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Complex Economic Activities Concentrate in Large Cities

Authors: Pierre-Alexandre Balland; Cristian Jara-Figueroa; Sergio G. Petralia; Mathieu P. A. Steijn; David L. Rigby; César A. Hidalgo;

Complex Economic Activities Concentrate in Large Cities

Abstract

Why do some economic activities agglomerate more than others? And, why does the agglomeration of some economic activities continue to increase despite recent developments in communication and transportation technologies? In this paper, we present evidence that complex economic activities concentrate more in large cities. We find this to be true for technologies, scientific publications, industries, and occupations. Using historical patent data, we show that the urban concentration of complex economic activities has been continuously increasing since 1850. These findings suggest that the increasing urban concentration of jobs and innovation might be a consequence of the growing complexity of the economy.

Country
Netherlands
Keywords

FOS: Computer and information sciences, Physics - Physics and Society, Technology, Social Psychology, Urban Population, Science, Geographic Mapping, FOS: Physical sciences, Experimental and Cognitive Psychology, Physics and Society (physics.soc-ph), Patents as Topic, Behavioral Neuroscience, Taverne, Humans, Cities, [SHS.ECO] Humanities and Social Sciences/Economics and Finance, Social and Information Networks (cs.SI), Urbanization, Computer Science - Social and Information Networks, SDG 10 - Reduced Inequalities, SDG 11 - Sustainable Cities and Communities, United States, Biotechnology

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    397
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 0.1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
397
Top 0.1%
Top 1%
Top 1%
Green
hybrid