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Why do we know very little about international migration in general? There is broad consensus that the statistics on international migration are 'poor‘ Emigration statistics in countries of origin, if available: incomplete and inaccurate The data published by international institutions provide very partial and irrelevant information Many researchers noted that data on international migration are very scarce and incomplete, which is a major obstacle for the study of migration dynamics
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International migration of Moroccan women: An underestimated component
Abdeslam MarfoukUniversité Libre de Bruxelles (ULB)
Moroccan Women from Here and Elsewhere Change, Challenges and Pathways
Council for the Moroccan Community Abroad (CCME)
December 19-20, 2008 Marrakesh
Why do we know very little about international migration in general?
Number of international migrants in the world has increased by 145% between 1965 and 2005 / 3 millions per year: 78 millions in 1965 - 191 millions in 2005 (United Nations)
Official transfers sent by migrants from developing countries are estimated at $ 251 billion in 2007 (World Bank Prospects Group)
Transfers received by developing countries have more than
doubled since 2000 (+118%)
International migration meets a growing interest (policy makers, researchers, international institutions and the media), especially the phenomenon of brain drain and its impact on developing countries
Why do we know very little about international migration in general?
There is broad consensus that the statistics on international migration are 'poor‘
Emigration statistics in countries of origin, if available: incomplete
and inaccurate
The data published by international institutions provide very partial and irrelevant information
Many researchers noted that data on international migration are very scarce and incomplete, which is a major obstacle for the study of migration dynamics
Why do we know very little about international migration in general?
More important deficit of data with regard to structure by gender and by level of qualification
Consequences:
Underestimating the role of women in international migration and the impact of migration of women on countries of origin
Underestimating the role of the diaspora as actors for developing countries of origin
Why do we know very little about international migration in general?
International institutions (OECD and World Bank), and researchers have made efforts to develop and disseminate new databases
Partially filling in the gaps in this area Promoting research and helping improve our
knowledge about some aspects of international migration
Docquier, Lowell & Marfouk (2007) / Docquier & Marfouk (2004, 2006)
New database on international migration by gender and levels of education (2004, 2006)
Methodological approach? Insofar as the emigration statistics are lacking or less accurate, the
number of emigrants can be known only through the statistics on immigration in host countries
Step One: Number of migrants Data collection in the 30 OECD countries, 2 periods (1990 and 2000), by
country of origin 3 levels of education (low skilled, fairly skilled and skilled) Step two: rate of emigration by level of qualification
- Exodus of 1,034,373 skilled people from India (4% of the national skilled workforce) - Emigration of 4,448 skilled people from the Gambia (68% national skilled workforce)
Immigration structure in the OECD zone
Emigration structure Labor force structure
Year 2000 Total Emigrants
(thousands)
In % of the total
Skilled Emigrants
(thousands)
In % of the total
Share of skilled among
emigrants in %
Share of skilled in %
World 58,246 100 20,442 100 35 11 Africa 4,352 8 1,373 7 32 4 Sub-Saharan Africa 2,137 4 934 5 44 3 Asia 15,198 26 7,002 34 46 6 Europe 21,170 36 6,864 34 32 18 Latin America and Caribbean 13,960 24 3,682 18 26 12 South-Eastern Europe 1,849 3 386 2 21 14 High income countries 19,717 34 7,911 39 40 30 Developing countries 37,289 64 12,339 60 33 6 Upper Middle income countries 15,339 26 3,729 18 24 13 Lower Middle income countries 15,505 27 5,691 28 37 5 Low income countries 6,445 11 2,918 14 45 4 Least developing countries 2,364 4 813 4 34 2 MENA region 3,587 6 1,125 6 31 9 Arab countries 3,215 6 869 4 27 8 The world is the sum of developing countries, high-income countries, and emigrants who did not reported their country of birth. Immigrant and labor force correspond to individuals aged 25 and over.
