Pandemic distress and anti-immigration sentiments

IF 1.6 3区 经济学 Q2 ECONOMICS Economica Pub Date : 2024-05-28 DOI:10.1111/ecca.12536
Gianmarco Daniele, Andrea F. M. Martinangeli, Francesco Passarelli, Willem Sas, Lisa Windsteiger
{"title":"Pandemic distress and anti-immigration sentiments","authors":"Gianmarco Daniele,&nbsp;Andrea F. M. Martinangeli,&nbsp;Francesco Passarelli,&nbsp;Willem Sas,&nbsp;Lisa Windsteiger","doi":"10.1111/ecca.12536","DOIUrl":null,"url":null,"abstract":"<p>We investigate the causal nexus between pandemic distress and anti-immigration sentiments. We exploit the disruption brought about by the Covid-19 outbreak to randomly provide survey respondents with information on the economic or health consequences of the pandemic. Overall, we find that pessimistic information about the economic outlook reinforces overall adversity to immigration and the wish to exclude immigrants from access to healthcare. This effect is less pronounced in areas with larger immigrant populations. Our theoretical model pins down two possible mechanisms explaining these results: a zero-sum game to split scarce public resources between residents and immigrants on the one hand, and on the other, fear of contagion.</p>","PeriodicalId":48040,"journal":{"name":"Economica","volume":"91 363","pages":"1124-1155"},"PeriodicalIF":1.6000,"publicationDate":"2024-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economica","FirstCategoryId":"96","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/ecca.12536","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

We investigate the causal nexus between pandemic distress and anti-immigration sentiments. We exploit the disruption brought about by the Covid-19 outbreak to randomly provide survey respondents with information on the economic or health consequences of the pandemic. Overall, we find that pessimistic information about the economic outlook reinforces overall adversity to immigration and the wish to exclude immigrants from access to healthcare. This effect is less pronounced in areas with larger immigrant populations. Our theoretical model pins down two possible mechanisms explaining these results: a zero-sum game to split scarce public resources between residents and immigrants on the one hand, and on the other, fear of contagion.

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
大流行病的困扰和反移民情绪
我们研究了大流行病困扰与反移民情绪之间的因果关系。我们利用 Covid-19 爆发带来的混乱,随机向调查对象提供有关大流行病的经济或健康后果的信息。总体而言,我们发现,有关经济前景的悲观信息会加强对移民的整体敌意,并希望将移民排除在医疗保健之外。在移民人口较多的地区,这种影响并不明显。我们的理论模型确定了解释这些结果的两种可能机制:一方面是在居民和移民之间分配稀缺公共资源的零和博弈,另一方面是对传染的恐惧。
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 去求助
来源期刊
Economica
Economica ECONOMICS-
CiteScore
2.40
自引率
0.00%
发文量
49
审稿时长
5 weeks
期刊介绍: Economica is an international journal devoted to research in all branches of economics. Theoretical and empirical articles are welcome from all parts of the international research community. Economica is a leading economics journal, appearing high in the published citation rankings. In addition to the main papers which make up each issue, there is an extensive review section, covering a wide range of recently published titles at all levels.
期刊最新文献
Issue Information Combating trade-related fraud: do the Financial Action Task Force recommendations bite? Correction to ‘What if? The macroeconomic and distributional effects for Germany of a stop of energy imports’ The right to counsel: criminal prosecution in 19th century London Deterrent effects of targeted sanctions by mainland China on Taiwan: evidence from 2021–2 sanction events
×
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