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Localization of Knowledge-creating Establishments

Author

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  • Inoue, Hiroyasu
  • Nakajima, Kentaro
  • Saito, Yukiko Umeno

Abstract

This study investigates the localization of establishment-level knowledge creation using data from a Japanese patent database. Using distance-based methods, we obtain the following results. First, Japanese patent-creating establishments are significantly localized at the 5% level, with a localization range of approximately 80 km. Second, localization is observed for all patent technology classes, and the extent of localization has a positive relationship with the level of technology measured by R&D investment. Finally, the extent of localization is stronger for establishments that are more productive in terms of both the number of patents and the number of citations received, i.e., quantitatively and qualitatively. These results indicate that geographical proximity is important for knowledge spillover, particularly for knowledge-demanding establishments.

Suggested Citation

  • Inoue, Hiroyasu & Nakajima, Kentaro & Saito, Yukiko Umeno, 2016. "Localization of Knowledge-creating Establishments," HIT-REFINED Working Paper Series 47, Institute of Economic Research, Hitotsubashi University.
    • Handle: RePEc:hit:remfce:47
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    1. Nakajima, Kentaro & Saito, Yukiko Umeno & Uesugi, Iichiro, 2012. "The Localization of Interfirm Transaction Relationships and Industry Agglomeration," Working Paper Series 17, Center for Interfirm Network, Institute of Economic Research, Hitotsubashi University.
    2. Yasusada Murata & Ryo Nakajima & Ryosuke Okamoto & Ryuichi Tamura, 2014. "Localized Knowledge Spillovers and Patent Citations: A Distance-Based Approach," The Review of Economics and Statistics, MIT Press, vol. 96(5), pages 967-985, December.
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    5. Gilles Duranton & Henry G. Overman, 2005. "Testing for Localization Using Micro-Geographic Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(4), pages 1077-1106.
    6. Hall, B. & Jaffe, A. & Trajtenberg, M., 2001. "The NBER Patent Citations Data File: Lessons, Insights and Methodological Tools," Papers 2001-29, Tel Aviv.
    7. Rosenthal, Stuart S. & Strange, William C., 2001. "The Determinants of Agglomeration," Journal of Urban Economics, Elsevier, vol. 50(2), pages 191-229, September.
    8. Goto, Akira & Motohashi, Kazuyuki, 2007. "Construction of a Japanese Patent Database and a first look at Japanese patenting activities," Research Policy, Elsevier, vol. 36(9), pages 1431-1442, November.
    9. Hiroyasu Inoue & Kentaro Nakajima & Yukiko Umeno Saito, 2019. "Localization of collaborations in knowledge creation," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 62(1), pages 119-140, February.
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    11. Nakajima, Kentaro & Saito, Yukiko Umeno & Uesugi, Iichiro, 2012. "Measuring economic localization: Evidence from Japanese firm-level data," Journal of the Japanese and International Economies, Elsevier, vol. 26(2), pages 201-220.
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    Cited by:

    1. INOUE Hiroyasu & NAKAJIMA Kentaro & SAITO Yukiko, 2015. "Innovation and Collaboration Patterns between Research Establishments," Discussion papers 15049, Research Institute of Economy, Trade and Industry (RIETI).
    2. Hiroyasu Inoue & Kentaro Nakajima & Yukiko Umeno Saito, 2019. "Localization of collaborations in knowledge creation," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 62(1), pages 119-140, February.

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    More about this item

    Keywords

    Knowledge spillover; Agglomeration; Micro-geographic data;
    All these keywords.

    JEL classification:

    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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