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Industrial Cluster Policy and Transaction Networks: Evidence from firm-level data in Japan

Author

Listed:
  • Toshihiro OKUBO
  • Tetsuji OKAZAKI
  • Eiichi TOMIURA

Abstract

Cluster policy is designed to facilitate inter-firm networking. We examine industrial clusters in Japan based on firm-level transaction data. Firms in clusters expand transaction networks at higher speeds, but do so significantly only with firms agglomerated in Tokyo and not with local firms within the same region. By disaggregating firms according to their main bank types, we find that cluster firms expanding networks are mainly financed by regional banks and not by banks with nationwide operations. This suggests the importance of intensive relationships with main banks for inter-firm network formation.

Suggested Citation

  • Toshihiro OKUBO & Tetsuji OKAZAKI & Eiichi TOMIURA, 2016. "Industrial Cluster Policy and Transaction Networks: Evidence from firm-level data in Japan," Discussion papers 16071, Research Institute of Economy, Trade and Industry (RIETI).
    • Handle: RePEc:eti:dpaper:16071
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    Citations

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    Cited by:

    1. Kohei Takahashi & Yuki Hashimoto, 2023. "Small grant subsidy application effects on productivity improvement: evidence from Japanese SMEs," Small Business Economics, Springer, vol. 60(4), pages 1631-1658, April.
    2. Takano, Keisuke & Okamuro, Hiroyuki, 2019. "Local R&D support as a driver of network diversification? A comparative evaluation of innovation policies in neighboring prefectures in Japan," TDB-CAREE Discussion Paper Series E-2019-02, Teikoku Databank Center for Advanced Empirical Research on Enterprise and Economy, Graduate School of Economics, Hitotsubashi University.
    3. Hiroyuki Okamuro & Junichi Nishimura, 2020. "What Shapes Local Innovation Policies? Empirical Evidence from Japanese Cities," Administrative Sciences, MDPI, vol. 10(1), pages 1-22, February.
    4. HARA, Yasushi, 2025. "Customer Concentration and SME Survival : The Role of Network Structure and Dynamic Adaptation," TDB-CAREE Discussion Paper Series E-2025-02, Teikoku Databank Center for Advanced Empirical Research on Enterprise and Economy, Graduate School of Economics, Hitotsubashi University.
    5. Hiroyuki Okamuro & Junichi Nishimura, 2021. "Effects of multilevel policy mix of public R&D subsidies: Empirical evidence from Japanese local SMEs [The Impact of R&D Subsidies on R&D Employment Composition]," Science and Public Policy, Oxford University Press, vol. 48(6), pages 829-840.
    6. Yuki HASHIMOTO & Kohei TAKAHASHI, 2021. "Are Applying for and Receiving Subsidy Worth for Small Enterprises? Evidence from the Government Support Program in Japan," Discussion papers 21039, Research Institute of Economy, Trade and Industry (RIETI).
    7. Okamuro, Hiroyuki & Nishimura, Junichi, 2018. "Whose business is your project? A comparative study of different subsidy policy schemes for collaborative R&D," Technological Forecasting and Social Change, Elsevier, vol. 127(C), pages 85-96.
    8. Zheng, Wenbo, 2023. "Land supply and industrial agglomeration: Extension of the new economic geography model with land elements incorporated," Land Use Policy, Elsevier, vol. 132(C).

    More about this item

    JEL classification:

    • O25 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Industrial Policy
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R38 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Government Policy
    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy

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