INTERNATIONAL MIGRATION OF HIGHLY SKILLED WORKERS TO THE EU COUNTRIES
Maintaining the EU's position in the world is preconditioned (among other things) by sustainable economic growth in its member states. Currently, all the EU countries are facing the effects from the rapidly aging population, which is one of the most serious obstacles to sustainable economic growth. In the short term, it may be possible to eliminate the effects of aging population through better use of available human resources. However, in the longer perspective, this will not be enough to counter unfavorable demographic trends. In this context, it will be necessary to increase the share of the economically active population, and this can be partially done through international migration of highly qualified workers. However, our study shows that the level of immigration of highly qualified workers remains modest in most of the EU countries. In this paper, we are analyzing the causes behind the current situation and are also trying to formulate recommendations for migration policy focused on highly skilled labor. At the same time, we are aware that, while international migration contributes to the accumulation of human capital, it cannot by itself solve the structural issues of European labor markets.
Autor, D., Levy, F., Murnane, R. J. (2013). The Skill Content Of Recent Technological Change: An Empirical Exploration. Quarterly Journal of Economics, 118.
Cedefop (2013a). Skills for a Low Carbon Economy: The Role of VET in a Sustainable Energy Scenario. Cedefop Research Paper, 34. Office des publications de l´Union européenne, Luxembourg.
Cedefop (2013b). Future Skill Supply and Demand in Europe: Forecast 2012. Cedefop Research Paper, 26, Office des publications de l´Union européenne, Luxembourg.
Dumont, J.C. & Monso, O. (2017). Adéquation entre formation et emploi: un défi pour les immigrés et les pays d´accueil. Perspectives des migrations internationales 2017, éditions OCDE, Paris.
Dustman, C. & Van Soest, A. (2001). Language Fluency and Earnings: Estimation with Misclassified Language Indicators. Review of Economics and Statistics, 83,4: 663-674.
Dustman, C. & Fabbri, F. (2003). Language Proficiency and Labour Market Performance of Immigrants in the United Kingdom. Economic Journal, 113, 489: 695-717.
Goos, M., Manning, A., Salomons, A. (2014). Explaining Job Polarization: Routine – Biased Technological Change and Offshoring. American Economic Review, 104,8: 2509-2526.
Michaels, G., Natraj, A., Van Reenen, J. (2014). Has ICT polarized skill demand? Evidence from eleven countries over 25 years. Review of Economics and Statistics. 96,1: 60-77.
Nielsen, C.P. (2011). Immigrant Over-education: Evidence from Denmark. Journal of Population Economics, 24. 499-520.
Nordin, M. (2017). Immigrants Returns to Schooling in Sweden. IFAU, Working Paper,12, IFAU.
Přívara, A., Rievajová, E., Yüceşahin, M. (2019). Labour Market Disadvantages Faced by Migrant Workers from Czech Republic, Hungary, and Slovakia in Britain. Migration Letters, 16,4: 585–594.
Přívara, A., Rievajová, E. (2019). Destination Marketing and Policies Attracting High-Skilled Individuals in Germany and Singapore. Transitional marketing journal, 7,2: 229–244.
OCDE (2019). Perspectives des migrations internationales de l´OCDE 2019. Éditions OCDE, Paris.
Sattinger, M. (2013). Qualitative Mismatches. Foundation and Trends in Microeconomics, 8,1-2: 1-168.
UN (2019). World Population Prospects. United Nations.
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Rajabhat University, Bangkok, Thailand