20230008_economics_working_paper_2023_01_en.pdf

The use of advanced digital technologies such as 3D printing, advanced robotics, drones, big data analytics and artificial intelligence is spreading. These technologies have uncertain implications for labour demand. Affected workers may need to re-train to adapt to changing tasks or new jobs. At the...

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Έκδοση: European Investment Bank 2023
id oapen-20.500.12657-76672
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spelling oapen-20.500.12657-766722023-10-13T02:45:45Z EIB Working Paper 2023/01 - Advanced digital technologies and investment in employee training Business & Economics; Banks & Banking bic Book Industry Communication::K Economics, finance, business & management::KF Finance & accounting::KFF Finance::KFFK Banking The use of advanced digital technologies such as 3D printing, advanced robotics, drones, big data analytics and artificial intelligence is spreading. These technologies have uncertain implications for labour demand. Affected workers may need to re-train to adapt to changing tasks or new jobs. At the same time, it is unclear whether or not advanced digital technologies encourage firms to invest in workforce re-training. Using firm-level data covering the 27 EU countries, the UK and the US, this paper shows that employers tend to reduce investment in training per employee, after adopting advanced digital technologies. It estimates, with a control function approach, firm-level production functions augmented with two factors: training per employee and digital technology use. We show that these are in fact substitutes in production, implying that an increase in the former negatively affects the marginal productivity of the latter, and that a decline in the cost of introducing advanced digital technologies reduces employers’ investment in training per employee. These findings point to challenges in realising high levels of firm-sponsored training for employees in increasingly digital economies. 2023-10-12T09:58:09Z 2023-10-12T09:58:09Z 2023 book https://library.oapen.org/handle/20.500.12657/76672 eng application/pdf Attribution-NonCommercial-NoDerivatives 4.0 International 20230008_economics_working_paper_2023_01_en.pdf European Investment Bank 10.2867/16937 10.2867/16937 66479d04-7b84-49c0-9a4d-db552a3ecc71 b818ba9d-2dd9-4fd7-a364-7f305aef7ee9 Knowledge Unlatched (KU) Knowledge Unlatched open access
institution OAPEN
collection DSpace
language English
description The use of advanced digital technologies such as 3D printing, advanced robotics, drones, big data analytics and artificial intelligence is spreading. These technologies have uncertain implications for labour demand. Affected workers may need to re-train to adapt to changing tasks or new jobs. At the same time, it is unclear whether or not advanced digital technologies encourage firms to invest in workforce re-training. Using firm-level data covering the 27 EU countries, the UK and the US, this paper shows that employers tend to reduce investment in training per employee, after adopting advanced digital technologies. It estimates, with a control function approach, firm-level production functions augmented with two factors: training per employee and digital technology use. We show that these are in fact substitutes in production, implying that an increase in the former negatively affects the marginal productivity of the latter, and that a decline in the cost of introducing advanced digital technologies reduces employers’ investment in training per employee. These findings point to challenges in realising high levels of firm-sponsored training for employees in increasingly digital economies.
title 20230008_economics_working_paper_2023_01_en.pdf
spellingShingle 20230008_economics_working_paper_2023_01_en.pdf
title_short 20230008_economics_working_paper_2023_01_en.pdf
title_full 20230008_economics_working_paper_2023_01_en.pdf
title_fullStr 20230008_economics_working_paper_2023_01_en.pdf
title_full_unstemmed 20230008_economics_working_paper_2023_01_en.pdf
title_sort 20230008_economics_working_paper_2023_01_en.pdf
publisher European Investment Bank
publishDate 2023
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