The Productivity Consequences of Pollution-Induced Migration in China
We quantify how pollution affects aggregate productivity and welfare in spatial equilibrium. We show that skilled workers in China emigrate away from polluted cities. These patterns are evident under various empirical specifications, such as when instrumenting for pollution using upwind power plants, or thermal inversions. Pollution changes the spatial distribution of skilled and unskilled workers, and wage returns by location. We quantify the loss in aggregate productivity due to this re-sorting by estimating a spatial equilibrium model. Counterfactual simulations show that reducing pollution increases productivity through spatial re-sorting by approximately as much as the direct health benefits of clean air. (JEL J24, J31, J61, P25, P28, Q53, R23)
Authors
- Gaurav Khanna (ORCID: https://orcid.org/0000-0002-6846-3437)
- Ran Song
- Ahmed Mushfiq Mobarak (ORCID: https://orcid.org/0000-0002-1916-3438)
- Wenquan Liang (ORCID: https://orcid.org/0000-0001-8156-709X)
Institutions
- Tongji University (CN)
- Center for Economic and Policy Research (US)
- National University of Singapore (SG)
- Yale University (US)
- University of California San Diego (US)
Publication Details
- Journal
- American Economic Journal Applied Economics
- Published
- 2025-03-27
- DOI
- https://doi.org/10.1257/app.20220655
- Citations
- 14
- Primary Topic
- Migration and Labor Dynamics
- Type
- article
- Field-Weighted Citation Impact
- 58.82