IDEAS home Printed from https://ideas.repec.org/p/eti/dpaper/16044.html
   My bibliography  Save this paper

Analyses of Aggregate Fluctuations of Firm Networks Based on the Self-Organized Criticality Model and Control Theory

Author

Listed:
  • INOUE Hiroyasu

Abstract

This study examines the difference in the size of avalanches among industries triggered by demand shocks, which can be rephrased by control of the economy or fiscal policy, and by using the production-inventory model and observed data. In addition, we investigate how differently demand shocks affect each firm by using control theory that utilizes network topology. We obtain the following results. (1) The size of avalanches follows power law. (2) The mean sizes of avalanches for industries are diverse, but their standard deviations highly overlap. (3) We compare the simulation with an input-output table and with the actual policies and find them to be compatible. (4) The expectations about becoming involved in avalanches are diverse and depend on the industries. (5) It is difficult for service industries and small firms to be affected by the control. On the other hand, mining, manufacturing, and wholesale industries are strongly affected by the control. (6) If we clip a network in descending order of capital size, we do not lose the control effect.

Suggested Citation

  • INOUE Hiroyasu, 2016. "Analyses of Aggregate Fluctuations of Firm Networks Based on the Self-Organized Criticality Model and Control Theory," Discussion papers 16044, Research Institute of Economy, Trade and Industry (RIETI).
    • Handle: RePEc:eti:dpaper:16044
    as

