Attracting the best talent in the context of migration policy changes: the case of the UK
Autor: | Anne E. Green, Terence Hogarth |
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Rok vydání: | 2017 |
Předmět: |
HD
Focus (computing) ComputingMilieux_THECOMPUTINGPROFESSION business.industry 05 social sciences 0507 social and economic geography Context (language use) Public relations 0506 political science Arts and Humanities (miscellaneous) Political science ComputingMilieux_COMPUTERSANDEDUCATION 050602 political science & public administration Social science business 050703 geography Demography |
Zdroj: | Journal of Ethnic and Migration Studies. 43:2806-2824 |
ISSN: | 1469-9451 1369-183X |
DOI: | 10.1080/1369183x.2017.1314609 |
Popis: | Employment projections and skills strategies emphasise the importance of (highly)-skilled labour for competitiveness. A strategic focus on ‘attracting the best talent’ globally may conflict with policies to ‘grow local talent’. This issue is considered in the UK context of a shift from a liberal immigration regime to a demand-led system characterised by increasing restriction, through adjustments to a points-based system to manage labour migration from outside the European Economic Area (EEA). The specific focus is on an annual limit on non-EEA labour migrants introduced in 2011 and tightening of eligibility criteria for entry of (highly)-skilled migrants, amid business’ concerns that this might stifle economic growth. Drawing on twenty employer case studies and literature on skills and migration policy, the article investigates the costs and implications for business in adhering and seeking to adapt to migration policy changes. Such changes pose administrative burdens on employers and limit business flexibility but associated monetary costs to businesses are difficult to quantify. Adaptation strategies and the impact of migration rule changes vary: some firms experience limited impact, some adjust their recruitment behaviour and some feel their underlying business rationale is threatened. Developing local talent is a partial long-term solution. |
Databáze: | OpenAIRE |
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