How Do People Respond When They Know That Robots Will Take Their Jobs
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Gunadi, Christian | - |
dc.contributor.author | Ryu, Hanbyul | - |
dc.date.accessioned | 2023-07-05T05:32:05Z | - |
dc.date.available | 2023-07-05T05:32:05Z | - |
dc.date.issued | 2023-10 | - |
dc.identifier.issn | 0305-9049 | - |
dc.identifier.issn | 1468-0084 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/112908 | - |
dc.description.abstract | In recent years, the USA observed a substantial increase in the adoption of robotic technology. The use of industrial robots in the US economy increased rapidly from about 1 robot per 1,000 workers in 2005 to 1.7 robots per 1,000 workers in 2017, a 70% increase. At the same time, there is a concern that the rapid adoption of robots will transform our society in a way that we have never seen before. In this article, we investigate whether individuals are responding to the increasing use of robots in their locality by altering their schooling decision. The results of the analysis suggest that a 10% increase in robot exposure is associated with an approximately 2.5% rise in college enrolment rate. In the long run, we find evidence that more intense exposure to robots during school ages is associated with an increase in the probability of an individual obtaining a college degree. © 2023 Oxford University and John Wiley & Sons Ltd. | - |
dc.format.extent | 20 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Blackwell Publishing Inc. | - |
dc.title | How Do People Respond When They Know That Robots Will Take Their Jobs | - |
dc.type | Article | - |
dc.publisher.location | 미국 | - |
dc.identifier.doi | 10.1111/obes.12544 | - |
dc.identifier.scopusid | 2-s2.0-85148232049 | - |
dc.identifier.wosid | 000934559000001 | - |
dc.identifier.bibliographicCitation | Oxford Bulletin of Economics and Statistics, v.85, no.5, pp 939 - 958 | - |
dc.citation.title | Oxford Bulletin of Economics and Statistics | - |
dc.citation.volume | 85 | - |
dc.citation.number | 5 | - |
dc.citation.startPage | 939 | - |
dc.citation.endPage | 958 | - |
dc.type.docType | 정기학술지(Article(Perspective Article포함)) | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | ssci | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Business & Economics | - |
dc.relation.journalResearchArea | Mathematical Methods In Social Sciences | - |
dc.relation.journalResearchArea | Mathematics | - |
dc.relation.journalWebOfScienceCategory | Economics | - |
dc.relation.journalWebOfScienceCategory | Social Sciences, Mathematical Methods | - |
dc.relation.journalWebOfScienceCategory | Statistics & Probability | - |
dc.subject.keywordPlus | GENDER | - |
dc.subject.keywordPlus | INVESTMENT | - |
dc.subject.keywordPlus | RETURNS | - |
dc.identifier.url | https://www.scopus.com/record/display.uri?eid=2-s2.0-85148232049&origin=inward&txGid=199f196243ec5b98d85ff67e0c9c61f4 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
55 Hanyangdeahak-ro, Sangnok-gu, Ansan, Gyeonggi-do, 15588, Korea+82-31-400-4269 sweetbrain@hanyang.ac.kr
COPYRIGHT © 2021 HANYANG UNIVERSITY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.