本文提出了一种用于评估政策对中国区域发展影响的方法。评估各种政策在空间上的影响十分重要。然而在评估过程中，使用标准统计数据的方法既缓慢又极为昂贵。遥感夜间灯光数据可以被实时获取，且具有很高的空间分辨率，它已被证明是对于人类发展情况的良好指标。本文表明，通过最近新开发出的空间基尼系数算法对1992年到2013年的夜间灯光数据进行时间序列研究，这样的方法可用于评估政策的空间影响。通过将原始数据转换为离散的对数标度等级，可以保持较低的计算工作量并且可以实现良好的可视化，通过这个方法可以发现西部大开发战略的空间效应和保护中国经济免受国际金融危机冲击的措施。通过将夜间光照数据与经过适当处理所得的空间基尼系数指数相结合，本文为评估从一平方公里到整个省份的各种尺度大小的区域之内的政策影响提供了一种快速而成本较低的方法，并指出了该方法未来的改进方向。

This paper proposes a method to assess the impacts of policies on regional development in China. Assessing the spatial impacts of policies is clearly important. Doing so with standard statistics, however, is slow and costly. Through remote sensing, nighttime light is available in real-time with high spatial resolution. It has been shown to be a good indicator for local human development. The paper shows that the recent development of a spatial Gini index can be used to assess the spatial impacts of policies by considering a time series from 1992 to 2013. The computational effort can be kept manageable and a good visualization can be achieved by transforming the raw data into a discrete logarithmic scale. Spatial effects of the strategy to develop the western region and of the measures to defend the Chinese economy from the shock of the international financial crisis can be detected. Combining nighttime light data with a spatial Gini index on suitably processed data offers a fast and cheap method for assessing the policy impacts on regional development at all scales from square kilometers to whole groups of provinces. Future refinements of the method are indicated.