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Localized knowledge spillovers and patent citations: A distance-based approach

Author

Listed:
  • Yasusada Murata

    (Advanced Research Institute for the Sciences and Humanities, Nihon University)

  • Ryo Nakajima

    (Department of Economics, Yokohama National University)

  • Ryosuke Okamoto

    (National Graduate Institute for Policy Studies)

  • Ryuichi Tamura

    (Graduate School of Humanities and Social Sciences, University of Tsukuba)

Abstract

The existence of localized knowledge spillovers found by Jaffe, Trajtenberg and Henderson (1993) has recently been challenged by Thompson and Fox-Kean (2005). To settle this debate, we develop a new approach by incorporating their concepts of control patents into the distance-based test of localization (Duranton and Overman, 2005). Using microgeographic data, we identify localization distance for each technology class while allowing for cross-boundary spillovers, unlike the existing literature where localization is detected at the state or metropolitan statistical area level. We find solid evidence supporting localized knowledge spillovers even when finer controls are used. We further relax the commonly made assumption of perfect controls, and show that the majority of technology classes exhibit localization unless hidden biases induced by imperfect controls are extremely large.

Suggested Citation

  • Yasusada Murata & Ryo Nakajima & Ryosuke Okamoto & Ryuichi Tamura, 2011. "Localized knowledge spillovers and patent citations: A distance-based approach," GRIPS Discussion Papers 11-11, National Graduate Institute for Policy Studies.
    • Handle: RePEc:ngi:dpaper:11-11
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    References listed on IDEAS

    as
    1. William R. Kerr & Scott Duke Kominers, 2015. "Agglomerative Forces and Cluster Shapes," The Review of Economics and Statistics, MIT Press, vol. 97(4), pages 877-899, October.
    2. Combes, Pierre-Philippe & Duranton, Gilles, 2006. "Labour pooling, labour poaching, and spatial clustering," Regional Science and Urban Economics, Elsevier, vol. 36(1), pages 1-28, January.
    3. Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2005. "Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 151-184, February.
    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. Ajay Agrawal & Iain Cockburn & Carlos Rosell, 2010. "Not Invented Here? Innovation in Company Towns," NBER Chapters,in: Cities and Entrepreneurship National Bureau of Economic Research, Inc.
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    10. Agrawal, Ajay & Kapur, Devesh & McHale, John, 2008. "How do spatial and social proximity influence knowledge flows? Evidence from patent data," Journal of Urban Economics, Elsevier, vol. 64(2), pages 258-269, September.
    11. Peter Thompson & Melanie Fox-Kean, 2005. "Patent Citations and the Geography of Knowledge Spillovers: A Reassessment: Reply," American Economic Review, American Economic Association, vol. 95(1), pages 465-466, March.
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    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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