THE SKILLS DIMENSION OF MIGRATION: ETF SURVEY RESULTS FROM ARMENIA AND GEORGIA

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CR RC THE SKILLS DIMENSION OF MIGRATION: ETF SURVEY RESULTS FROM ARMENIA AND GEORGIA Skills and Employment for Migrants Yerevan, 30 th October 2012 Heghine Manasyan, CRRC Special gratitude to Arne Baumann, ETF 1

Content EU & Armenia Mobility Partnership Agreement and the concept of Circular Migration Migration and Skills: survey overview Potential Migrants: some survey findings Return Migrants: some survey findings Summary and recommendations

Joint Declaration on a Mobility Partnership between the European Union and Armenia Signed on 27 October, 2011 in Luxembourg by the RA and 10 EU members http://www.mfa.am/en/press-releases/item/2011/10/27/a_eu/ The Declaration has 4 directions: I) Mobility, legal migration and integration II) Migration and development III) Fight against irregular immigration and trafficking in human beings, readmission, identity and travel documents' security, border management IV) Fight against irregular immigration and trafficking in human beings, readmission, identity and travel documents' security, border management

Cooperation in the framework of MP: State Migration Service & European Training Foundation Collection of selected labour market information and implementation of research, including elaboration and analysis of data, on migration and skills, facilitating recognition of qualifications and matching between skills and available jobs/vacancies, etc. Sharing experiences and exchange good practices in the field of employment and education policies.

Why ETF works on skills and migration Migration of people means also migration of skills: brain drain, brain waste, brain gain, brain circulation No universal solution: brain XXX depends on migration stage, country-specific conditions and individual migrant characteristics Skills can be part of the solution and facilitate a better migration outcome for all: e.g. a more efficient employment/skill-matching process All parties can win through more cooperation and better management of migration: win-win-win scenario ETF aims at providing evidence and policy instruments on education and skills for improving the outcome of labour migration 5

ETF Migration and Skills Surveys To better understand the links between migration and skills through collecting evidence from the field To learn about migration and return experiences of migrants and their families To identify the needs for support for legal migration and circular migration (pre- and post-migration) Migration& skills surveys in Albania, Egypt, Moldova, Tunisia and Ukraine (2007-2009) New migration& skills surveys in Armenia, Georgia and Morocco (2011-2012) to support EU mobility partnerships 6

ETF Migration & Skills Surveys: Methodology Target groups included: 4000 respondents in each country Potential migrants (2600 respondents) Returning migrants (1400 respondents) Sampling methods applied: stratified random sample for potential migrants snowball technique for returning migrants The sample is largely representative with respect to: rural/urban distribution gender (male and female) education levels (low: ISCED 1-2, medium: ISCED 3-4, high: ISCED 5-6) 7

ETF Migration & Skills Surveys: Definitions Potential migrant (those who intend and not intend to migrate): Anyone who is between 18-50 years old, lived in the country at the moment of the interview and was available for being interviewed. The survey on potential migrants is representative of the young adult population (18 50 years), so those in the same age group who are not actively seeking to migrate are included in the survey as control group. Returning migrant (both short and long-term migrants): Anyone who left the survey country aged 18 or over, lived and worked abroad continuously for at least three months, came back to own country within the last ten years, now present and available for interview. 8

Survey sample of potential migrants Sample description ARMENIA GEORGIA Sample size 2630 persons 2883 persons Proportion women 64% 61% Mean age 33.2 years 34.7 years Location: capital 37.8% 25.5% Other urban 31% 27.4% Rural share 31.3% 47.1% Education level before migration Upper secondary general (37%), university (31%), post-secondary vocational (19.4%), upper secondary vocational (6%), lower secondary (6%) University educated (32%), upper secondary general (29%), upper secondary vocational (15%), lower secondary (12%), postsecondary vocational (11%) 9

Prospective migrants: intentions and likelihood to migrate Potential migrants: intention and likelihood to migrate Likelihood captures the probability that the intention to migrate translates into action; it takes account of the time horizon given for migrating (within 6 months or within 2 years), the ability to finance the move, knowledge of the destination country and its language, and possession of the required documents. 10

