Regional variations in automation job risk and labour market thickness to agricultural employment

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dc.contributor.authorRijnks, Richard Henry
dc.contributor.authorCrowley, Frank
dc.contributor.authorDoran, Justin
dc.contributor.funderDepartment of Agriculture, Food and the Marine, Irelanden
dc.date.accessioned2022-03-21T10:17:12Z
dc.date.available2022-03-21T10:17:12Z
dc.date.issued2022-03-04
dc.date.updated2022-03-21T10:06:45Z
dc.description.abstractAutomation has the potential to transform entire agricultural value chains and the nature of agricultural business. Recent studies have emphasised barriers to adoption, as well as issues related to labour market and cultural outcomes of automation. However, thus far, very little attention has been afforded to the regional variations in the potential for automation adoption or threats to agricultural employment. Specifically, research to date does not take into account the local availability of similar occupations including those in different sectors to which displaced workers may transition. Threats to employment and lower numbers of similar jobs locally are particularly salient in rural contexts, given the thin and specialized local labour markets. The aims of this paper are to show the regional distribution of risk to automation for the agricultural sector specifically, and to link these patterns to indicators for occupation specific labour market thickness in Ireland. Using detailed occupational skills data, we construct indices for local labour market thickness conditioned on occupational skills and knowledge requirements. We show that there is substantial regional heterogeneity in the potential threat of automation to the employment prospects of workers currently active in the agricultural sector. This regional heterogeneity highlights the importance of the regional context for designing effective labour market policy in the face of job automation.en
dc.description.sponsorshipDepartment of Agriculture, Food and the Marine, Ireland (RENEW2050- Rural Generational Renewal 2050 -2019R414)en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRijnks, R. H., Crowley, F. and Doran, J. (2022) 'Regional variations in automation job risk and labour market thickness to agricultural employment', Journal of Rural Studies, 91, pp. 10-23. doi: 10.1016/j.jrurstud.2021.12.012en
dc.identifier.doi10.1016/j.jrurstud.2021.12.012en
dc.identifier.endpage23en
dc.identifier.issn0743-0167
dc.identifier.journaltitleJournal of Rural Studiesen
dc.identifier.startpage10en
dc.identifier.urihttps://hdl.handle.net/10468/12942
dc.identifier.volume91en
dc.language.isoenen
dc.publisherElsevier Ltd.en
dc.rights© 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectAgricultural employmenten
dc.subjectAutomationen
dc.subjectKnowledge basesen
dc.subjectRegional economic developmenten
dc.subjectRegional labour marketsen
dc.titleRegional variations in automation job risk and labour market thickness to agricultural employmenten
dc.typeArticle (peer-reviewed)en
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