G2TT
来源类型Discussion paper
规范类型论文
来源IDDP12578
DP12578 China's "Great Migration'': The impact of the reduction in trade policy uncertainty
Giovanni Facchini; Maggie Y. Liu; Anna Mayda; Minghai Zhou
发表日期2018-01-09
出版年2018
语种英语
摘要We analyze the effect of China's integration into the world economy on workers in the country and show that one important channel of impact has been internal migration. Specifically, we study the changes in internal migration rates triggered by the reduction in trade policy uncertainty faced by Chinese exporters in the U.S. This reduction is characterized by plausibly exogenous variation across sectors, which we use to construct a local measure of treatment, at the level of a Chinese prefecture, following Bartik (1991). This allows us to estimate a difference-in-difference empirical specification based on variation across Chinese prefectures before and after 2001. We find that prefectures facing the average decline in trade policy uncertainty experience an 18 percent increase in their internal in-migration rate -- this result is driven by migrants who are ``non-hukou", skilled, and in their prime working age. Finally, in those prefectures, working hours of ``native'' unskilled workers significantly increase -- while the employment rates of neither native workers nor internal migrants change.
主题International Trade and Regional Economics
关键词Hukou Immigration Internal migration Trade policy uncertainty
URLhttps://cepr.org/publications/dp12578
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/541389
推荐引用方式
GB/T 7714
Giovanni Facchini,Maggie Y. Liu,Anna Mayda,et al. DP12578 China's "Great Migration'': The impact of the reduction in trade policy uncertainty. 2018.
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
[Giovanni Facchini]的文章
[Maggie Y. Liu]的文章
[Anna Mayda]的文章
百度学术
百度学术中相似的文章
[Giovanni Facchini]的文章
[Maggie Y. Liu]的文章
[Anna Mayda]的文章
必应学术
必应学术中相似的文章
[Giovanni Facchini]的文章
[Maggie Y. Liu]的文章
[Anna Mayda]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。