Main push factors for migration ARMENIA Main push factors for migration (%) GEORGIA Main push factors for migration (%) 60 50 52.6 60 50 40 40 41.4 37.3 30 30 20 14.8 14.5 20 10 10 9.0 0 Have no job/cannot find job To improve standard of living Unsatisfactory wage/career prospects in home country 0 To improve standard of living Have no job/cannot find job Unsatisfactory wage and career prospects 11

Georgia Armenia Potential migrants by gender Prospective migrants and non-migrants by gender (%) Non-migrants 44.3 55.7 Prospective migrants 57.8 42.2 Non-migrants 44.1 55.9 Prospective migrants 56.3 43.7 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% % of males % of females 12

Georgia Armenia Potential migrants by age groups Prospective migrants and non-migrants by age groups (%) Non-migrants 44.9 23.1 32.1 Prospective migrants 54 19.4 26.6 Non-migrants 34.2 32.1 33.7 Prospective migrants 41.8 32.3 25.8 0% 20% 40% 60% 80% 100% 18-30 31-40 41-50 13

Georgia Armenia Potential migrants by education levels Prospective migrants and non-migrants by education level (%) Non-migrants 5.9 63.3 30.8 Prospective migrants 9.1 61.3 29.6 Non-migrants 12.2 53 34.8 Prospective migrants 14.9 57.9 27.2 0% 20% 40% 60% 80% 100% Low (ISCED 0-2) Medium (ISCED 3-4) High (ISCED 5-6) 14

Georgia Armenia Potential migrants by working status Prospective migrants and non-migrants by working status (%) Non-migrants 33.9 66.1 Prospective migrants 31.1 68.9 Non-migrants 27.9 72.1 Prospective migrants 25 75 0% 20% 40% 60% 80% 100% Working Not working 15

ARMENIA Prospective Migrants Russia: 60.4% USA: 10.5% France: 7.1% 70 60 50 40 30 20 10 0 11.9 Most Likely Destination by Education (%) Armenia 40.3 2.9 8.2 7.5 3.7 3.1 0.2 0.3 Russian Fed. USA France Low Medium High ARMENIA Three Main Destination by Education Level (%) ARMENIA Returning Migrants Russia: 85.2% USA: 2.4% Ukraine: 1.8% 90 80 70 60 50 40 30 20 10 0 16.4 56.9 11.8 1.9 0.3 0.5 1.4 0.1 Russian Fed. USA Ukraine Low Medium High 16

GEORGIA Prospective Migrants Turkey: 14.3% USA: 14.2% Italy: 13.0% GEORGIA Returning Migrants Turkey: 31.5% Russia: 29.0% Greece: 12.7% 17

Destination Country: EU share by gender Total EU share as a destination in Georgia: returnees (24%), prospective migrants (44%) Total EU share as a destination in Armenia: returnees (7%), prospective migrants (20%) 18

Returnees: survey sample of returning migrants Description ARMENIA GEORGIA Sample size 1400 persons 1401 persons Proportion women 13.3% 40.7% Mean age 36 years 41 years Location: capital 37.7% 21.0% Other urban 29.6% 21.6% Rural share 32.7% 57.4% Education level before migration Upper secondary general (42%), university (22%), post-secondary vocational (14%), lower secondary (12%), upper sec. vocational (9%) Upper secondary general (41%), university (29%), upper secondary vocational (18%), post-secondary vocational (10%) 19

Reasons of return to home country 20

Returnees: main sectors of work abroad Armenia (male): construction (58.6%), commerce (9.5%), manufacturing (8.4%), transport (7.8%), repairs (3.9%) Armenia (female): commerce (24.2%), manufacturing (17.6%), petty trade (12.1%), hospitality (8.2%), domestic service (8.2%), other (15.4%), construction (6%) Georgia (male): construction (42.3%), manufacturing (9.7%), agriculture (7.7%), commerce (7.6%), transport (7%), petty trade (5.6%), personal service (4.7%) Georgia (female): domestic service (50.5%), petty trade (10.6%), hospitality (8.2%), personal service (6.3%), manufacturing (6.5%), commerce (4.1%) 21

Returnees: correspondence of work with education level 22

Returnees: correspondence of work with education level 23

Status while Working Abroad Armenia (%) Georgia (%) Work permit 20 5 Residence permit 12 21 Social security coverage 2 3 Work contract 14 14 24

