YOUTH EMPLOYMENT IN SUB-SAHARAN AFRICA
Oct 19, 2014
YOUTH EMPLOYMENT IN SUB-SAHARAN AFRICA
Dimensions of the employment challenge
• The demographics, which created the youth bulge that is emerging onto African labor markets but could, in the longer term, stimulate economic growth and development.
• The structure of economies and of recent economic growth, which failed to increase the supply of the wage jobs most desired by the youth—and the prospects for reversing this trend in the future.
• The massive expansion in access to education, which is adding many years of schooling, but much less learning and skills, to Sub-Saharan Africa.
• The aspirations of youth and policy makers, which focus on the wage employment sector at the expense of more immediate opportunities in the family farming and household enterprise sectors.
Message of the reportUnemployment (of urban educated graduates who want to work in the wage sector) is just the tip of the iceberg
Solving the youth employment problem is about pathways for all youth into productive work in the private sector: in agriculture, household enterprises, as well as modern wage enterprises sector
4
The Opportunity and Challenge: Africa’s Youth SSA Population 2015, 2035 South Asia Population 2015, 2035
0-4
10-14
20-24
30-34
40-44
50-54
60-64
70-74
80+
-100 -80 -60 -40 -20 0 20 40 60 80 100
Male 2015 Female 2015 Male 2035
Female 2035
Population in millions
0-4
10-14
20-24
30-34
40-44
50-54
60-64
70-74
80+
-100 -80 -60 -40 -20 0 20 40 60 80 100
Male 2015 Female 2015 Male 2035
Female 2035
Population in millions
Source: United Nations, Department of Economic and Social Affairs, Population Division (2011). World Population Prospects: The 2010 Revision. http://esa.un.org/wpp/Excel-Data/population.htm
Over the past two decades, agriculture’s share in GDP contracted in Africa, but manufacturing did not replace it
1990 2010 1990 2010 1990 2010Sub-Saharan Africa East Asia South Asia
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Low Income
Agriculture Industry (exc. Manufacturing)Manufacturing Services, etc.
1990 2010 1990 2010 1990 2010Sub-Saharan
AfricaEast Asia South Asia
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Low-Middle Income
Agriculture Industry (exc. Manufacturing)Manufacturing Services, etc.
The share of employment in agriculture contracted in many fast growing economies
Nigeria Rwanda Ghana Uganda Tanzania Senegal Cote d'Ivoire
-25.0-20.0-15.0-10.0
-5.00.05.0
10.015.020.0
Agriculture Private wage Household enterprises
Perc
enta
ge p
oint
cha
nge
in
empl
oym
ent s
hare
But agriculture still employs the majority of the labor force
Low Income Lower-Middle Income
Resource Rich Upper-Middle Income
Total
183 m 40 m 150 m 21 m 395 m
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Agriculture HE Wage Industry Wage Services Unemployed
Labo
r For
ce D
istrib
ution
15-
64
Wage employment remains low in sub-Saharan Africa
Especially in industry and compared with Asian countries
8
0 500 1,000 1,500 2,000 2,500 3,000 3,500 4,000 4,5000%
2%
4%
6%
8%
10%
12%
14%
16%
18%
20%
BGDBOL
KHM
MNG
NIC
PHI
VNM
LAO
SLENER BFATCDCOD CIV
LBR COMMWI
RWA
KEN
COG AGONGACMRSENGHA
LSO
STP
SWZ
Sub-Saharan Africa low and low-middle income Comparators
GDP per capita, 2010 (current U.S. dollars)
Wag
e In
dust
ry e
mpl
oym
ent,
2010
(per
cent
of t
otal
)
Household enterprises Agriculture
Industry ServicesLow Income Sub-Saharan Africa 2.3 10.0 18.3 69.4
Lao PDR 5.4 8.1 19.0 67.5Bangladesh 10.8 14.9 27.7 46.6Cambodia 11.1 12.2 21.0 55.7
Low-Middle Income Sub-Saharan Africa 2.0 11.9 31.1 55.1Vietnam 14.3 17.5 19.1 49.1Nicaragua 13.3 30.6 22.9 33.2Philippines 12.6 36.1 19.5 31.8Bolivia 12.6 30.4 28.1 28.9Mongolia 5.9 33.4 16.0 44.7
Sources: I2D2; and Sub-Saharan Africa estimation from projections.
Wage
Employed Population 15–64, 2010
After a long transition to work, youth end up in the same sectors as adults – can they be more productive?
