Peer Migration in China

IF 1.5 3区 经济学 Q2 ECONOMICS
Yuyu Chen, Ginger Zhe Jin, Yang Yue
{"title":"Peer Migration in China","authors":"Yuyu Chen,&nbsp;Ginger Zhe Jin,&nbsp;Yang Yue","doi":"10.1111/obes.12588","DOIUrl":null,"url":null,"abstract":"<p>With over 290 million rural labourers transitioning to urban areas in 2019, China is experiencing an unparalleled scale of internal migration, the largest in human history. Employing instrumental variables (IVs) gleaned from the 2006 China Agricultural Census (CAC), we find that a 10 percentage point increase in the migration rate among co-villagers amplifies an individual's probability of migrating by 7.13 percentage points. Influencing factors such as information dissemination at the origin and cost efficiencies at the destination likely contribute to the observed clustering of migration by age, destination and industrial sector. Intriguingly, migration seems to exert a negligible influence on the agricultural productivity of those who remain, which may be due to substantial labour redundancy at the point of origin and potentially higher productivity among migrants.</p>","PeriodicalId":54654,"journal":{"name":"Oxford Bulletin of Economics and Statistics","volume":"86 2","pages":"257-313"},"PeriodicalIF":1.5000,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Oxford Bulletin of Economics and Statistics","FirstCategoryId":"96","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/obes.12588","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0

Abstract

With over 290 million rural labourers transitioning to urban areas in 2019, China is experiencing an unparalleled scale of internal migration, the largest in human history. Employing instrumental variables (IVs) gleaned from the 2006 China Agricultural Census (CAC), we find that a 10 percentage point increase in the migration rate among co-villagers amplifies an individual's probability of migrating by 7.13 percentage points. Influencing factors such as information dissemination at the origin and cost efficiencies at the destination likely contribute to the observed clustering of migration by age, destination and industrial sector. Intriguingly, migration seems to exert a negligible influence on the agricultural productivity of those who remain, which may be due to substantial labour redundancy at the point of origin and potentially higher productivity among migrants.

中国的同辈移民
2019 年,将有超过 2.9 亿农村劳动力向城市地区转移,中国正在经历人类历史上规模最大的一次国内人口迁移。利用从 2006 年中国农业普查(CAC)中提取的工具变量(IVs),我们发现同村村民的迁移率每增加 10 个百分点,个人的迁移概率就会增加 7.13 个百分点。原籍地的信息传播和目的地的成本效益等影响因素很可能促成了所观察到的按年龄、目的地和产业部门划分的迁移集群。耐人寻味的是,移民似乎对那些留下来的人的农业生产率影响微乎其微,这可能是由于原籍地劳动力大量冗余,而移民的生产率可能更高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Oxford Bulletin of Economics and Statistics
Oxford Bulletin of Economics and Statistics 管理科学-统计学与概率论
CiteScore
5.10
自引率
0.00%
发文量
54
审稿时长
>12 weeks
期刊介绍: Whilst the Oxford Bulletin of Economics and Statistics publishes papers in all areas of applied economics, emphasis is placed on the practical importance, theoretical interest and policy-relevance of their substantive results, as well as on the methodology and technical competence of the research. Contributions on the topical issues of economic policy and the testing of currently controversial economic theories are encouraged, as well as more empirical research on both developed and developing countries.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信