Objective:
- Country-level estimates for the within-country correlation between wealth and pollution
Case:
Methodology:
Data Source: Open
- Relative wealth in 103 countries: 2.4 km *2.4 km
- Global pollution:
- van Donkelaar research group
- EDGAR: sectoral pollution
- Global elevation: National Aeronautics and Space Administration Advanced Spaceborne Thermal Emission and Reflection Radiometer project
- Urbanization: URCA, Nature (2018)
- Economic concentration: GHSL, built volume (100m)
- Country income: World Bank
Findings:
- Low and middle-income countries tend to have lower pollution
- Positive correlation between health and ambient pollution within-country
- The highest pollution levels with the highest wealth levels are the most urban
- In cities where the wealthy tend to live at higher elevations, they also tend to live in areas of lower pollution and vice versa
Coding Reference: