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REGINE Regularisations in Europe Final Report - European ...

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Regularisation Mechanism<br />

A regularisation mechanism is def<strong>in</strong>ed as any procedure other than a specific regularisation<br />

programme by which the state can grant legal status to illegally present third country nationals<br />

resid<strong>in</strong>g on its territory. In contrast to regularisation programmes, mechanisms typically<br />

<strong>in</strong>volve ‘earned’ legalisation (e.g. by virtue of long-term residence), or humanitarian<br />

considerations (e.g. non-deportable rejected asylum-seekers, health condition, family ties etc.),<br />

and are likely to be longer-term policies.<br />

1.6 Methodology<br />

Data have been collected and collated from the follow<strong>in</strong>g sources:<br />

o<br />

o<br />

o<br />

o<br />

o<br />

o<br />

exist<strong>in</strong>g comparative and national studies of regularisation programmes and policies<br />

statistical and legal data from state data sources, via the <strong>REGINE</strong> questionnaire<br />

questionnaire survey to non-governmental organisations<br />

<strong>in</strong>terviews with social actors active on the <strong>Europe</strong>an level<br />

survey of government positions, via the <strong>REGINE</strong> questionnaire<br />

external expert <strong>in</strong>put for <strong>in</strong>-depth study of seven selected countries<br />

We have sought to achieve overall breadth of analysis, by cover<strong>in</strong>g all EU Member States, <strong>in</strong> parallel<br />

with detailed case studies of five EU countries and two non-EU – namely, Spa<strong>in</strong>, Italy, Greece,<br />

France, UK, Switzerland, USA. Summary statistical and legal data for the EU (27), where available,<br />

have been collated <strong>in</strong> spreadsheet format for comparative reference.<br />

For the purposes of this report, we have developed several analytic <strong>in</strong>struments and gathered a broad<br />

range of data, <strong>in</strong>clud<strong>in</strong>g<br />

o<br />

o<br />

o<br />

o<br />

o<br />

A multi-faceted depiction of forms of illegality, as given <strong>in</strong> Table 1, allows for a more<br />

detailed breakdown of the problematic concept of ‘illegal stay’.<br />

Through question<strong>in</strong>g of Member States (us<strong>in</strong>g the <strong>REGINE</strong> questionnaire) alongside our own<br />

research, more precise data concern<strong>in</strong>g application numbers, actual grants of legal status and<br />

acceptance rates with<strong>in</strong> programmes have been assembled for 17 countries: these are<br />

summarised <strong>in</strong> Table 2 (§3) and represent a real advance on previously published data.<br />

For the first time, statistical data on regularisation mechanisms (as def<strong>in</strong>ed) are published for<br />

10 countries. Despite be<strong>in</strong>g <strong>in</strong>complete, and miss<strong>in</strong>g several countries, this also represents a<br />

real advance <strong>in</strong> knowledge.<br />

Utilis<strong>in</strong>g previously-compiled data on estimated irregular TCN stocks, supplemented by<br />

ICMPD evaluations for miss<strong>in</strong>g data, we classify each Member State as hav<strong>in</strong>g per capita<br />

stocks rang<strong>in</strong>g from low (less than 0.5% of total population) to very high (more than 2%).<br />

(See Table 5, (§3))<br />

Us<strong>in</strong>g the new data on programmes and mechanisms, we identify six ‘policy clusters’ with<br />

regard to regularisation, and suggest some broad def<strong>in</strong><strong>in</strong>g characteristics of the countries<br />

compris<strong>in</strong>g each cluster.<br />

9

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