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Cited by 622

The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.

Are Chinese Cities Too Small?

Au, Chun-Chung, Henderson, J. Vernon·2006·The Review of Economic Studies

Abstract

This paper models and estimates net urban agglomeration economies for cities. Economic models of cities postulate an inverted U shape of real income per worker against city employment, where the inverted U shifts with industrial composition across the urban hierarchy of cities. This relationship has never been estimated, in part because of data requirements. China has the necessary data and context. We find that urban agglomeration benefits are high—real incomes per worker rise sharply with increases in city size from a low level. They level out nearer the peak and then decline very slowly past the peak. We find that a large fraction of cities in China are undersized due to nationally imposed, strong migration restrictions, resulting in large income losses.

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Crossref · 10.1111/j.1467-937x.2006.00387.x

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Metadata

Authors
Au, C.-C., & Henderson, J. V.
Venue
The Review of Economic Studies
Published
2006-07
Volume
73
Issue
3
Pages
549-576
ISSN
  • 0034-6527 (ISSN-L)
  • 1467-937X
OpenAlex
W2058391109
Cited by
622
References
22
FWCI
37.43
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Are Chinese Cities Too Small? https://app.cochat.ai/papers/10.1111/j.1467-937x.2006.00387.x
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Au, C.-C., & Henderson, J. V. (2006). Are Chinese Cities Too Small? The Review of Economic Studies. https://doi.org/10.1111/j.1467-937x.2006.00387.x

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.