TY - JOUR

T1 - Innovation across cities

AU - Soo, Kwok Tong

N1 - 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.

PY - 2018/3

Y1 - 2018/3

N2 - 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.

AB - 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.

KW - Patents

KW - Zipf's Law

KW - transition probability

KW - dynamic panel data

KW - Local linear estimator

U2 - 10.1111/jors.12352

DO - 10.1111/jors.12352

M3 - Journal article

VL - 58

SP - 295

EP - 314

JO - Journal of Regional Science

JF - Journal of Regional Science

SN - 0022-4146

IS - 2

ER -