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Hierarchical communities in the walnut structure of the Japanese production network

Author

Listed:
  • Abhijit Chakraborty
  • Yuichi Kichikawa
  • Takashi Iino
  • Hiroshi Iyetomi
  • Hiroyasu Inoue
  • Yoshi Fujiwara
  • Hideaki Aoyama

Abstract

This paper studies the structure of the Japanese production network, which includes one million firms and five million supplier-customer links. This study finds that this network forms a tightly-knit structure with a core giant strongly connected component (GSCC) surrounded by IN and OUT components constituting two half-shells of the GSCC, which we call awalnut structure because of its shape. The hierarchical structure of the communities is studied by the Infomap method, and most of the irreducible communities are found to be at the second level. The composition of some of the major communities, including overexpressions regarding their industrial or regional nature, and the connections that exist between the communities are studied in detail. The findings obtained here cause us to question the validity and accuracy of using the conventional input-output analysis, which is expected to be useful when firms in the same sectors are highly connected to each other.

Suggested Citation

  • Abhijit Chakraborty & Yuichi Kichikawa & Takashi Iino & Hiroshi Iyetomi & Hiroyasu Inoue & Yoshi Fujiwara & Hideaki Aoyama, 2018. "Hierarchical communities in the walnut structure of the Japanese production network," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-25, August.
    • Handle: RePEc:plo:pone00:0202739
    DOI: 10.1371/journal.pone.0202739
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    12. Hazem KRICHENE & Yoshiyuki ARATA & Abhijit CHAKRABORTY & Yoshi FUJIWARA & Hiroyasu INOUE, 2018. "How Firms Choose their Partners in the Japanese Supplier-Customer Network? An application of the exponential random graph model," Discussion papers 18011, Research Institute of Economy, Trade and Industry (RIETI).
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    Cited by:

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    2. Yuji Fujita & Yoshi Fujiwara & Wataru Souma, 2019. "Macroscopic features of production network and sequential graph drawing," Evolutionary and Institutional Economics Review, Springer, vol. 16(1), pages 183-199, June.
    3. Di Guilmi, Corrado & Fujiwara, Yoshi, 2025. "Does the supply network shape the firm size distribution? The Japanese case," Economic Modelling, Elsevier, vol. 152(C).
    4. Abhijit Chakraborty & Hiroyasu Inoue & Yoshi Fujiwara, 2020. "Economic complexity of prefectures in Japan," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-13, August.
    5. Abhijit Chakraborty & Yuichi Kichikawa & Takashi Iino & Hiroshi Iyetomi & Hiroyasu Inoue & Yoshi Fujiwara & Hideaki Aoyama, 2018. "Hierarchical communities in the walnut structure of the Japanese production network," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-25, August.
    6. Yoshi FUJIWARA & Hiroyasu INOUE & Takayuki YAMAGUCHI & Hideaki AOYAMA & Takuma TANAKA & Kentaro KIKUCHI, 2021. "Money Flow Network Among Firms' Accounts in a Regional Bank of Japan," Discussion papers 21005, Research Institute of Economy, Trade and Industry (RIETI).
    7. Matthias Raddant & Hiroshi Takahashi, 2022. "Corporate boards, interorganizational ties and profitability: the case of Japan," Empirical Economics, Springer, vol. 62(3), pages 1365-1406, March.
    8. Yoshi Fujiwara & Hiroyasu Inoue & Takayuki Yamaguchi & Hideaki Aoyama & Takuma Tanaka, 2020. "Money flow network among firms' accounts in a regional bank of Japan," Papers 2007.14630, arXiv.org, revised Jul 2020.
    9. Hiromitsu Goto & Wataru Souma & Mari Jibu & Yuichi Ikeda, 2020. "Multilayer Network Analysis of the Drug Pipeline in the Global Pharmaceutical Industry," Papers 2003.04620, arXiv.org.
    10. 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).
    11. Yuichi KICHIKAWA & Takashi IINO & Hiroshi IYETOMI & Hiroyasu INOUE, 2019. "Hierarchical and Circular Flow Structure of the Interfirm Transaction Network in Japan," Discussion papers 19063, Research Institute of Economy, Trade and Industry (RIETI).
    12. Hideaki Aoyama, 2021. "XRP Network and Proposal of Flow Index," Papers 2106.10012, arXiv.org.
    13. C'elestin Coquid'e & Leonardo Ermann & Jos'e Lages & D. L. Shepelyansky, 2019. "Influence of petroleum and gas trade on EU economies from the reduced Google matrix analysis of UN COMTRADE data," Papers 1903.01820, arXiv.org.
    14. Yuichi Kichikawa & Takashi Iino & Hiroshi Iyetomi & Hiroyasu Inoue, 2019. "Visualization of a directed network with focus on its hierarchy and circularity," Journal of Computational Social Science, Springer, vol. 2(1), pages 15-23, January.
    15. Abhijit Chakraborty & Hiroyasu Inoue & Yoshi Fujiwara, 2020. "Economic complexity of prefectures in Japan," Papers 2002.05785, arXiv.org, revised Aug 2020.
    16. Daisuke Sato & Yuichi Ikeda & Shuichi Kawai & Maxmilian Schich, 2020. "The sustainability and the survivability of Kyoto’s traditional craft industry revealed from supplier-customer network," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-23, November.
    17. Abhijit Chakraborty & Yuichi Ikeda, 2020. "Bow-tie structure and community identification of global supply chain network," Papers 2003.02343, arXiv.org.
    18. Venera Maratovna Timiryanova, 2019. "Evaluation of Supply Chain Using Hierarchical Analysis," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(3), pages 178-186.
    19. Daisuke SATO & Yuichi IKEDA & Shuichi KAWAI & Maxmilian SCHICH, 2020. "Supply-Chain Network Analysis of Kyoto's Traditional Craft Industry," Discussion papers 20044, Research Institute of Economy, Trade and Industry (RIETI).
    20. C'elestin Coquid'e & Jos'e Lages & Dima L. Shepelyansky, 2023. "Prospects of BRICS currency dominance in international trade," Papers 2305.00585, arXiv.org.

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