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Title: The Productivity Consequences of Pollution-Induced Migration in China

Author(s): Gaurav Khanna, Wenquan Liang, Ahmed Mushfiq Mobarak and Ran Song

Publication Date: April 2021

Keyword(s): air pollution, internal migration and spatial productivity gaps

Programme Area(s): Development Economics, International Trade and Regional Economics, Labour Economics and Macroeconomics and Growth

Abstract: Migration and pollution are two defining features of China's impressive growth performance over the last 30 years. In this paper we study the migration response to pollution in Chinese cities, and its consequences for productivity and welfare. We document a robust pattern in which skilled workers emigrate more in response to pollution than the unskilled. Their greater sensitivity to air quality holds up in cross-sectional variation across cities, panel variation with individual fixed-effects, and when instrumenting for pollution using distant power-plants upwind of cities, or thermal inversions that trap pollution. Pollution therefore changes the spatial distribution of skilled and unskilled workers, which results in higher returns to skill in cities that the educated migrate away from. We quantify the loss in aggregate productivity due to this re-sorting by estimating a model of demand and supply of skilled and unskilled workers across Chinese cities. Counterfactual simulations from the estimated model show that reducing pollution would increase productivity through spatial re-sorting by approximately as much as the direct health benefits of clean air. Physical and institutional restrictions on mobility exacerbate welfare losses. People's dislike of pollution explains a substantial portion of the wage gap between cities.

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Bibliographic Reference

Khanna, G, Liang, W, Mobarak, A and Song, R. 2021. 'The Productivity Consequences of Pollution-Induced Migration in China'. London, Centre for Economic Policy Research. https://cepr.org/active/publications/discussion_papers/dp.php?dpno=15994