IDEAS home Printed from https://ideas.repec.org/a/spr/eaiere/v13y2016i2d10.1007_s40844-016-0052-3.html
   My bibliography  Save this article

Analyses of aggregate fluctuations of firm production network based on the self-organized criticality model

Author

Listed:
  • Hiroyasu Inoue

    (University of Hyogo)

Abstract

This study examines how consecutive productions in firms occur when triggered by demand shocks, which can be rephrased by control of the economy or fiscal policy. We use the production-inventory model and observed data that exhaustively include a production network of Japanese firms. We obtain the following results. (1) The size of consecutive productions follows a power law. (2) The mean sizes of consecutive productions for industries are diverse; however, their standard deviations are sufficiently large that the difference in the mean become less important. (3) We compare the simulation with an input–output table and with the actual policies; they are compatible.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:eaiere:v:13:y:2016:i:2:d:10.1007_s40844-016-0052-3
    DOI: 10.1007/s40844-016-0052-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40844-016-0052-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s40844-016-0052-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. Xavier Gabaix, 2011. "The Granular Origins of Aggregate Fluctuations," Econometrica, Econometric Society, vol. 79(3), pages 733-772, May.
    3. 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.
    4. Y. Fujiwara & H. Aoyama, 2010. "Large-scale structure of a nation-wide production network," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 77(4), pages 565-580, October.
    5. 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.
    6. 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.
    7. 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.
    8. Takaaki Ohnishi & Hideki Takayasu & Misako Takayasu, 2010. "Network motifs in an inter-firm network," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 5(2), pages 171-180, December.
    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. 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).
    2. 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.
    3. 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).
    4. 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.
    5. 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.
    6. Hiroyasu Inoue, 2017. "Controllability analyses of nation-wide firm networks," Evolutionary and Institutional Economics Review, Springer, vol. 14(2), pages 335-349, December.
    7. 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.
    8. Lafond, François & Astudillo-Estévez, Pablo & Bacilieri, Andrea & Borsos, András, 2023. "Firm-level production networks: what do we (really) know?," INET Oxford Working Papers 2023-08, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    9. 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.
    10. 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.
    11. Michal FABINGER & SHIBUYA Yoko & TANIGUCHI Mina, 2017. "International Influences on Japanese Supply Chains," Discussion papers 17022, Research Institute of Economy, Trade and Industry (RIETI).
    12. Kumar, Ashish & Chakrabarti, Anindya S. & Chakraborti, Anirban & Nandi, Tushar, 2021. "Distress propagation on production networks: Coarse-graining and modularity of linkages," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 568(C).
    13. 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.
    14. Mandel, Antoine & Veetil, Vipin P., 2021. "Monetary dynamics in a network economy," Journal of Economic Dynamics and Control, Elsevier, vol. 125(C).
    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. Makoto Nirei, 2013. "Interaction-based Foundation of Aggregate Investment Shocks," 2013 Meeting Papers 128, Society for Economic Dynamics.
    17. Vasco M. Carvalho, 2014. "From Micro to Macro via Production Networks," Journal of Economic Perspectives, American Economic Association, vol. 28(4), pages 23-48, Fall.
    18. Takayuki Mizuno & Wataru Souma & Tsutomu Watanabe, 2014. "Buyer-Supplier Networks and Aggregate Volatility," CARF F-Series CARF-F-353, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    19. Yoshiyuki Arata, 2017. "Endogenous business cycles caused by nonconvex costs and interactions," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(2), pages 367-391, July.
    20. Leonidov, Andrey & Serebryannikova, Ekaterina, 2019. "Dynamical topology of highly aggregated input–output networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 518(C), pages 234-252.

    More about this item

    Keywords

    Aggregate fluctuation; Demand; Network; Firm; Production; Inventory;
    All these keywords.

    JEL classification:

    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • H32 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - Firm
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

    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:spr:eaiere:v:13:y:2016:i:2:d:10.1007_s40844-016-0052-3. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.