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

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  • Karen C. Seto
  • Robert K. Kaufmann

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.

Suggested Citation

  • Karen C. Seto & Robert K. Kaufmann, 2003. "Modeling the Drivers of Urban Land Use Change in the Pearl River Delta, China: Integrating Remote Sensing with Socioeconomic Data," Land Economics, University of Wisconsin Press, vol. 79(1), pages 106-121.
    • Handle: RePEc:uwp:landec:v:79:y:2003:i:1:p:106-121
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    References listed on IDEAS

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    1. Irene Eng, 1997. "The Rise of Manufacturing Towns: Externally Driven Industrialization and Urban Development in the Pearl River Delta of China," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 21(4), pages 554-568, December.
    2. Chomitz, Kenneth M & Gray, David A, 1996. "Roads, Land Use, and Deforestation: A Spatial Model Applied to Belize," The World Bank Economic Review, World Bank, vol. 10(3), pages 487-512, September.
    3. Gerald C. Nelson & Daniel Hellerstein, 1997. "Do Roads Cause Deforestation? Using Satellite Images in Econometric Analysis of Land Use," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(1), pages 80-88.
    4. Meng, Xin & Zhang, Junsen, 2001. "The Two-Tier Labor Market in Urban China: Occupational Segregation and Wage Differentials between Urban Residents and Rural Migrants in Shanghai," Journal of Comparative Economics, Elsevier, vol. 29(3), pages 485-504, September.
    5. Pfaff, Alexander S. P., 1999. "What Drives Deforestation in the Brazilian Amazon?: Evidence from Satellite and Socioeconomic Data," Journal of Environmental Economics and Management, Elsevier, vol. 37(1), pages 26-43, January.
    6. Peter C. B. Phillips & Hyungsik R. Moon, 1999. "Linear Regression Limit Theory for Nonstationary Panel Data," Econometrica, Econometric Society, vol. 67(5), pages 1057-1112, September.
    7. Sadownik, Bryn & Jaccard, Mark, 2001. "Sustainable energy and urban form in China: the relevance of community energy management," Energy Policy, Elsevier, vol. 29(1), pages 55-65, January.
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    More about this item

    JEL classification:

    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns

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