Integrated assessment of the attractiveness of the EU for intellectual immigrants: A taxonomy-based approach
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Integrated assessment of the attractiveness of the EU for intellectual immigrants: A taxonomy-based approach
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Integrated assessment of the attractiveness of the EU for intellectual immigrants: A taxonomy-based approach
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
50204 - Business and management
Návaznosti výsledku
Projekt
—
Návaznosti
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Ostatní
Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Technological Forecasting and Social Change
ISSN
0040-1625
e-ISSN
1873-5509
Svazek periodika
182
Číslo periodika v rámci svazku
neuvedeno
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
10
Strana od-do
nestrankovano
Kód UT WoS článku
000833546000012
EID výsledku v databázi Scopus
2-s2.0-85132524938