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International Organization for Migration (IOM)

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Low-skilled migration candidates have fewer in<strong>for</strong>mation tools at their disposal<br />

compared with their more skilled counterparts. Thus, they may lack digital literacy<br />

or other skills to use the digital media to connect with prospective employers abroad.<br />

On the other hand, they are generally less sought after by big firms, compared with<br />

the highly skilled, and their networks are not as broad as those of more qualified<br />

migrants. As a general rule, low-skilled migrants mostly rely on personal and social<br />

co-ethnic networks (diaspora) to find employment abroad. If, on the one hand, the<br />

use of in<strong>for</strong>mal, ethnic networks has the advantage of offsetting the comparative<br />

in<strong>for</strong>mation and language deficiencies of the low-skilled, generally without<br />

involving fees, on the other hand this practice entails high risks of creating and<br />

replicating ethnic segmentation of the labour market. The use of ethnic networks <strong>for</strong><br />

international employment match generally has the effect of clustering workers from<br />

each migrant group in specific occupations in their country of destination, regardless<br />

of their actual skills and competences, thus hampering the possibilities of professional<br />

mobility <strong>for</strong> those migrants, also as a result of the slower acquisition of countryspecific<br />

skills. Analysis of the occupational progress and earning attainments of<br />

migrants in Germany as compared with the native population (Constant and Massey,<br />

2005) has identified a high degree of initial occupational segmentation <strong>for</strong> migrants,<br />

which is presumably driven by their recourse to ethnic networks when looking <strong>for</strong><br />

employment opportunities. This results in little job mobility and a widening of the<br />

status gap between Germans and immigrants over time. From the employers’ point<br />

of view, hiring through ethnic networks might not be the most cost-efficient strategy<br />

in terms of productivity outcomes, since it implies a recruitment process not entirely<br />

based on the candidates’ competences.<br />

When personal and ethnic networks and migration chains are not sufficient <strong>for</strong><br />

prospective low-skilled migrants to find employment abroad, they generally have<br />

recourse to the services of private intermediation agencies, as is notably the case<br />

<strong>for</strong> seasonal employment abroad. In Poland, results of studies carried out among<br />

seasonal workers from Ukraine demonstrated that most of them found their job<br />

through friends’ recommendations (62%) and via intermediaries (21%), who very<br />

rarely have registered job agency activities – the so-called “drivers” (Chapter 8).<br />

Ukrainians in Poland are largely employed in the agricultural and horticultural<br />

sectors, and Ukrainian women in care occupations in private households.<br />

Vietnamese, who are established in big cities, are mainly found working in the<br />

retail sector (textiles). There is evidence that the prominence of in<strong>for</strong>mal matching<br />

channels is leading to the establishment of immigrant clusters in the country,<br />

both from a geographical and from an occupational perspective. The dominant<br />

pattern of in<strong>for</strong>mal channels <strong>for</strong> employment matching in Poland is reported to be<br />

a consequence of the absence of public or publicly supported non-profit initiatives<br />

to facilitate the interaction between labour demand from Polish firms and migrant<br />

labour supply.<br />

NGOs and charitable organizations established in both the countries of origin and<br />

destination of migrants may also act as facilitators of international employment<br />

matching <strong>for</strong> the low- and medium-skilled. This pattern is observed in Italy,<br />

eXecutIve summAry – SUMMARY OF FINDINGS<br />

39

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