Suppr超能文献

新冠疫情对美国农业劳动力的影响:来自当前人口调查的证据

Labor Impacts of COVID-19 in U.S. Agriculture: Evidence from the Current Population Survey.

作者信息

Pena Anita Alves

机构信息

Department of Economics and Intermountain Center for Agricultural Health and Safety, Colorado State University, Fort Collins, CO USA.

出版信息

J Labor Res. 2023 Jun 3:1-12. doi: 10.1007/s12122-023-09345-6.

Abstract

Early research hypothesized impacts of COVID-19 on agricultural workers, food supply, and rural health systems based on population characteristics from data collected preceding the pandemic. Trends confirmed a vulnerable workforce and limits to field sanitation, housing quality, and healthcare. Less is known about eventual, realized impacts. This article uses the Current Population Survey's COVID-19 monthly core variables from May 2020 through September 2022 to document actual impacts. Summary statistics and statistical models for the probability of being unable to work reveal that 6 to 8% of agricultural workers were unable to work early in the pandemic and that impacts were disproportionately negative for Hispanics and those with children. An implication is that targeted policies based on vulnerabilities may minimize disparate impacts of a public health shock. Understanding the full impacts of COVID-19 on essential labor remains important for economics, public policy, and food systems in addition to public health.

摘要

早期研究基于疫情前收集的数据中的人口特征,对新冠疫情对农业工人、粮食供应和农村卫生系统的影响进行了假设。趋势证实了劳动力的脆弱性以及田间卫生、住房质量和医疗保健方面的限制。对于最终实际产生的影响,人们了解得较少。本文使用2020年5月至2022年9月当前人口调查的新冠疫情月度核心变量来记录实际影响。关于无法工作概率的汇总统计和统计模型显示,在疫情初期,6%至8%的农业工人无法工作,而且对西班牙裔和有孩子的人产生的负面影响尤为严重。这意味着基于脆弱性制定的针对性政策可能会将公共卫生冲击的不同影响降至最低。除了公共卫生之外,了解新冠疫情对关键劳动力的全面影响对于经济学、公共政策和粮食系统也仍然很重要。

相似文献

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验