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Economic complexity of prefectures in Japan

Author

Listed:
  • Abhijit Chakraborty
  • Hiroyasu Inoue
  • Yoshi Fujiwara
Abstract
Every nation prioritizes the inclusive economic growth and development of all regions. However, we observe that economic activities are clustered in space, which results in a disparity in per-capita income among different regions. A complexity-based method was proposed by Hidalgo and Hausmann [PNAS 106, 10570-10575 (2009)] to explain the large gaps in per-capita income across countries. Although there have been extensive studies on countries' economic complexity using international export data, studies on economic complexity at the regional level are relatively less studied. Here, we study the industrial sector complexity of prefectures in Japan based on the basic information of more than one million firms. We aggregate the data as a bipartite network of prefectures and industrial sectors. We decompose the bipartite network as a prefecture-prefecture network and sector-sector network, which reveals the relationships among them. Similarities among the prefectures and among the sectors are measured using a metric. From these similarity matrices, we cluster the prefectures and sectors using the minimal spanning tree technique.The computed economic complexity index from the structure of the bipartite network shows a high correlation with macroeconomic indicators, such as per-capita gross prefectural product and prefectural income per person. We argue that this index reflects the present economic performance and hidden potential of the prefectures for future growth.

Suggested Citation

  • Abhijit Chakraborty & Hiroyasu Inoue & Yoshi Fujiwara, 2020. "Economic complexity of prefectures in Japan," Papers 2002.05785, arXiv.org, revised Aug 2020.
    • Handle: RePEc:arx:papers:2002.05785
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    References listed on IDEAS

    as
    1. 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.
    2. Hausmann, Ricardo & Hidalgo, Cesar, 2014. "The Atlas of Economic Complexity: Mapping Paths to Prosperity," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262525429, April.
    3. Manuel Sebastian Mariani & Alexandre Vidmer & Matus Medo & Yi-Cheng Zhang, 2015. "Measuring economic complexity of countries and products: which metric to use?," Papers 1509.01482, arXiv.org.
    4. Zoran Utkovski & Melanie F Pradier & Viktor Stojkoski & Fernando Perez-Cruz & Ljupco Kocarev, 2018. "Economic complexity unfolded: Interpretable model for the productive structure of economies," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-24, August.
    5. Hazem Krichene & Abhijit Chakraborty & Hiroyasu Inoue & Yoshi Fujiwara, 2017. "Business cycles’ correlation and systemic risk of the Japanese supplier-customer network," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-22, October.
    6. Kemp-Benedict, Eric, 2014. "An interpretation and critique of the Method of Reflections," MPRA Paper 60705, University Library of Munich, Germany.
    7. Chakraborty, Abhijit & Krichene, Hazem & Inoue, Hiroyasu & Fujiwara, Yoshi, 2019. "Characterization of the community structure in a large-scale production network in Japan," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 210-221.
    8. Abhijit Chakraborty & Hazem Krichene & Hiroyasu Inoue & Yoshi Fujiwara, 2019. "Exponential random graph models for the Japanese bipartite network of banks and firms," Journal of Computational Social Science, Springer, vol. 2(1), pages 3-13, January.
    9. Manuel Mariani & Alexandre Vidmer & Matsúš Medo & Yi-Cheng Zhang, 2015. "Measuring economic complexity of countries and products: which metric to use?," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 88(11), pages 1-9, November.
    10. Antonios Garas & Celine Rozenblat & Frank Schweitzer, 2015. "The network structure of city-firm relations," Papers 1512.02859, arXiv.org.
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    Cited by:

    1. Ibrahim Tuğrul Çınar & Ilhan Korkmaz & Tüzin Baycan, 2022. "Regions’ economic fitness and sectoral labor productivity: Evidence from Turkey," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(3), pages 575-598, June.
    2. Gómez-Zaldívar, Manuel & Gómez-Zaldívar, Fernando & Carrillo Ramírez, José Luis, 2024. "Cálculo de los Índices de Complejidad en México: Propuesta para una estimación más periódica y robusta," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 59, pages 213-228.
    3. Huseyin OZTURK & YASUDA Yukihiro, 2021. "We Are Alike: Capital Structure of Japanese SMEs Across Prefectures," Discussion papers 21092, Research Institute of Economy, Trade and Industry (RIETI).

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