Suchergebnisse

Abstract
This paper analyzes inequities in the distribution of air pollution in Mexico at the detailed scale of localities. We find that air pollution increases in areas that experience a decline in socioeconomic status. We utilize 15 years of remote sensing data on fine particulate matter (smaller than 2.5 microns) for more than 116,500 localities across Mexico. Our panel data models show that localities that face a decline in socioeconomic status experience a 0.24–0.83 per cent increase in annual mean pollution concentrations. Our results hold up to controlling for changes within each municipality and instrumenting with broader municipality level socioeconomic status to test for ecological fallacy. We find that local air pollution inequities are reduced by political participation channels, but not as much by increased share of manufacturing activities due to polluters locating in poorer neighborhoods. Highly dense, urban municipalities witness higher inequities most likely due to traffic, construction, and agricultural fires.

This project links administrative census microdata to spatially continuous measures of particulate pollution (PM2.5) to first document and then decompose the key drivers of convergence in black-white pollution exposure differences. We use quantile regression to show that a significant portion of the convergence in Black-White exposure is attributable to differential impacts of the Clean Air Act (CAA) in Black and White communities. Areas with larger Black populations saw greater CAA-related declines in PM2.5. We show that the CAA can account for over 60 percent of the racial convergence in PM2.5 pollution exposure in the United States since 2000. (JEL J15, K32, Q51, Q53, Q58)