Modeling the Drivers of Urban Land Use Change in the Pearl River Delta, China: Integrating Remote Sensing with Socioeconomic Data
利用高分辨率遥感数据与年度社会经济数据构建面板数据，通过随机系数模型估计珠江三角洲城市扩张的驱动因素，发现外商直接投资和农业与城市用地的相对生产率是关键，对研究城市化和土地政策的经济学者有参考价值。
<i>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.</i>