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Publication detail
PETROVÁ, K.
Original Title
The Impact of Digital Technologies on Neoclassical Labor Market
Type
journal article in Scopus
Language
English
Original Abstract
Labor market economics works on the principle of a neoclassical approach. Competitive forces, corporate policy, collective bargaining, and state intervention create the reality of the market. Technological progress in advanced technology, robotics, and artificial intelligence is strengthening the economies of several countries. The article deals with the actual influence of digital technologies on the neoclassical paradigm of the labor market and the impacts on the tasks and requirements for the competencies of workers and the level of their qualifications. Research is based on secondary data from relevant sources with emphasis on the quality using the interface Primo database, enabling the search for data in full-fledged databases (Web of Science, ProQuest, etc.). The real minimum wage, employment rate and jobs at risk of automation were analysed to compare situation in European countries. The main objective is to analyze the magnitude of the impact of digital technologies on the labor market. The results point to technological progress, especially automation, which eliminates job positions by substituting low-skilled workers with machine learning robots. Government can ensure more balanced inclusive growth in the area of education. The change in the concept of teaching leads to higher qualifications and skills for future employees.
Keywords
Neoclassical Economics, Labor Market, Digitalization, Digital Technologies
Authors
Released
31. 12. 2022
Publisher
Sciendo
Location
Česká Republika
ISBN
1804-6746
Periodical
Danube
Year of study
13
Number
4
State
Czech Republic
Pages from
318
Pages to
330
Pages count
URL
https://sciendo.com/article/10.2478/danb-2022-0020
BibTex
@article{BUT180313, author="Kateřina {Petrová}", title="The Impact of Digital Technologies on Neoclassical Labor Market", journal="Danube", year="2022", volume="13", number="4", pages="318--330", doi="10.2478/danb-2022-0020", issn="1804-6746", url="https://sciendo.com/article/10.2478/danb-2022-0020" }