The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Modeling the Drivers of Urban Land Use Change in the Pearl River Delta, China: Integrating Remote Sensing with Socioeconomic Data
Abstract
This paper estimates econometric models of the socioeconomic drivers of urban land use change in the Pearl River Delta, China. The panel data used to estimate the models are generated by combining high-resolution remote sensing data with economic and demographic data from annual compendium. The relations between variables are estimated using a random coefficient model. Results indicate that urban expansion is associated with foreign direct investment and relative rates of productivity generated by land associated with agricultural and urban uses. This suggests that large-scale investments in industrial development, rather than local land users, play the major role in urban land conversion. (JEL R14)
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.
Integrity signals
Registry
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.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Investigating causal relations by econometric models and cross-spectral methods
Granger, C. W. J. (1969) · Econometrica · doi:10.2307/1912791 · Cited by 22,989
Hsiao, C. (2014) · doi:10.1017/cbo9781139839327 · Cited by 7,869
‘Roads, land use, and deforestation: a spatial model applied to Belize’
Chomitz, K. M., & Gray, D. A. (1996) · The World Bank Economic Review · doi:10.1093/wber/10.3.487 · Cited by 729
Cited by
Hu, X., & Xu, H. (2018) · Ecological Indicators · doi:10.1016/j.ecolind.2018.02.006 · Cited by 533
Climate Response to Rapid Urban Growth: Evidence of a Human-Induced Precipitation Deficit
Kaufmann, R. K., Seto, K. C., Schneider, A., Liu, Z., Zhou, L., & Wang, W. (2007) · Journal of Climate · doi:10.1175/jcli4109.1 · Cited by 334
Self-citation
Metadata
- Authors
- Seto, K. C., & Kaufmann, R. K.
- Venue
- Land Economics
- Publisher
- University of Wisconsin Press
- Published
- 2003-02
- Volume
- 79
- Issue
- 1
- Pages
- 106-121
- ISSN
- 0023-7639 (ISSN-L)
- 1543-8325
- OpenAlex
- W1781101400
- Cited by
- 448
- References
- 3
- FWCI
- 7.27
- Type
- journal article
- Language
- en
- Open access
- closed
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: Modeling the Drivers of Urban Land Use Change in the Pearl River Delta, China: Integrating Remote Sensing with Socioeconomic Data. https://app.cochat.ai/papers/10.2307/3147108
- The paper
- Seto, K. C., & Kaufmann, R. K. (2003). Modeling the Drivers of Urban Land Use Change in the Pearl River Delta, China: Integrating Remote Sensing with Socioeconomic Data. Land Economics. https://doi.org/10.2307/3147108
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.
