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

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)

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Author(s) Karen C. Seto, and Robert K. Kaufmann
Last Updated April 2, 2021, 13:19 (UTC)
Created April 2, 2021, 13:18 (UTC)
Stable Link
Date 2016-02-07
Publishing Body Land Economics
Content Type Publications
Primary Category Demographics & Socioeconomics
Sub Category Socioeconomics
Country Name China
Location-Region/City Pearl River Delta
Location Latitude 22.77035372
Location Longitude 113.6214951
Publishing Organization New Light Technologies