Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 588

The DOI matches its Crossref record.

Growth, population and industrialization, and urban land expansion of China

Open access
Deng, Xiangzheng, Huang, Jikun, Rozelle, Scott, Uchida, Emi·2008·Journal of Urban Economics

Abstract

China is experiencing urbanization at an unprecedented rate over the last two decades. The overall goal of this paper is to understand the extent of and the factors driving urban expansion in China from the late 1980s to 2000. We use a unique three-period panel data set of high-resolution satellite imagery data and socioeconomic data for entire area of coterminous China. Consistent with a number of the key hypotheses generated by the monocentric model, our results demonstrate the powerful role that the growth of income has played in China's urban expansion. In some empirical models, the other key variables in the monocentric model--population, the value of agricultural land and transportation costs--also matter. Adapting the basic empirical model to account for the environment in developing countries, we also find that industrialization and the rise of the service sector appear to have affected the growth of the urban core, but their role was relatively small when compared to the direct effects of economic growth. We also make a methodological contribution, demonstrating the potential importance of accounting for unobserved fixed effects.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.jue.2006.12.006

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Metadata

Authors
Deng, X., Huang, J., Rozelle, S., & Uchida, E.
Venue
Journal of Urban Economics
Publisher
Elsevier BV
Published
2008-01
Volume
63
Issue
1
Pages
96-115
ISSN
0094-1190 (ISSN-L)
OpenAlex
W1986261119
Cited by
588
References
0
FWCI
26.67
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Growth, population and industrialization, and urban land expansion of China. https://app.cochat.ai/papers/10.1016/j.jue.2006.12.006
The paper
Deng, X., Huang, J., Rozelle, S., & Uchida, E. (2008). Growth, population and industrialization, and urban land expansion of China. Journal of Urban Economics. https://doi.org/10.1016/j.jue.2006.12.006

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.