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  • Innovation 2016 JRS Final

    Rights statement: This is the peer reviewed version of the following article:Soo KT. Innovation across cities. J Regional Sci. 2018;58:295–314. https://doi.org/10.1111/jors.12352 which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1111/jors.12352/abstract This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.

    Accepted author manuscript, 375 KB, PDF document

    Available under license: CC BY: Creative Commons Attribution 4.0 International License

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Innovation across cities

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Published
<mark>Journal publication date</mark>03/2018
<mark>Journal</mark>Journal of Regional Science
Issue number2
Volume58
Number of pages20
Pages (from-to)295-314
Publication StatusPublished
Early online date9/08/17
<mark>Original language</mark>English

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.

Bibliographic note

This is the peer reviewed version of the following article:Soo KT. Innovation across cities. J Regional Sci. 2018;58:295–314. https://doi.org/10.1111/jors.12352 which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1111/jors.12352/abstract This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.