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Defining urban clusters to detect agglomeration economies

Cottineau, C; Finance, O; Hatna, E; Arcaute, E; Batty, M; (2018) Defining urban clusters to detect agglomeration economies. Environment and Planning B: Urban Analytics and City Science , 46 (9) pp. 1611-1626. 10.1177/2399808318755146. Green open access

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Abstract

Agglomeration economies are a persistent subject of debate in regional science and city planning. Their definition turns on whether or not larger cities are more efficient than smaller ones. Here, we complement existing discussions on agglomeration economies by providing a sensitivity analysis of estimated externalities to the definitions of urban agglomeration. We regress wages versus population and jobs over thousands of different definitions of cities in France, based on an algorithmic aggregation of spatial units. We also search for evidence of larger inequalities in larger cities. This paper therefore focuses on the spatial and economic complexity of the mechanisms defining agglomeration within and between cities.

Type: Article
Title: Defining urban clusters to detect agglomeration economies
Open access status: An open access version is available from UCL Discovery
DOI: 10.1177/2399808318755146
Publisher version: https://doi.org/10.1177/2399808318755146
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Agglomeration economies, cities, definition, inequality, scaling
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Centre for Advanced Spatial Analysis
URI: https://discovery.ucl.ac.uk/id/eprint/10063358
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