Relatedness, Complexity and Local Growth

39 Pages Posted: 21 May 2019 Last revised: 19 May 2022

See all articles by David C. Maré

David C. Maré

Motu Economic and Public Policy Research Trust; University of Waikato - Economics

Benjamin Davies

University of Waikato; IZA

Multiple version iconThere are 2 versions of this paper

Abstract

We derive a measure of the relatedness between economic activities based on weighted correlations of local employment shares, and use this measure to estimate city and activity complexity. Our approach extends discrete measures used in previous studies by recognising the extent of activities' local over-representation and by adjusting for differences in signal quality between geographic areas with different sizes. We examine the contribution of relatedness and complexity to urban employment growth, using 1981–2013 census data from New Zealand. Complex activities experienced faster employment growth during our period of study, especially in complex cities. However, this growth was not significantly stronger in cities more dense with related activities. Relatedness and complexity appear to be most relevant for analysing how large, complex cities grow, and are less informative for understanding employment dynamics in small, less complex cities.

Keywords: complexity, smart specialisation, relatedness

JEL Classification: R11, R12

Suggested Citation

Maré, David C. and Davies, Benjamin, Relatedness, Complexity and Local Growth. IZA Discussion Paper No. 12223, Available at SSRN: https://ssrn.com/abstract=3390212

David C. Maré (Contact Author)

Motu Economic and Public Policy Research Trust ( email )

PO Box 24390
Wellington, 6021
New Zealand
64-4-9394250 (Phone)

HOME PAGE: http://www.motu.org.nz

University of Waikato - Economics

New Zealand

Benjamin Davies

University of Waikato

Te Raupapa
Private Bag 3105
Hamilton, Waikato 3240
New Zealand

IZA

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
67
Abstract Views
666
Rank
491,005
PlumX Metrics