Regional variations in automation job risk and labour market thickness to agricultural employment
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Published Version
Appendix A - Supplementary Data
Date
2022-03-04
Authors
Rijnks, Richard Henry
Crowley, Frank
Doran, Justin
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier Ltd.
Published Version
Abstract
Automation 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.
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Keywords
Agricultural employment , Automation , Knowledge bases , Regional economic development , Regional labour markets
Citation
Rijnks, 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.2021.12.012