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Article . 2024 . Peer-reviewed
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Article . 2024 . Peer-reviewed
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Article . 2024 . Peer-reviewed
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Research . 2024
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Identifying Agglomeration Shadows: Long-Run Evidence from Ancient Ports

Authors: Hornbeck, Richard; Michaels, Guy; Rauch, Ferdinand;

Identifying Agglomeration Shadows: Long-Run Evidence from Ancient Ports

Abstract

We examine “agglomeration shadows” that emerge around large cities, which discourage some economic activities in nearby areas. Identifying agglomeration shadows is complicated, however, by endogenous city formation and \wave interference" that we show in simulations. We use the locations of ancient ports near the Mediterranean, which seeded modern cities, to estimate agglomeration shadows cast on nearby areas. We find that empirically, as in the simulations, detectable agglomeration shadows emerge for large cities around ancient ports. These patterns extend to modern city locations more generally, and illustrate how encouraging growth in particular places can discourage growth of nearby areas.

Country
Germany
Keywords

ddc:330, urban hierarchy, R12, agglomeration shadow, 330 Economics, N9, ddc-330, new economic geography, N90

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    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 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
5
Top 10%
Average
Top 10%
Green