Full-text resources of CEJSH and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

Results found: 3

first rewind previous Page / 1 next fast forward last

Search results

Search:
in the keywords:  LABOUR DEMAND
help Sort By:

help Limit search:
first rewind previous Page / 1 next fast forward last
1

Prognozy podaży i popytu na pracę w przemyśle włókienniczym i odzieżowym w województwie łódzkim

100%
Rogozińska-Pawełczyk A.
Optimum. Studia Ekonomiczne
|
2013
|
issue 6(66)
148-158
EN
This paper aims to analyse the changing labour market in the textile and clothing sector and to predict the future prospects of the industry’s professionals on the regional labour market. The author reviews the current and forecasted (for 2025) supply and demand for the qualifications and skills of the graduates from the region’s vocational schools specialising in textiles and clothing.
2

PROBLÉM PREKVALIFIKOVANOSTI AKO INDIKÁTOR SITUÁCIE PONUKY A DOPYTU NA TRHU PRÁCE

88%
Štefánik M.
Ekonomický časopis (Journal of Economics)
|
2010
|
vol. 58
|
issue 4
327-343
EN
Submitted article deals with the problem of over-education. It offers a brief overview of existing explanations. It introduces a method of over-education measurement based on internationally used classifications ISCO and ISCED. The article brings also some evidence on over-education measured by this method. The analysis is focused on over-education of workers with a degree, which becomes especially interesting in the light of the tertiary education expansion. The question is, in what sense does over-education refer to the supply-demand relations on the labour market. International comparisons of over-education in European countries give some partial answers.
3

AUTOMATION AND LABOUR DEMAND IN EUROPEAN COUNTRIES: A TASK-BASED APPROACH TO WAGE BILL DECOMPOSITION

75%
Lábaj M., Vitáloš M.
Ekonomický časopis (Journal of Economics)
|
2020
|
vol. 68
|
issue 9
895 – 917
EN
To understand the evolution of labour demand in European countries in the context of automation and other emerging technologies, we apply the decomposition developed by Acemoglu and Restrepo (2019) to European data. At the centre of this framework is the task content of production – measuring the allocation of tasks to factors of production. By creating a displacement effect, automation shifts the task content of production against labour, while the introduction of new tasks in which labour has a comparative advantage increases the labour demand via the reinstatement effect. Contrary to the US experience, in a group of 10 European countries, the displacement effect of automation was completely counterbalanced by technologies that create new tasks in which labour has a comparative advantage. Furthermore, our cross-country comparison reveals a substantial variation across countries. The cumulative change in the task content of production ranges from 6.2% in the United Kingdom to a strong negative effect, namely –7.6%, in Sweden. A part of the differences can be explained by the rate of adoption of industrial robots. We document a strong unconditional relationship between the change in robot density and the displacement effect. However, differences in the reinstatement effect remain unexplained.
first rewind previous Page / 1 next fast forward last
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.