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The Geography of Knowledge Relatedness and Technological Diversification in U.S. Cities

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  • David Rigby

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    Abstract

    U.S. patent data and patent citations are used to build a measure of knowledge relatedness between all pairs of 438 major patent classes in the USPTO. The knowledge relatedness measures, constructed as the probability that a patent in class j will cite a patent in class i, form the links of a patent network. Changes in this U.S. knowledge network are examined for the period 1975 to 2005. Combining the knowledge network with patent data for each of the CBSAs in the United States permits analysis of the evolution of the patent knowledge base within metropolitan areas. Measures of knowledge relatedness are employed to explain technological diversification and abandonment in U.S. cities.

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    File URL: http://econ.geo.uu.nl/peeg/peeg1218.pdf
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    Paper provided by Utrecht University, Section of Economic Geography in its series Papers in Evolutionary Economic Geography (PEEG) with number 1218.

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    Length: 33 pages
    Date of creation: Oct 2012
    Date of revision: Oct 2012
    Handle: RePEc:egu:wpaper:1218
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    Keywords: knowledge relatedness; technological diversification; patents; citations;

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    Cited by:

    1. Matthias Firgo & Peter Mayerhofer, 2015. "Wissens-Spillovers und regionale Entwicklung - welche strukturpolitische Ausrichtung optimiert des Wachstum?," Working Paper Reihe der AK Wien - Materialien zu Wirtschaft und Gesellschaft 144, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik.
    2. Ron Boschma & Pierre-Alexandre Balland & Dieter Franz Kogler, 2015. "Relatedness and technological change in cities: the rise and fall of technological knowledge in US metropolitan areas from 1981 to 2010," Industrial and Corporate Change, Oxford University Press, vol. 24(1), pages 223-250.
    3. Luciana Lazzeretti & Niccolò Innocenti & Francesco Capone, 2015. "Does Related variety matter for Creative Industries?," Papers in Evolutionary Economic Geography (PEEG) 1510, Utrecht University, Section of Economic Geography, revised May 2015.

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