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Urban scaling laws arise from within-city inequalities

Bibliographic Data

ID4616613
AuthorsMartin Arvidsson (0000-0003-4648-2829, Linköping University, corresponding author), Niclas Lovsjö (0000-0002-7460-5665, Linköping University, corresponding author), M Keuschnigg (0000-0001-5774-1553, Linköping University, corresponding author)
Year2023
Volume7
Issue3
Pages365-374
Publication date2023-01-26
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueNature Human Behaviour (JOURNAL)
Journal identifiersISSN: 2397-3374 • E-ISSN: 2397-3374
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1038/s41562-022-01509-1
PMID36702938
OpenAlexW4318071583
LanguageEN
Citations received27
References cited51

Theories of urban scaling have demonstrated remarkable predictive accuracy at aggregate levels. However, they have overlooked the stark inequalities that exist within cities. Human networking and productivity exhibit heavy-tailed distributions, with some individuals contributing disproportionately to city totals. Here we use micro-level data from Europe and the United States on interconnectivity, productivity and innovation in cities. We find that the tails of within-city distributions and their growth by city size account for 36-80% of previously reported scaling effects, and 56-87% of the variance in scaling between indicators of varying economic complexity. Providing explanatory depth to these findings, we identify a mechanism-city size-dependent cumulative advantage-that constitutes an important channel through which differences in the size of tails emerge. Our findings demonstrate that urban scaling is in large part a story about inequality in cities, implying that the causal processes underlying the heavier tails in larger cities must be considered in explanations of urban scaling. This result also shows that agglomeration effects benefit urban elites the most, with the majority of city dwellers partially excluded from the socio-economic benefits of growing cities

Geometry · Inequality · Mathematical analysis · Political science · Scaling · Scaling law · Sociology · Law · Mathematics · Regional Economics and Spatial Analysis · Spatial and Panel Data Analysis · Urban, Neighborhood, and Segregation Studies

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Unique citing works27
Citations per year9
Citation span2023 - 2026 (4)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 26

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