In this study, we show that changes in electricity prices in China have significant environmental consequences through its effect on industrial pollution emissions concentrations. To investigate this relationship, we pair a novel dataset of hourly smokestack-level pollutant emissions of industrial plants in Anhui, China with changes in hourly electricity prices. Using a difference-in-differences (DID) regression model, we find that pollution emissions from these plants have an inverse relationship with electricity prices.

Coal has fueled China's rapid growth in recent decades, but it also severely pollutes the air and causes many health issues. The magnitude of the health damage caused by air pollution depends on the location of emission sources. In this paper, we look into the spatial distribution of coal-fired power plants, which are the major emission sources in China, and investigate the determining factors behind the distribution.