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On the emergence of scale-free production networks

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Abstract

Building upon the standard model of monopolistic competition on the market for intermediary goods, we propose a simple dynamical model of the formation of production networks. The model subsumes the standard general equilibrium approach and robustly reproduces key stylized facts of firms' demographics. Firms' growth rates are negatively correlated with size and follow a core double-exponential distribution followed by fat tails. Firms' size and production network are power-law distributed. These properties emerge because continuous inflow of new firms shifts away the model from a steady state to a disequilibrium regime in which firms get scaled according to their resistance to competitive forces

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  • Stanislao Gualdi & Antoine Mandel, 2015. "On the emergence of scale-free production networks," Documents de travail du Centre d'Economie de la Sorbonne 15060, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
  • Handle: RePEc:mse:cesdoc:15060
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    Cited by:

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    3. Stanislao Gualdi & Antoine Mandel, 2019. "Endogenous growth in production networks," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 91-117, March.
    4. Kushal K. Reddy & Vipin P. Veetil, 2023. "Business cycles and the internal dynamics of firms," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 36(1), pages 43-60, March.
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    6. Yoshiyuki ARATA & Philipp MUNDT, 2019. "Topology and Formation of Production Input Interlinkages: Evidence from Japanese microdata," Discussion papers 19027, Research Institute of Economy, Trade and Industry (RIETI).
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    8. Mundt, Philipp, 2021. "The formation of input–output architecture: Evidence from the European Union," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 89-104.
    9. Kuhla, Kilian & Willner, Sven N & Otto, Christian & Levermann, Anders, 2023. "Resilience of international trade to typhoon-related supply disruptions," Journal of Economic Dynamics and Control, Elsevier, vol. 151(C).
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    11. Otto, Christian & Willner, Sven Norman & Wenz, Leonie & Frieler, Katja & Levermann, Anders, 2017. "Modeling loss-propagation in the global supply network: The dynamic agent-based model acclimate," OSF Preprints 7yyhd, Center for Open Science.
    12. Leonie Wenz & Anders Levermann & Sven Norman Willner & Christian Otto & Kilian Kuhla, 2020. "Post-Brexit no-trade-deal scenario: Short-term consumer benefit at the expense of long-term economic development," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-14, September.
    13. 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.
    14. Hiroyasu Inoue & Yasuyuki Todo, 2019. "Propagation of negative shocks across nation-wide firm networks," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-17, March.
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    16. Hempfing, Alexander & Mundt, Philipp, 2022. "Tie formation in global production chains," BERG Working Paper Series 181, Bamberg University, Bamberg Economic Research Group.

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    More about this item

    Keywords

    Production network; network; network formation; scale-free networks; firms demographics; distribution of firms' size; Zipf law; general equilibrium; monopolistic competition; disequilibrium;
    All these keywords.

    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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