Source: Docquier, Lowell & Marfouk (2007)
Destination of migrants in %, by level of qualification, 2000
Europe (22)USA
AustraliaCanada
Other OECDcountries
Low skilled
Highly skilled
24%
51%
8%13%
4%
48%
37%
6%
5% 4%0%
10%
20%
30%
40%
50%
60%
Source: Docquier, Lowell & Marfouk (2007)
Emigration rate by level of qualification, in %, 2000
2000 Emigration rates Region of origin Global Low-skilled Highly skilled
World 1.8 1.3 5.5
Africa 1.4 0.9 10.4 Asia 0.8 0.4 5.7 Europe 4.1 4.3 7.2 Oceania 4.3 2.5 7.1 America 3.3 4.0 3.3 High income countries 2.9 3.6 3.8 Developing conuntries 1.5 1.0 7.3 Upper Middle income countries 3.5 3.6 6.2 Lower middle income countries 1.3 0.9 8.1 Low income countries 0.7 0.3 7.5 Least developing countries 0.9 0.5 12.3 South-Eastern Europe 11.1 11.0 15.5 Sub-Saharan Africa 0.9 0.4 12.3 LAC region 5.3 4.1 11.0 MENA region 2.7 2.0 9.1 Arab countries 2.6 2.1 8.2 OECD countries 3.7 5.2 4.1 Small island developing states 13.8 9.0 42.4 Landlocked developing countries 1.0 0.5 6.0 Large countries 0.9 0.6 3.0
Source: Docquier, Lowell & Marfouk (2007)
Comparison of emigration rates by level of qualification, in %, 2000
Highly skilled emigration rate = 2.54 x low skilled emigration rateR 2 = 0.33
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
0% 10% 20% 30% 40% 50% 60% 70% 80% 90%
Low skilled workers emigration rate in %
Hig
hly
skill
ed w
orke
rs e
mig
ratio
n ra
te in
% 45 degree line
Source: Docquier, Lowell & Marfouk (2007)
Emigrants (in absolute values) and emigration rates (%) of skilled people, 2000
155 994
6%
15%13% 19%
83%85%
27%
4%
15%
4%
14%
0
200,000
400,000
600,000
800,000
1,000,000
1,200,000Ph
ilipp
ines
Indi
a
Mex
ico
Chi
na
Viet
nam
Pola
nd
Cub
a
Iran
Jam
aica
Rus
sia
Ukr
aine
Col
ombi
a
Paki
stan
Turk
ey
Sout
h A
fric
a
Peru
Rom
ania
Serb
ia &
Mon
tene
gro
Indo
nesi
a
Bra
zil
Dom
inic
an R
ep.
Hai
ti
Egyp
t
Mor
occo
Nig
eria
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
Highly skilled immigrants (numbers)Emigration rate
Source: Docquier, Lowell & Marfouk (2007)
Proportion of women in total immigration, in %
0
10
20
30
40
50
60
2005 1960
Source: Nations Unies
Aspect of literature in favour of migration of men
Aspect of literature in favour of migration of men enhanced clichés and stereotypes
Participation of women in international migration is insignificant
Women are “passive migrants” who left the countries of origin only for the sake of family gathering (as wife, mother or daughter of male migrants)
Data show that a significant proportion of women emigrate independently: Pearce (2006)
Proportion of women in Moroccan emigration, by region of destination, 2000
Source: Docquier, Lowell & Marfouk (2007)
42%
38%
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
50%
Total Highly skilled
Ratio of the skilled among the emigrants of Moroccan origin, by gender and country of
residence, 2000
68%
72%
65%
58%
19%
13%
21% 21%
10%
43%
63%65%
61%
54%
13%10%
7%
39%
9%
14%11% 10%
20%20%
13%10%
0%
10%
20%
30%
40%
50%
60%
70%
80%
Europe
North A
merica
Canad
aUSA
OECD
Austalia
Autriche
France
Sweden
Switzerl
and
Spain
Danem
ark UK
TotalWomen
Source: Docquier, Lowell & Marfouk (2007)
Comparison of emigration rates of skilled people, by gender, 2000
20%
18%
0%
5%
10%
15%
20%
25%
Women brain drain Men brain drain
Source: Docquier, Lowell & Marfouk (2007)
Women brain drain= 1.1783 x males brain drainR20.88 =
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Men's brain drain in %
Wom
en's
bra
in d
rain
in %
45 degree line
Comparison of emigration rates of the skilled people, by gender, 2000
Source: Docquier, Lowell & Marfouk (2007)
What future trend of brain drain? variations 1990-2000, in %
Source: Docquier, Lowell & Marfouk (2007)
45%78%
0% 20% 40% 60% 80% 100% 120% 140%
World
Eastern Africa
South-Eastern Europe
East Asia
Northern africa
Southern America
Subsahran Africa
South Asia
Western Africa
Southern africa
Middle high income countries
Developing countries
Least developing
Low income
Morocco
Low-skilled Highly skilled
What future trend of brain drain?
5%5%
4%
6%
5%
7%
7% 7% 7%7%
6%
5%5%
5%
5%
0%
1%
2%
3%
4%
5%
6%
7%
8%
Europe North Ameica Canada USA OECD
Total women Skilled women Skilled men
Source: Docquier, Lowell & Marfouk (2007)