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Localization of Knowledge-creating Establishments

Author

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  • INOUE Hiroyasu
  • NAKAJIMA Kentaro
  • SAITO Yukiko

Abstract

This study investigates the localization of establishment-level knowledge creation by using data from the Japanese patent database. Using distance-based methods, we obtained the following results. First, Japanese patent-creating establishments are significantly localized at the 5% level, with the range of localization at approximately 80 km. Second, localization was found for all patent technology classes, while the extent of localization differs among the classes. Third, the extent of localization is stronger in more creative establishments, in terms of both the number of patents created and the number of citations. These results suggest that geographical proximity is important for knowledge spillover regardless of the concerned technology and that creative establishments require external knowledge.

Suggested Citation

  • INOUE Hiroyasu & NAKAJIMA Kentaro & SAITO Yukiko, 2014. "Localization of Knowledge-creating Establishments," Discussion papers 14053, Research Institute of Economy, Trade and Industry (RIETI).
    • Handle: RePEc:eti:dpaper:14053
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    References listed on IDEAS

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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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    4. Adam B. Jaffe & Manuel Trajtenberg & Rebecca Henderson, 1993. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," The Quarterly Journal of Economics, Oxford University Press, vol. 108(3), pages 577-598.
    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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    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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