By utilizing a novel and unique dataset of daily measures of visibility, we propose regression-based new methods that are easy to implement to quantify the long-range spillover of air pollutants. In applying them to China, we find significant externalities of air pollution: an increase in the local pollution intensity by 10% can increase the pollutant intensity of a region 1,000 kilometers away by over 1%.