Modeling the Drivers of Urban Land Use Change in the Pearl River Delta, China: Integrating Remote Sensing with Socioeconomic Data

Karen C. Seto and Robert Kaufmann

Land Economics, 2003, vol. 79, issue 1, 106-121

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 coef ficient 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-codes: R14 (search for similar items in EconPapers)
Date: 2003
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (71)

Downloads: (external link)
http://le.uwpress.org/cgi/reprint/79/1/106
A subscription is required to access pdf files. Pay per article is available.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:uwp:landec:v:79:y:2003:i:1:p:106-121

Access Statistics for this article

More articles in Land Economics from University of Wisconsin Press
Bibliographic data for series maintained by ().