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Cited by 750

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Roads, Railroads, and Decentralization of Chinese Cities

Open access
Baum-Snow, Nathaniel, Brandt, Loren, Henderson, J. Vernon, Turner, Matthew A., Zhang, Qinghua·2017·The Review of Economics and Statistics

Abstract

We investigate how urban railroad and highway configurations have influenced urban form in Chinese cities since 1990. Each radial highway displaces 4% of central city population to surrounding regions, and ring roads displace about an additional 20%, with stronger effects in the richer coastal and central regions. Each radial railroad reduces central city industrial GDP by about 20%, with ring roads displacing an additional 50%. We provide evidence that radial highways decentralize service sector activity, radial railroads decentralize industrial activity, and ring roads decentralize both. Historical transportation infrastructure provides identifying variation in more recent measures of infrastructure.

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Crossref · 10.1162/rest_a_00660

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Metadata

Authors
Baum-Snow, N., Brandt, L., Henderson, J. V., Turner, M. A., & Zhang, Q.
Venue
The Review of Economics and Statistics
Published
2017-07
Volume
99
Issue
3
Pages
435-448
ISSN
  • 0034-6535 (ISSN-L)
  • 1530-9142
OpenAlex
W2168707163
Cited by
750
References
2
FWCI
80.57
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Roads, Railroads, and Decentralization of Chinese Cities. https://app.cochat.ai/papers/10.1162/rest_a_00660
The paper
Baum-Snow, N., Brandt, L., Henderson, J. V., Turner, M. A., & Zhang, Q. (2017). Roads, Railroads, and Decentralization of Chinese Cities. The Review of Economics and Statistics. https://doi.org/10.1162/rest_a_00660

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.