大流行病危机中的工作保留机会——以亚太区域三个国家为例

Q2 Social Sciences
Arnold Tóth, B. Kálmán, Allen Engle, József Poór
{"title":"大流行病危机中的工作保留机会——以亚太区域三个国家为例","authors":"Arnold Tóth, B. Kálmán, Allen Engle, József Poór","doi":"10.1556/204.2022.00019","DOIUrl":null,"url":null,"abstract":"\n Our study examines the development of unemployment data from three strong Asian economies, China, Korea, and Japan. The focus is on the impact of the economic crisis caused by COVID-19, as well as an overview of the possible solutions to combat the impact of similar future crises on the labour market, in the hope of mitigating future economic dislocations. Following an overview of the region's economy and the pandemic, we use stochastic modelling of unemployment data of ten years prior to the pandemic, to estimate counterfactual future data without the pandemic. We then compare this estimate with real data during the pandemic. We did this in order to explore ideas and new solutions that could possibly be applied in Hungary, which is presently burdened by a very significant labour shortage.","PeriodicalId":40049,"journal":{"name":"Society and Economy","volume":"29 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Job retention opportunities in a pandemic crisis based on the example of three countries in the Asia-Pacific region\",\"authors\":\"Arnold Tóth, B. Kálmán, Allen Engle, József Poór\",\"doi\":\"10.1556/204.2022.00019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n Our study examines the development of unemployment data from three strong Asian economies, China, Korea, and Japan. The focus is on the impact of the economic crisis caused by COVID-19, as well as an overview of the possible solutions to combat the impact of similar future crises on the labour market, in the hope of mitigating future economic dislocations. Following an overview of the region's economy and the pandemic, we use stochastic modelling of unemployment data of ten years prior to the pandemic, to estimate counterfactual future data without the pandemic. We then compare this estimate with real data during the pandemic. We did this in order to explore ideas and new solutions that could possibly be applied in Hungary, which is presently burdened by a very significant labour shortage.\",\"PeriodicalId\":40049,\"journal\":{\"name\":\"Society and Economy\",\"volume\":\"29 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Society and Economy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1556/204.2022.00019\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Society and Economy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1556/204.2022.00019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 0

摘要

我们的研究考察了中国、韩国和日本这三个强劲的亚洲经济体的失业数据的发展。会议重点讨论新冠肺炎疫情造成的经济危机的影响,并概述应对未来类似危机对劳动力市场影响的可能解决方案,以期减轻未来的经济混乱。在概述了该地区的经济和大流行之后,我们对大流行前十年的失业数据进行了随机建模,以估计没有大流行的反事实未来数据。然后,我们将这一估计与大流行期间的实际数据进行比较。我们这样做是为了探索可能适用于匈牙利的想法和新的解决方案,匈牙利目前面临着非常严重的劳动力短缺问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Job retention opportunities in a pandemic crisis based on the example of three countries in the Asia-Pacific region
Our study examines the development of unemployment data from three strong Asian economies, China, Korea, and Japan. The focus is on the impact of the economic crisis caused by COVID-19, as well as an overview of the possible solutions to combat the impact of similar future crises on the labour market, in the hope of mitigating future economic dislocations. Following an overview of the region's economy and the pandemic, we use stochastic modelling of unemployment data of ten years prior to the pandemic, to estimate counterfactual future data without the pandemic. We then compare this estimate with real data during the pandemic. We did this in order to explore ideas and new solutions that could possibly be applied in Hungary, which is presently burdened by a very significant labour shortage.
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
Society and Economy
Society and Economy Social Sciences-Sociology and Political Science
CiteScore
1.50
自引率
0.00%
发文量
26
审稿时长
28 weeks
期刊介绍: The double-blind peer-reviewed journal publishes original research articles and book reviews in the fields of economics, social sciences, and business studies, which address social and economic issues in Central and Eastern Europe or have relevance for social and economic development in this region. While it welcomes articles from the international academic community, Society and Economy seeks in particular to provide an international forum for scholars working in the research traditions of this region. The journal welcomes submissions of high-quality and multi-disciplinary articles that address social, demographic, political, economic and industrial trends and challenges. Society and Economy is a gold open access journal since 2019 but authors are not requested to pay an article processing fee.
×
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