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?
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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Citations
Cites
MONOPOLISTIC COMPETITION AND OPTIMUM PRODUCT DIVERSITY
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Fujita, M., Krugman, P., & Venables, A. J. (1999) · doi:10.7551/mitpress/6389.001.0001 · Cited by 4,788
Chapter 49 Evidence on the nature and sources of agglomeration economies
Rosenthal, S. S., & Strange, W. C. (2004) · Handbook of Regional and Urban Economics · doi:10.1016/s1574-0080(04)80006-3 · Cited by 2,226
Micro-Foundations of Urban Agglomeration Economies
Duranton, G., & Puga, D. (2003) · National Bureau of Economic Research · doi:10.3386/w9931 · Cited by 1,663
Handbook of Regional and Urban Economics
Ioannides, Y. M. (2003) · Regional Science and Urban Economics · doi:10.1016/s0166-0462(02)00056-x · Cited by 1,528
Nursery Cities: Urban Diversity, Process Innovation, and the Life Cycle of Products
Duranton, G., & Puga, D. (2001) · American Economic Review · doi:10.1257/aer.91.5.1454 · Cited by 1,509
Innovation and spillovers in regions: Evidence from European patent data
Bottazzi, L., & Peri, G. (2003) · European Economic Review · doi:10.1016/s0014-2921(02)00307-0 · Cited by 977
The Sizes and Types of CitiesPreprint
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Self-citationMultiple equilibria and structural transition of non-monocentric urban configurations
Fujita, M., & Ogawa, H. (1982) · Regional Science and Urban Economics · doi:10.1016/0166-0462(82)90031-x · Cited by 945
Market potential, increasing returns and geographic concentration
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Cited by
Measuring Economic Growth from Outer Space
Henderson, J. V., Storeygard, A., & Weil, D. N. (2012) · American Economic Review · doi:10.1257/aer.102.2.994 · Cited by 2,596
Self-citationThe economic impact of Special Economic Zones: Evidence from Chinese municipalities
Wang, J. (2013) · Journal of Development Economics · doi:10.1016/j.jdeveco.2012.10.009 · Cited by 880
Understanding China's Urban Pollution Dynamics
Zheng, S., & Kahn, M. E. (2013) · Journal of Economic Literature · doi:10.1257/jel.51.3.731 · Cited by 375
‘No county left behind?’ The distributional impact of high-speed rail upgrades in China
Qin, Y. (2016) · Journal of Economic Geography · doi:10.1093/jeg/lbw013 · Cited by 371
The identification of agglomeration economies
Combes, P.-P., Duranton, G., & Gobillon, L. (2011) · Journal of Economic Geography · doi:10.1093/jeg/lbq038 · Cited by 341
Metadata
- Authors
- Au, C.-C., & Henderson, J. V.
- Venue
- The Review of Economic Studies
- Publisher
- Oxford University Press (OUP)
- 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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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.