • Giorgio Fagiolo
  • Daniele Giachini
  • Andrea Roventini

Abstract

This paper extends the endogenous-growth agent-based model in Fagiolo and Dosi (2003) to study the finance-growth nexus. We explore industries where firms produce a homogeneous good using existing technologies, perform R&D activities to introduce new techniques, and imitate the most productive practices. Unlike the original model, we assume that both exploration and imitation require resources provided by banks, which pool agent savings and finance new projects via loans. We find that banking activity has a positive impact on growth. However, excessive financialization can hamper growth. Indeed, we find a significant and robust inverted-U shaped relation between financial depth and growth. Overall, our results stress the fundamental (and still poorly understood) role played by innovation in the finance-growth nexus.

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  • Giorgio Fagiolo & Daniele Giachini & Andrea Roventini, 2017. "Innovation, Finance, and Economic Growth: An Agent-Based Approach," LEM Papers Series 2017/30, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    • Handle: RePEc:ssa:lemwps:2017/30
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    6. Popoyan, Lilit & Napoletano, Mauro & Roventini, Andrea, 2020. "Winter is possibly not coming: Mitigating financial instability in an agent-based model with interbank market," Journal of Economic Dynamics and Control, Elsevier, vol. 117(C).
    7. Vandin, Andrea & Giachini, Daniele & Lamperti, Francesco & Chiaromonte, Francesca, 2022. "Automated and distributed statistical analysis of economic agent-based models," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    8. Botta, Alberto & Caverzasi, Eugenio & Russo, Alberto & Gallegati, Mauro & Stiglitz, Joseph E., 2021. "Inequality and finance in a rent economy," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 998-1029.
    9. Andrea Vandin & Daniele Giachini & Francesco Lamperti & Francesca Chiaromonte, 2021. "Automated and Distributed Statistical Analysis of Economic Agent-Based Models," Papers 2102.05405, arXiv.org, revised Nov 2023.
    10. Andrea Vandin & Daniele Giachini & Francesco Lamperti & Francesca Chiaromonte, 2020. "Automated and Distributed Statistical Analysis of Economic Agent-Based Models," LEM Papers Series 2020/31, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    11. Darren Pawski & Robert Powell & Anna Golab, 2022. "An Analysis of Whether Privately Owned Financial Planning Practices Are Transitioning to Fully Independent Advice Providers," JRFM, MDPI, vol. 15(8), pages 1-16, August.
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    More about this item

    Keywords

    Agent-based Models; Innovation; Exploration vs. Exploitation; Endogenous Growth; Banking Sector; Finance-Growth Nexus;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O21 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Planning Models; Planning Policy

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