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Innovation across cities

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  • Kwok Tong Soo

Abstract

This paper examines the distribution of patenting activity across cities in the OECD, using a sample of 218 cities from 2000 to 2008. We obtain three main results. First, patenting activity is more concentrated than population and GDP. Second, patenting activity is less persistent than population and GDP, especially in the middle of the distribution. Third, in a parametric model, patenting does not exhibit mean†reversion, and is positively associated with GDP and population density. Our results suggest that policymakers can influence the amount of innovative activity through the use of appropriate policies.

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  • Kwok Tong Soo, 2018. "Innovation across cities," Journal of Regional Science, Wiley Blackwell, vol. 58(2), pages 295-314, March.
    • Handle: RePEc:bla:jregsc:v:58:y:2018:i:2:p:295-314
    DOI: 10.1111/jors.12352
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    Cited by:

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    2. Arnab Bhattacharjee & Ornella Maietta & Fernanda Mazzotta, 2023. "Spatial agglomeration, innovation and firm survival for Italian manufacturing firms," Spatial Economic Analysis, Taylor & Francis Journals, vol. 18(3), pages 318-345, July.
    3. Meiqi Jiao & Debin Du & Wentian Shi & Chunguang Hou & Qinchang Gui, 2021. "Dynamic Absorptive Capability and Innovation Performance: Evidence from Chinese Cities," Sustainability, MDPI, vol. 13(20), pages 1-20, October.

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    More about this item

    JEL classification:

    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights

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