 The study investigates the potential of NPP buyers' nighttime light data in estimating GDP and EPC at multiple scales through a case study of China, using pre-processing procedures to reduce background noise and linear regression to fit correlations between TNL and socioeconomic indicators. Results show that NPP buyers' data can be a powerful tool for modeling GDP and EPC. This article was authored by Kaifeng Shui, Baileinyu, Yixiu Huang, and others.