    Download full text from publisher

    File URL: https://www.rieti.go.jp/jp/publications/dp/16e044.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bak, Per & Chen, Kan & Scheinkman, Jose & Woodford, Michael, 1993. "Aggregate fluctuations from independent sectoral shocks: self-organized criticality in a model of production and inventory dynamics," Ricerche Economiche, Elsevier, vol. 47(1), pages 3-30, March.
    2. Daron Acemoglu & Vasco M. Carvalho & Asuman Ozdaglar & Alireza Tahbaz‐Salehi, 2012. "The Network Origins of Aggregate Fluctuations," Econometrica, Econometric Society, vol. 80(5), pages 1977-2016, September.
    3. Easterly, William & Rebelo, Sergio, 1993. "Fiscal policy and economic growth: An empirical investigation," Journal of Monetary Economics, Elsevier, vol. 32(3), pages 417-458, December.
    4. Xavier Gabaix, 2011. "The Granular Origins of Aggregate Fluctuations," Econometrica, Econometric Society, vol. 79(3), pages 733-772, May.
    5. Nicky Zachariou & Paul Expert & Misako Takayasu & Kim Christensen, 2015. "Generalised Sandpile Dynamics on Artificial and Real-World Directed Networks," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-13, November.
    6. Ward Romp & Jakob De Haan, 2007. "Public Capital and Economic Growth: A Critical Survey," Perspektiven der Wirtschaftspolitik, Verein für Socialpolitik, vol. 8(S1), pages 6-52, April.
    7. Yang-Yu Liu & Jean-Jacques Slotine & Albert-László Barabási, 2011. "Controllability of complex networks," Nature, Nature, vol. 473(7346), pages 167-173, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Inoue, Hiroyasu & Todo, Yasuyuki, 2017. "Firm-level simulation of supply chain disruption triggered by actual and predicted earthquakes," MPRA Paper 82920, University Library of Munich, Germany, revised 22 Feb 2017.
    2. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hiroyasu Inoue, 2015. "Analyses of Aggregate Fluctuations of Firm Network Based on the Self-Organized Criticality Model," Papers 1512.05066, arXiv.org, revised Apr 2016.
    2. Hiroyasu Inoue, 2016. "Analyses of aggregate fluctuations of firm production network based on the self-organized criticality model," Evolutionary and Institutional Economics Review, Springer, vol. 13(2), pages 383-396, December.
    3. Hiroyasu Inoue, 2017. "Controllability analyses of nation-wide firm networks," Evolutionary and Institutional Economics Review, Springer, vol. 14(2), pages 335-349, December.
    4. Daron Acemoglu & Asuman Ozdaglar & Alireza Tahbaz-Salehi, 2015. "Networks, Shocks, and Systemic Risk," NBER Working Papers 20931, National Bureau of Economic Research, Inc.
    5. Nirei, Makoto, 2015. "An interaction-based foundation of aggregate investment fluctuations," Theoretical Economics, Econometric Society, vol. 10(3), September.
    6. Mandel, Antoine & Landini, Simone & Gallegati, Mauro & Gintis, Herbert, 2015. "Price dynamics, financial fragility and aggregate volatility," Journal of Economic Dynamics and Control, Elsevier, vol. 51(C), pages 257-277.
    7. Gualdi, Stanislao & Mandel, Antoine, 2016. "On the emergence of scale-free production networks," Journal of Economic Dynamics and Control, Elsevier, vol. 73(C), pages 61-77.
    8. Charles D. Brummitt & Kenan Huremović & Paolo Pin & Matthew H. Bonds & Fernando Vega-Redondo, 2017. "Contagious disruptions and complexity traps in economic development," Nature Human Behaviour, Nature, vol. 1(9), pages 665-672, September.
    9. Michal FABINGER & SHIBUYA Yoko & TANIGUCHI Mina, 2017. "International Influences on Japanese Supply Chains," Discussion papers 17022, Research Institute of Economy, Trade and Industry (RIETI).
    10. Emmanuel Dhyne & Ayumu Ken Kikkawa & Glenn Magerman, 2022. "Imperfect Competition in Firm-to-Firm Trade," Journal of the European Economic Association, European Economic Association, vol. 20(5), pages 1933-1970.
    11. Inoue, Hiroyasu & Todo, Yasuyuki, 2017. "Firm-level simulation of supply chain disruption triggered by actual and predicted earthquakes," MPRA Paper 82920, University Library of Munich, Germany, revised 22 Feb 2017.
    12. Mandel, Antoine & Veetil, Vipin P., 2021. "Monetary dynamics in a network economy," Journal of Economic Dynamics and Control, Elsevier, vol. 125(C).
    13. Hiroyasu Inoue, 2016. "Controllability Analyses on Firm Networks Based on Comprehensive Data," Papers 1604.01322, arXiv.org.
    14. Everett Grant & Julieta Yung, 2017. "The Double-Edged Sword of Global Integration: Robustness, Fragility & Contagion in the International Firm Network," Globalization Institute Working Papers 313, Federal Reserve Bank of Dallas.
    15. Saki Bigio & Jennifer La’O, 2020. "Distortions in Production Networks," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(4), pages 2187-2253.
    16. Fessina, Massimiliano & Zaccaria, Andrea & Cimini, Giulio & Squartini, Tiziano, 2024. "Pattern-detection in the global automotive industry: A manufacturer-supplier-product network analysis," Chaos, Solitons & Fractals, Elsevier, vol. 181(C).
    17. Roberto Roson & Martina Sartori, 2016. "Input--output linkages and the propagation of domestic productivity shocks: assessing alternative theories with stochastic simulation," Economic Systems Research, Taylor & Francis Journals, vol. 28(1), pages 38-54, March.
    18. Vipin P. Veetil & Lawrence H. White, 2017. "Towards a New Austrian Macroeconomics," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 30(1), pages 19-38, March.
    19. Makoto Nirei, 2013. "Interaction-based Foundation of Aggregate Investment Shocks," 2013 Meeting Papers 128, Society for Economic Dynamics.
    20. Makoto Nirei & Jose Scheinkman, 2019. "Self-Organization of Inflation Volatility," 2019 Meeting Papers 1451, Society for Economic Dynamics.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eti:dpaper:16044. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: TANIMOTO, Toko (email available below). General contact details of provider: https://edirc.repec.org/data/rietijp.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.