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What to do when the robots come? Non-formal education in jobs affected by automation
[journal article]
Abstract Purpose: Ongoing automation processes may render a fair share of the existing jobs redundant or change their nature. This begs the question to what extent employees affected invest in training in order to strengthen their labour market position in times of uncertainty. Given the different national l... view more
Purpose: Ongoing automation processes may render a fair share of the existing jobs redundant or change their nature. This begs the question to what extent employees affected invest in training in order to strengthen their labour market position in times of uncertainty. Given the different national labour market regimes and institutions, there may be an important geographical dimension to the opportunities to cope with the challenges set by automation. The purpose of this study is to address both issues. Design/methodology/approach: Using data from the 2016 European labour Force Survey, the authors estimate with logit and multi-level regression analyses how the automation risk of a worker's job is associated with the propensity of following non-formal education/training. The authors allow this relationship to vary across European countries. Findings: The results show that employees in jobs vulnerable to automation invest relatively little in training. Also, there are significant differences across Europe in both the provision of training in general and the effect of automation on training provision. Originality/value: While there is quite a lot of research on the structural labour market effects of automation, relatively little is known about the actions that employees take to deal with the uncertainty they are faced with. This article aims to contribute to our understanding of such mechanisms underlying the structural macro-level labour-market dynamics.... view less
Keywords
training; labor market; automation; job; further education
Classification
Sociology of Work, Industrial Sociology, Industrial Relations
Labor Market Research
Free Keywords
EU-LFS
Document language
English
Publication Year
2021
Page/Pages
p. 1397-1419
Journal
International Journal of Manpower, 42 (2021) 8
DOI
https://doi.org/10.1108/IJM-06-2020-0314
ISSN
0143-7720
Status
Published Version; peer reviewed