基于夜间灯光数据的中国区域发展评价

Evaluation of China Regional Development Based on DMSP-OLS Data

结合DMSP-OLS夜间灯光数据和生态足迹理论,基于投入产出法提出了一种评价中国区域发展的方法。首先用灯光指数表征区域发展水平,将其作为产出因子;用改进的生产性生态足迹方法计算区域生态足迹,将其作为投入因子;以此来构建区域发展指数。然后进行区域发展健康程度排名,灯光指数与生态足迹增长率对比分析,及区域发展指数变化规律聚类分析。最后得出结论:上海和北京在区域发展健康程度排名中占据前两位,远高于其他省份和全国平均水平,其发展方式值得其他地区借鉴;各省区市的发展状况总体上呈现良好态势,除内蒙古和陕西外,生态足迹的增长率均低于灯光指数的增长率;根据聚类分析结果,区域发展类型可以分为进步型、稳定型和退步型三类。

Combining DMSP-OLS nighttime light data with the theory of ecological footprint, a new method is put forward to evaluate China＇s regional development based on input-output method. Firstly, Total Light Index （TLI） is used to represent the level of regional development as an output factor; Ecological Footprint （EF） is calculated using improved method of productive ecological footprint as an input factor; then it established regional development index （RDI） based on the two factors. Secondly, a ranking list of regional development index is produced; and total light index and growth rate of ecological footprint are compared and analyzed, Clustering analysis is applied to change law of regional development index. Finally, some useful conclusions are drawn： （1） Shanghai and Beijing are the top two regions in the ranking list of regional development index, and much higher than other provinces and national average level. The development mode of the two municipalities is worthy of reference for other provinces. （2） The provincial development situation of China shows good trend overall. In addition to Inner Mongolia and Shaanxi, the growth rates of ecological footprint are all lower than the growth rates of total light index. （3） Through clustering analysis, regional development mode can be divided into progressive type, stable type and backward type.