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Endogenous growth in production networks

Author

Listed:
  • Stanislao Gualdi

    (MICS - Mathématiques et Informatique pour la Complexité et les Systèmes - CentraleSupélec)

  • Antoine Mandel

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique, PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

Abstract

We investigate the interplay between technological change and macro- economic dynamics in an agent-based model of the formation of production networks. On the one hand, production networks form the structure that determines economic dynamics in the short run. On the other hand, their evolution reflects the long-term impacts of competition and innovation on the economy. We account for process innovation via increasing variety in the input mix and hence increasing connectivity in the network. In turn, product innovation induces a direct growth of the firm's productivity and the potential destruction of links. The interplay between both processes generates complex technological dynamics in which phases of process and product innovation successively dominate. The model reproduces a wealth of stylized facts about industrial dynamics and technological progress, in particular the persistence of heterogeneity among firms and Wright's law for the growth of productivity within a technological paradigm. We illustrate the potential of the model for the analysis of industrial policy via a preliminary set of policy experiments in which we investigate the impact on innovators' success of feed-in tariffs and of priority market access.

Suggested Citation

  • Stanislao Gualdi & Antoine Mandel, 2019. "Endogenous growth in production networks," Post-Print halshs-01905998, HAL.
  • Handle: RePEc:hal:journl:halshs-01905998
    DOI: 10.1007/s00191-018-0552-x
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    5. Giovanni Dosi & Andrea Roventini, 2019. "More is different ... and complex! the case for agent-based macroeconomics," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 1-37, March.
    6. Mandel, Antoine & Taghawi-Nejad, Davoud & Veetil, Vipin P., 2019. "The price effects of monetary shocks in a network economy," Journal of Economic Behavior & Organization, Elsevier, vol. 164(C), pages 300-316.
    7. Raffaele Giammetti, 2019. "Tariffs, Domestic Import Substitution and Trade Diversion in Input-Output Production Networks: how to deal with Brexit," Mo.Fi.R. Working Papers 152, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences.
    8. Lamperti, F. & Dosi, G. & Napoletano, M. & Roventini, A. & Sapio, A., 2020. "Climate change and green transitions in an agent-based integrated assessment model," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    9. Vipin P. Veetil, 2021. "The pausing view of unemployment," Evolutionary and Institutional Economics Review, Springer, vol. 18(2), pages 435-446, September.
    10. Giammetti, Raffaele, 2019. "Tariffs, Domestic Import Substitution and Trade Diversion in Input-Output Production Networks: how to deal with Brexit," MPRA Paper 92835, University Library of Munich, Germany.
    11. Daron Acemoglu & Pablo D. Azar, 2020. "Endogenous Production Networks," Econometrica, Econometric Society, vol. 88(1), pages 33-82, January.
    12. Veetil, Vipin P. & Wagner, Richard E., 2018. "Nominal GDP stabilization: Chasing a mirage," The Quarterly Review of Economics and Finance, Elsevier, vol. 67(C), pages 227-236.
    13. Pierre Gosselin & Aïleen Lotz & Marc Wambst, 2019. "A Statistical Field Approach to Capital Accumulation," Working Papers hal-02280634, HAL.
    14. Karl Naumann-Woleske, 2023. "Agent-based Integrated Assessment Models: Alternative Foundations to the Environment-Energy-Economics Nexus," Papers 2301.08135, arXiv.org, revised Jan 2023.
    15. Raffaele Giammetti & Alberto Russo & Mauro Gallegati, 2020. "Key sectors in input–output production networks: An application to Brexit," The World Economy, Wiley Blackwell, vol. 43(4), pages 840-870, April.
    16. Agung Suwandaru & Thamer Alghamdi & Nurwanto Nurwanto, 2021. "Empirical Analysis on Public Expenditure for Education and Economic Growth: Evidence from Indonesia," Economies, MDPI, vol. 9(4), pages 1-13, October.
    17. Chiara Freichel & Nicolas Neis & Axel Winkelmann, 2021. "A Taxonomy For Interorganizational Production Networks," Business Logistics in Modern Management, Josip Juraj Strossmayer University of Osijek, Faculty of Economics, Croatia, vol. 21, pages 167-187.
    18. repec:hal:spmain:info:hdl:2441/5vt1fet9fq9o5pkgj2qh2vn1cm is not listed on IDEAS

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    More about this item

    Keywords

    Agent-based modeling production networks; Endogenous technological change;

    JEL classification:

    • D57 - Microeconomics - - General Equilibrium and Disequilibrium - - - Input-Output Tables and Analysis
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • L16 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Industrial Organization and Macroeconomics; Macroeconomic Industrial Structure

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