The impact of automation on employment: just the usual structural change?
By Ben Vermeulen, Jan Kesselhut, Andreas Pyka, P. Saviotti. 2018
155 citations recorded by the source corpus.
We study the projected impact of automation on employment in the forthcoming decade, both at the macro-level and in actual (types of) sectors. Hereto, we unite an evolutionary economic model of multisectoral structural change with labor economic theory. We thus get a comprehensive framework of how displacement of labor in sectors of application is compensated by intra- and intersectoral countervailing effects and notably mopped up by newly created, labor-intensive sectors. We use several reputable datasets with expert projections on employment in occupations affected by automation (and notably by the introduction of robotics and AI) to pinpoint which and how sectors and occupations face employment shifts. This reveals how potential job loss due to automation in “applying” sectors is counterbalanced by job creation in “making” sectors as well in complementary and quaternary, spillover sectors. Finally, we study several macro-level scenarios on employment and find that mankind is facing “the usual structural change” rather than the “end of work”. We provide recommendations on policy instruments that enhance the dynamic efficiency of structural change.
Subfields: Economics and Econometrics, General Health Professions, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/a987462c9fa1eb94868790b3fc425f98f3e8fc36
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Citations in the corpus
- Economic Growth, Increasing Productivity of SMEs, and Open Innovation (2021, background): “SMEs are crucial for local economic development, playing a noteworthy role in job creation, poverty alleviation, and economic growth [48,49].”