Brekelmans, Sybrand and Petropoulos, Georgios (2020) Occupational change, artificial intelligence and the geography of EU labour markets. Bruegel Working Paper Issue 03 | 15 June 2020. [Working Paper]
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Abstract
We study the nature and geography of occupational change in 24 European Union countries from 2002 to 2016. We evaluate how the composition of skills in the labour force depends on new technologies enabled by artificial intelligence and machine learning, and on institutional variables including educational attainment, labour legislation and product market regulations. We find that on average, EU countries have been through an upgrading of the skills of their occupational structures, rather than a pervasive polarisation. However, job polarisation is significant for workers without university degrees. Moreover, the European debt crisis has led to some job polarisation, which is particularly evident in urban centres. The changes in occupational structures appear to vary substantially across European Union regions. Cities, followed by suburban areas and towns, have suffered the largest declines in mid-skilled jobs. On the potential impact of new technologies, we find that low-skill mid-skill jobs are significantly exposed. Occupational changes caused by these technologies are likely to be more concentrated in cities and suburban areas. Last but not least, countries with high degrees of labour flexibility, high quality science education and less pervasive product market regulations tend to have higher skill-oriented occupational structures.
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Item Type: | Working Paper |
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Subjects for non-EU documents: | EU policies and themes > Policies & related activities > employment/labour market EU policies and themes > Policies & related activities > information society EU policies and themes > Policies & related activities > education policy/vocational training |
Subjects for EU documents: | UNSPECIFIED |
EU Series and Periodicals: | UNSPECIFIED |
EU Annual Reports: | UNSPECIFIED |
Series: | Series > Bruegel (Brussels) > Working Papers |
Depositing User: | Daniel Pennell |
Official EU Document: | No |
Language: | English |
Date Deposited: | 09 Nov 2020 09:48 |
Number of Pages: | 31 |
Last Modified: | 09 Nov 2020 10:06 |
URI: | http://aei.pitt.edu/id/eprint/103262 |
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