G2TT
来源类型Discussion paper
规范类型论文
来源IDDP15994
DP15994 The Productivity Consequences of Pollution-Induced Migration in China
Gaurav Khanna; Ran Song; Wenquan Liang
发表日期2021-04-01
出版年2021
语种英语
摘要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.
主题Development Economics ; International Trade and Regional Economics ; Labour Economics ; Macroeconomics and Growth
关键词Internal migration Air pollution Spatial productivity gaps
URLhttps://cepr.org/publications/dp15994
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/544979
推荐引用方式
GB/T 7714
Gaurav Khanna,Ran Song,Wenquan Liang. DP15994 The Productivity Consequences of Pollution-Induced Migration in China. 2021.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Gaurav Khanna]的文章
[Ran Song]的文章
[Wenquan Liang]的文章
百度学术
百度学术中相似的文章
[Gaurav Khanna]的文章
[Ran Song]的文章
[Wenquan Liang]的文章
必应学术
必应学术中相似的文章
[Gaurav Khanna]的文章
[Ran Song]的文章
[Wenquan Liang]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。