Georgia Armenia The use of pre-departure training The use of pre-departure training (%) Prospective migrants 29.7 70.3 Returning migrants 1.9 98.1 Prospective migrants 40.1 59.9 Returning migrants 5.9 94.1 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Yes No 25

Use of Remittances for Development at Home Use of remittances Armenia (%) Georgia (%)... for education of children 0.6 14.2 for education of others than children (respondent, spouse of respondent etc.) 8.3 2.1 for business activity 0.2 0.5 for living expenses/consumption 95.7 97.0 26

Portability of Social Rights and Return Outcome Do you have pension or other social benefits from your work abroad? Return Outcome (composite indicator using several variables) Armenia Georgia Yes (%) No (%) Yes (%) No (%) Highly successful 6.3 0.5 0 0.6 Successful 78.1 55.0 70.0 43.9 Neither 15.6 42.3 30.0 47.2 Unsuccessful 0 2.2 0 8.3 Highly unsuccessful 0 0 0 0 Total 100 100 100 100 27

Returnees: most helpful experience abroad Returnees: most helpful experience abroad (%) 100% 90% Entrepreneurial skills 80% 70% Skills related to workplace organization, culture and work ICT skills 60% 50% 69.0 47.7 Academic skills 40% Social skills 30% Vocational/technical skills 20% 10% 18.0 24.9 Language skills 0% Armenia Georgia 28

Returnees: work status after return 29

Returnees: awareness of return schemes Awareness of return schemes (%) Armenia 1.2 98.8 Georgia 1.8 98.2 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Aware Not aware 30

Returnees: % of employer and self-employed % of employers and self-employed among returnees 25 20 21.0 20.2 15 10 5 6.2 8.4 0 Georgia Armenia Amongst returning migrants who work Amongst all returning migrants 31

Tendency to re-migrate among returnees 32

Returnees: duration and frequency of migrations DURATION OF MIGRATION ARMENIA GEORGIA Average time per migration 9 months 17 months Average time spent in total 19 months 22 months NUMBER OF MIGRATIONS ARMENIA GEORGIA 1 time 59% 77% 2 times 18% 14% 3 times 9% 6% 4 times 5% 2% 5+ times 9% 1% 33

Summary of findings 36% of 18-50 age group in Armenia and 31% in Georgia intend to migrate, but the likelihood decreases to 12.6% and 11.4% when controlled for actual ability to migrate Reasons for migration are all economic lack of jobs, improving standards of living, unsatisfactory wage and career prospects at home while reasons for return are typically family related Pre-departure training: high interest from potential migrants (30-40%), but very little training received in reality (6% in Georgia, 2% in Armenia) Most migrants work as unskilled/skilled workers, irrespective of their education level; skills mismatch increases with education and is higher for women Post-return work: only 42% in Armenia and 30% in Georgia work after return; high tendency to re-migrate again: 68% in Armenia and 48% in Georgia Remittances are used only to a small degree for education and business investments Reintegration programmes: awareness of return support and training schemes is very limited among returnees (and participation miniscule) Portability of social rights improves the return outcome of returning migrants 34

Policy Implications Among others, the findings suggest: Effective pre-departure training can be expanded considerably and address issues such as language skills, vocational qualifications, and information about rights & obligations while working abroad. Better information about available employment abroad can help to reduce skills mismatch in destination countries; this can be achieved through building up of cross-national placement services (e.g. EURES in the EU). Comprehensive recognition of skills/qualifications in destination countries will allow to reduce brain waste by better using the skills of migrants. The potential of returning migrants for development of home countries should be used through adequate return support schemes, including through validation of the skills acquired abroad, effective placement services, increased use of remittances for business investment and support of entrepreneurial potential among returnees. Strengthening of legal migration needs to pay attention to the motivations behind migration and return, and must aim at providing legal ways for migrants to easily go back and forth between home and destination country. In light of its positive impact, the portability of social rights needs to become a mainstay of agreements between home and destination countries. 35

Thank you!!!! P.S. Other recent studies for your interest: Report: Social Impact of Emigration and Rural-Urban Migration in Central and Eastern Europe (2012) http://ec.europa.eu/social/keydocuments.jsp?pager.offset=0&langid=en&mode= advancedsubmit&policyarea=0&subcategory=0&year=0&country=0&type=0&a dvsearchkey=emigrationmigrationcentraleasterneurope&orderby=docorder 36