Much has been written about the role education plays in the success of economies and the relationship between school performance in today’s economic climate could not be more important. The relationship between learning today and the needs of society are intertwined in a complex world where global economies are only one dimension. Conflict and economic stability and education may well be forming new equations for individual students as well as national systems.
3. There is a larger proportion of young men with low
qualifications compared to young women Chart 1.2
Percentage of younger adults (25-34 year-olds) with attainment below upper secondary education, by gender (2013)
0
5
10
15
20
25
30
35
40
45
50
55
60
Portugal
Spain
Brazil
Denmark
Latvia
Estonia
Italy
Iceland
Greece
Colombia
Australia
Norway
Luxembourg
Israel
Netherlands
Belgium
Ireland
Finland
OECDaverage
Canada
UnitedStates
France
Slovenia
Poland
RussianFederation
Sweden
NewZealand
Chile
UnitedKingdom
Hungary
Germany
CzechRepublic
Korea
SlovakRepublic
Mexico
Switzerland
Austria
Turkey
Men Women%
4. Almost one in five 20-24 year-olds is NEET Chart 3.1
Distribution of 20-24 year-olds not in education, by work status (2013)
49 47
54
33
46
52
43 45
49
26
45 44
35
30
46
37
33
42
33 35 36 34
21
33
19
29
36 34
28
37 36
32
26
19
22
11
5
7
9
10
5
7
6
4
17
5 6
4 13
5
11
14
7
16 13 10
11
25
8
26
16
8
8
12
4 4
5
5
10 6
15
20
12
27
9 6
12 10 7
17
9 7
19 13
5
8 8 5 5 6 9
7
8
8
7 6 6
8
8 6
6
0
8
4
2
0
10
20
30
40
50
60
70
80
Colombia
Mexico
Israel
Turkey
UnitedKingdom
Austria
UnitedStates
NewZealand
Norway
Italy
Australia
Canada
Korea
Hungary
Switzerland
Belgium
Ireland
Sweden
SlovakRepublic
France
OECDaverage
Latvia
Spain
Estonia
Greece
Portugal
CzechRepublic
Finland
Poland
Germany
Netherlands
Iceland
Denmark
Slovenia
Luxembourg
Employed Unemployed Inactive
%
5. The net public return on investment for a man in tertiary education is over
USD 100 000, while the net private return is over USD 180 000
Net private and public returns associated with a man attaining tertiary education (2010)
0
50 000
100 000
150 000
200 000
250 000
300 000
350 000
400 000
450 000
500 000
Turkey
Denmark
Spain
Estonia
Sweden
NewZealand
Greece
Korea
Japan
Canada
SlovakRepublic
Poland
Norway
Israel
CzechRepublic
France
Australia
Finland
OECDaverage
Portugal
EU21average
Austria
UnitedKingdom
Netherlands
Italy
Belgium
Slovenia
Germany
UnitedStates
Hungary
Ireland
EquivalentUSD
Private net returns Public net returns
Chart A7.1
6. 100 80 60 40 20 0 20 40 60 80 100
Poland
Ireland
Slovak Republic
Estonia
Korea
United States
Austria
Czech Republic
Average
Flanders (Belgium)
Japan
England/N. Ireland (UK)
Germany
Canada
Australia
Denmark
Norway
Netherlands
Finland
Sweden
Basic digital
problem-solving
skills
Advanced
digital problem-
solving skills
Young adults (16-24 year-olds) All adults (16-65 year-olds)
Problem solving skills
in a digital environment
%
5
7. Evolution of employment in occupational groups
defined by problem-solving skills
6
-20
-15
-10
-5
0
5
10
15
20
25
%
Medium-low problem-
solving skills
Low problem-solving skills
High level
problem-solving skills
8. Labour productivity
and the use of reading skills at work
Australia
Austria
Canada
Czech Republic
Denmark
Estonia
Finland
Germany
Ireland
Italy
Japan
Korea
Netherlands
Norway
Poland
Slovak Republic
Spain Sweden
United States
England/N. Ireland
(UK)
3
3.2
3.4
3.6
3.8
4
4.2
4.4
4.6
1.5 1.6 1.7 1.8 1.9 2 2.1 2.2 2.3
(log)Labourproductivity
Use of reading skills at work
7
9. How youths use skills at work
1.4
1.6
1.8
2
2.2
2.4
Reading at
work
Writing at
work
Numeracy at
work
ICT at work Problem
solving at
work
Average
Japan
United
Kingdom
Most frequent use = 4
Least frequent use = 0,
age 16 to 35
Indexofuse
10. Lessons
from strong
performers
High quality initial
education and
lifelong learning
• Investing in high quality
early childhood education
and initial schooling,
particularly for children
from disadvantaged
backgrounds
• Financial support
targeted at disadvantage
• Opportunities and
incentives to continued
development of
proficiency, both outside
work and at the
workplace.
