Integrated assessment of the attractiveness of the EU for intellectual immigrants: A taxonomy-based approach
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28120%2F22%3A63554499" target="_blank" >RIV/70883521:28120/22:63554499 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0040162522003298" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0040162522003298</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.techfore.2022.121805" target="_blank" >10.1016/j.techfore.2022.121805</a>
Alternative languages
Result language
angličtina
Original language name
Integrated assessment of the attractiveness of the EU for intellectual immigrants: A taxonomy-based approach
Original language description
This study proposes a method to comprehensively assess the factors that attract intellectual migrants to certain countries. The authors propose a system of pull factors that characterise the attractiveness of living conditions, intellectual employment, research and professional development to potential migrants. Evaluation of its impact on the main indicator of the attractiveness of countries for intellectual migrants ('brain gain' in the Global Talent Competitiveness Index) was conducted using the example of EU countries. To this end, the authors developed a two-stage evaluation procedure, which combines correlation and taxonomic analysis methods. The system of indicators formed was used to make an integrated assessment of the attractiveness of countries based on taxonomic analysis. This assessment helped identify the group of countries (Luxembourg, Ireland, Sweden, Finland, Denmark and the Netherlands) with the highest migration attractiveness in the EU. The proposed methodology allows us to group countries by the level of their attractiveness for intellectual migrants and assess the possibilities of regulating the institutional environment of migration processes.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50204 - Business and management
Result continuities
Project
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Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Technological Forecasting and Social Change
ISSN
0040-1625
e-ISSN
1873-5509
Volume of the periodical
182
Issue of the periodical within the volume
neuvedeno
Country of publishing house
US - UNITED STATES
Number of pages
10
Pages from-to
nestrankovano
UT code for WoS article
000833546000012
EID of the result in the Scopus database
2-s2.0-85132524938