估算因COVID-19造成的农民工收入损失。

IF 1 Q3 ECONOMICS Indian Journal of Labour Economics Pub Date : 2020-01-01 Epub Date: 2020-10-21 DOI:10.1007/s41027-020-00281-y
Manolo I Abella, S K Sasikumar
{"title":"估算因COVID-19造成的农民工收入损失。","authors":"Manolo I Abella,&nbsp;S K Sasikumar","doi":"10.1007/s41027-020-00281-y","DOIUrl":null,"url":null,"abstract":"<p><p>While the wide-ranging impact of COVID-19 on incomes and livelihoods of people around the world will take some time to become known and understood, it is already clear that those who are in manual, mostly low-wage, occupations are among the worst-hit workers. This paper uses data from a sample survey of migrant workers to come up with useful parameters for estimating the potential losses from possible retrenchment of migrant workers due to the pandemic. The paper employs a simple estimation model using parameters derived from data collected from a KNOMAD-ILO survey of low-skilled migrant workers in the India-Saudi Arabia migration corridor, conducted during 2016-2017. An important finding is that the aggregate losses that low-skilled Indian workers in Saudi Arabia are likely to incur due to COVID-19-related retrenchment may be as high as 21% of their expected earnings. Adding recruitment costs can push up their losses to 36% of expected or potential earnings, while the aggregate remittances to their families could drop by USD 2 billion.</p>","PeriodicalId":34915,"journal":{"name":"Indian Journal of Labour Economics","volume":null,"pages":null},"PeriodicalIF":1.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s41027-020-00281-y","citationCount":"7","resultStr":"{\"title\":\"Estimating Earnings Losses of Migrant Workers Due to COVID-19.\",\"authors\":\"Manolo I Abella,&nbsp;S K Sasikumar\",\"doi\":\"10.1007/s41027-020-00281-y\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>While the wide-ranging impact of COVID-19 on incomes and livelihoods of people around the world will take some time to become known and understood, it is already clear that those who are in manual, mostly low-wage, occupations are among the worst-hit workers. This paper uses data from a sample survey of migrant workers to come up with useful parameters for estimating the potential losses from possible retrenchment of migrant workers due to the pandemic. The paper employs a simple estimation model using parameters derived from data collected from a KNOMAD-ILO survey of low-skilled migrant workers in the India-Saudi Arabia migration corridor, conducted during 2016-2017. An important finding is that the aggregate losses that low-skilled Indian workers in Saudi Arabia are likely to incur due to COVID-19-related retrenchment may be as high as 21% of their expected earnings. Adding recruitment costs can push up their losses to 36% of expected or potential earnings, while the aggregate remittances to their families could drop by USD 2 billion.</p>\",\"PeriodicalId\":34915,\"journal\":{\"name\":\"Indian Journal of Labour Economics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1007/s41027-020-00281-y\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Indian Journal of Labour Economics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s41027-020-00281-y\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2020/10/21 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Indian Journal of Labour Economics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s41027-020-00281-y","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2020/10/21 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 7

摘要

虽然人们需要一段时间才能了解和理解COVID-19对世界各地人民收入和生计的广泛影响,但已经明确的是,那些从事体力劳动(主要是低工资)的工人是受影响最严重的工人之一。本文利用对移徙工人的抽样调查数据,提出了有用的参数,用于估计因疫情而可能减少移徙工人的潜在损失。本文采用了一个简单的估计模型,该模型使用的参数来自2016-2017年期间knnomad - ilo对印度-沙特阿拉伯移民走廊低技能移民工人的调查数据。一项重要的发现是,由于与covid -19相关的裁员,沙特阿拉伯的低技能印度工人可能遭受的总损失可能高达其预期收入的21%。增加招聘成本可能会使他们的损失增加到预期或潜在收入的36%,而他们给家人的汇款总额可能会减少20亿美元。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Estimating Earnings Losses of Migrant Workers Due to COVID-19.

While the wide-ranging impact of COVID-19 on incomes and livelihoods of people around the world will take some time to become known and understood, it is already clear that those who are in manual, mostly low-wage, occupations are among the worst-hit workers. This paper uses data from a sample survey of migrant workers to come up with useful parameters for estimating the potential losses from possible retrenchment of migrant workers due to the pandemic. The paper employs a simple estimation model using parameters derived from data collected from a KNOMAD-ILO survey of low-skilled migrant workers in the India-Saudi Arabia migration corridor, conducted during 2016-2017. An important finding is that the aggregate losses that low-skilled Indian workers in Saudi Arabia are likely to incur due to COVID-19-related retrenchment may be as high as 21% of their expected earnings. Adding recruitment costs can push up their losses to 36% of expected or potential earnings, while the aggregate remittances to their families could drop by USD 2 billion.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Indian Journal of Labour Economics
Indian Journal of Labour Economics Economics, Econometrics and Finance-Economics and Econometrics
CiteScore
3.20
自引率
6.70%
发文量
48
期刊介绍: Indian Journal of Labour Economics (IJLE) is one of the few prominent Journals of its kind from South Asia. It provides eminent economists and academicians an exclusive forum for an analysis and understanding of issues pertaining to labour economics, industrial relations including supply and demand of labour services, personnel economics, distribution of income, unions and collective bargaining, applied and policy issues in labour economics, and labour markets and demographics. The journal includes peer reviewed articles, research notes, sections on promising new theoretical developments, comparative labour market policies or subjects that have the attention of labour economists and labour market students in general, particularly in the context of India and other developing countries.
期刊最新文献
Can Female Political Representation Impact Female Labour Force Participation Rate? A Study across Indian States using Fixed Effect Panel Data Model Archana Aggarwal: Labouring Lives: Industry and Informality in New India Discerning the Long-Term Pace and Patterns of Employment in India Enterprise Informality in India: The Blind Spots in Public Policy Exploring the Informal Sector in Nepal: Performance Trend, Dualism, and Rural-Urban Dynamics
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1