11. Lessons
from strong
performers
Make learning
everybody’s
business
• Governments, employers,
workers and parents
need effective and
equitable arrangements
as to who does and pays
for what, when and how
• Recognise that
individuals with poor
skills are unlikely to
engage in education on
their own and tend to
receive less employer-
sponsored training .
12. Lessons
from strong
performers
Effective links
between learning
and work
• Emphasis on workbased
learning allows people to
develop hard skills on
modern equipment and
soft skills through real-
world experience
• Employer engagement in
education and training
with assistance to SMEs
• Strengthen relevance of
learning, both for
workplace and workers
broader employability .
13. Lessons
from strong
performers
Allow workers to
adapt learning to
their lives
• Flexibility in content
and delivery (part-
time, flexible hours,
convenient location)
• Distance learning and
open education
resources .
14. Lessons
from strong
performers
Improve
transparency
• Easy-to-find
information about
adult education
activities
• Combination of easily
searchable, up-to-date
online information and
personal guidance and
counselling services
• Less educated workers
tend to be less aware
of the opportunities
• Recognise and certify
skills proficiency .
15. Lessons
from strong
performers
Guidance
• Timely data about
demand for and supply
of skills
• Competent personnel
who have the latest
labour-market
information at their
fingertips to steer
learners
• Qualifications that are
coherent and easy to
interpret .
16. Lessons
from strong
performers
Help employers
make better use of
workers skills
• Flexible work
arrangements that
accommodate workers
with care obligations
and disabilities
• Encourage older
workers to remain in
the labour market
• Encourage employers
to hire those who
temporarily withdrew
from the labour
market ..
17. 16
16 Thank you
Find out more about our work at
www.oecd.org/eag/eag2014
– The publication
– The methodologies
– The complete database
Email: Andreas.Schleicher@OECD.org
Twitter: SchleicherEDU
and remember:
Without data, you are just another person with an opinion
Editor's Notes
Chart 1.1
Note: Data for Japan are not displayed because disaggregation between below upper secondary education and upper secondary or post-secondary non-tertiary level is not available.
Data for the Russian Federation refer to 2012.
Data for Chile refer to 2011.
Countries are ranked in ascending order of the proportion of 25-34 year-olds with attainment below upper secondary education.
Source: OECD. Table 1.4. See Annex for notes (www.oecd.org/edu.eag.htm).
Chart 1.2
Note: Data for Japan are not displayed because disaggregation between below upper secondary education and upper secondary or post-secondary non-tertiary level is not available.
Data for the Russian Federation refer to 2012.
Data for Chile refer to 2011.
Countries are ranked in descending order of the difference in the proportion of 25-34 year-old men with attainment below upper secondary education and the proportion of 25-34 year-old women with attainment below upper secondary education.
Source: OECD. Table 1.4. See Annex for notes (www.oecd.org/edu.eag.htm).
Chart 3.1
Note: Data for 20-24 year-olds are not available for Japan.
Countries are ranked in ascending order of the proportion of 20-24 year-olds in education.Source: OECD. Table 3.3. See Annex for notes (www.oecd.org/edu.eag.htm).
(9) Does this matter? Yes, it does. When you look at the evolution of employment by those problem-solving skills, you can see that there has been a significant decline in employment by people with basic problem-solving skills. There has been little change in employment among the low-skilled. But there has been significant growth in employment among great problem-solvers. What you see here is the hollowing out of labour-markets. Those who have great skills are fine, and will be better and better off. The people most at risk are not the poorly-skilled but white-collar workers with so-so-problem-solving skills, because their skills can increasingly be digitised, automated or outsourced. Those at the low end of the spectrum keep their jobs but are seeing declining wages. That's because you cannot digitise your bus driver or outsource your hairdresser to India.
(18) And these things matter. Our data show that differences in the average use of reading skills explain around 30% of the variation in labour productivity across countries.
(17) So we measured not only the skills that people have, but also how they use their reading, writing, numeracy and problem-solving skills at work. You see the average skill use across countries here in grey.
Americans did not do so well on our skills survey, but compared with the average, they use the skills they have at work, and the economy extracts good value from these skills. Compare that with the Japanese, they read, they write, but they don’t solve many problems - maybe they have no problems.
Think about it, here you have the country with the highest skills, but the economy does not transform those skills into better jobs and better lives. And that’s because rigid labour-market arrangements in Japan prevent many high-skilled people, most notably women, from reaping rewards from their skills.
So what can we learn form the most successful skills systems. We are at the very beginning with understanding the results from the survey, but some things are apparent.
So what can we do to ensure that the skills we develop match those most in need? Again, there are a couple of policy lessons we can learn from countries with strong skills systems.