15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 340
10
20
30
40
50
60
70
80
90
100
Agriculture HE Wage
Age
15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 340
10
20
30
40
50
60
70
80
90
100
Agriculture HE Wage
Age
Rural Urban
10
Will this change in the future? Where will the new jobs be? (base case)
Number of new jobs by sector Distribution of new entrants by sector
125 million new jobs for 170 million new entrants
0
50
100
150
200
250
300
Agriculture Householdenterprise
Wageservices
Wageindustry
Mill
ions
New Jobs 2020
37%
38%
21%
4%
Agriculture Household enterprise
Wage services Wage industry
Framework for analyzing the youth employment challenge: Productivity and Pathways• Focus on the private sector:
• Agriculture• Household enterprises (HEs)• Modern wage employment (where the majority want to work)
• Two policy dimensions • Skills• Business Environment
• Two time dimensions• Address immediate constraints for quick wins• Address medium term constraints for game changers
Education determines opportunities…
Agriculture Household EnterpriseWage with no contract Wage with contract Total0
20
40
60
80
100
4232
126
35
22
13
20
8
18
21
27
25
14
22
16
28
43
73
24
No Education Primary Incomplete Primary Complete Secondary +
Per
cen
t
Education Profile of Workers in each Sector
But quality is key, and this is lagging, so benefits are not realized(Percentage of students who cannot read a single word of a simple paragraph, 2010)
0102030405060708090
Ghana Kenya Liberia Mali Senegal Senegal The Gambia
Uganda
Grade 3 End Grade 3
End Grade 2
End Grade 2
Grade 3 End Grade 3
End Grade 2
End Grade 2
Building skills is a medium term agenda, but reform has to start now• Countries can not get a quick win through TVET–
foundation has to be better education• Cognitive and behavioral skills for productivity
• For agriculture, build skills through extension, with programs targeted at youth
• Build on existing private approaches (e.g. apprenticeships) to help youth enter HE sector productively; address multiple constraints
• For entrance into wage jobs, use post-school TVET very selectively, use PPP
In agriculture, youth need land and support to make it productive
Land ownership by age group
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60+0
10
20
30
40
50
60
70
80
Malawi Tanzania Uganda
Age
Perc
ent
Opportunities and constraints
• Growing demand for food produced on Africa’s farms – domestically and exports
• Youth can be early adopters of new technology if it is available
• Credit• Rural infrastructure• Land markets• Private investment in agro-
processing• Producer organizations
HEs are not SMEs – they need their own approach, and youth need support to seize opportunities
Most enterprises are family operations
Self
Empl
oyed
Self
Empl
oyed
with
Fam
ily H
elpe
rs
With
1-4
Em
ploy
ees
5 + E
mpl
oyee
s0
10
20
30
40
50
60
70
80
90
100
Youth struggle to start a business
15 - 1
9
20 - 2
4
25 - 2
9
30 - 3
4
35 - 3
9
40 - 4
4
45 - 4
9
50 - 5
4
55 - 5
9
60 - 6
5
66+
0
5
10
15
20
25
30
35
Distribution of HE owners
Share of age group being in HE owners
%
Grow HE employment for youth through strategy to develop new businesses
• Need an inclusive strategy – at national and local level• Urban authorities should support sector, provide locations
to work and sell• Cluster for productivity, integrate into local development projects
• Expand infrastructure for productivity, profitability• Voice and association – Ghana is a good example
Financial inclusion for family farms and enterprises, as well as households
African youth save, but not in banks
LI LMI UMI LI LMI UMISSA Rest of the World
0
10
20
30
40
50
60
70
80
90
100
Formal Informal/Club Other
Indi
vidu
als
15-
24 (%
)
• Households, and farm or business finances comingled
• Households need place to save and to get credit
• Youth need savings to start a business or buy inputs for the farm, and a place to safeguard profits
• Mobile money shows promise but need better regulations
• Informal savings groups are filling the gap, especially in rural areas
A manufacturing strategy won’t solve today’s youth employment, but it will help the next generation
Manufacturing employment has grown slowly
1990
2007
1990
2007
1980
2003
1990
2007
1990
2007
1990
2000
1990
2007
Ethiopia
Kenya Ghana Cameroon
Malawi
Senegal
Tan-zania
0.00
50.00
100.00
150.00
200.00
250.00
300.00
“Game changer” scenario takes time to have an effect
Low Income Low Income Lower-middle income
Lower-middle income
Original Alternative Original Alternative248 m 248 m 52 m 52 m
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Agriculture Household enterprises Wage servicesWage industry Unemployed
In p
erce
nt o
f tot
al
What is needed for the “game changer” scenario?
Need to raise productivity or lower wages or both
1 2 3 4 5 6 7 8 9 10 11 12 13 140.00
0.10
0.20
0.30
0.40
0.50
0.60
China India Brazil
Unit
Labo
r Cos
t
• Ample supply of unskilled labor in most countries
• Primary focus should be on business environment
• Business environment often protects status quo
• Well known cost issues need to be addressed: infrastructure costs, high land and input costs, expensive logistics, lack of finance, etc.
• Management and market know-how may be a constraint
What operational approaches show promise?
• Enable the private sector, don’t duplicate it• Use NGOs and decentralized approaches for flexibility
• Performance contracts, monitoring and evaluation
• Safety net programs are reaching poor areas, use them to help low income youth get started
• Programs geared to young women’s needs show high returns
YE is about building skills through improving the quality of education, as well as behavioral and business skills
YE is about agriculture – where strategies exist but have not been implemented, and could benefit from a youth lens
YE is about household non-farm enterprises – where few strategies exist
YE is about creating more labor intensive enterprises as fast as possible to absorb the supply of new entrants with education who want wage jobs
YE is about female empowerment and focus on the poor
Governments need to own the “whole” problem
A mix of action - quick wins and laying the foundation for sustained progress
Thank you