skills strategy flanders diagnostic workshop presentation2 ... · 78.5 56.1-60-40-20 0 20 40 60 80...
TRANSCRIPT
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OECD SKILLS STRATEGY FLANDERSDIAGNOSTIC WORKSHOP
Dirk Van DammeHead of Division
OECD Centre for SkillsEducation and Skills Directorate
15 May 2018
Use Pigeonhole for your questions
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WHY DO SKILLS MATTER?
3
Skills empower countries and people to…
….thrive in our increasingly interconnected and rapidly changing world
Why do countries need skills strategies?
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Trends shaping education and skills
GLOBALISATION DEMOGRAPHIC CHANGE
TECHNOLOGICALCHANGE
Skilled workers are less likely to have routine jobs
Correlation between country-industries’ employment share in high routine jobs and average workers’ skills
Source: OECD Skills outlook 2017, Figure 2.19
-0.42-0.5
-0.38
0.4
-0,6
-0,5
-0,4
-0,3
-0,2
-0,1
0
0,1
0,2
0,3
0,4
0,5
Literacy skills Numeracy skills Problem solving skills intechnology-rich
environments
Physical skills
Notes:- High routine jobs are based on official occupation or sector classifications- The employment share in high routine intensity tasks is an average over the period 2000-11. Average workers’
skills are in 2012.
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An increasing share of jobs requires higher levels of skills
Employment opportunities by typical education requirements of occupations, historical and projected, OECD-EU countries, Shares of employment growth
Note: the OECD-EU countries refers to the 22 countries that are members of both the European Union and the OECD. These 22 countries are Austria, Belgium, the Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy,Latvia, Luxembourg, the Netherlands, Poland, Portugal, Slovenia, the Slovak Republic, Spain, Sweden and the United Kingdom; Education level requirements have been estimated using the International Standard Classification of Education 1997 (ISCED97).Source: OECD calculations based on CEDEFOP (2017), EU-CEDEFOP database: Employment trends.
20.9 23.1
-41.4
-30.4
4251.2
78.5
56.1
-60
-40
-20
0
20
40
60
80
100
2005-2015 2016-2025
%
Primary (ISCED97-1) Secondary and post-secondary non-tertiary (ISCED97-2+3+4)
Tertiary non-university (ISCED97-5B) Tertiary - university (ISCED97-5A+6)
Note: Increased likelihood (odds ratio) of adults scoring at Level 4/5 in literacy reporting high earnings, high levels of trust and political efficacy, good health, participating in volunteer activities and being employed, compared with adults scoring at or below Level 1 in literacy (adjusted) Source: OECD Skills Outlook 2013
Higher skill proficiency is associated with improved social and economic outcomes
Likelihood of positive social and economic outcomes among highly literate adults
2,9
2,6 2,6
2,3
2,22,1
1,0
1,2
1,4
1,6
1,8
2,0
2,2
2,4
2,6
2,8
3,0
High wages High levels of politicalefficacy
Participation in volunteeractivities
High levels of trust Being employed Good to excellent health
Odds ratio
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WHAT IS THE SOCIO-ECONOMIC CONTEXT FOR
FLANDERS?
9
Source: OECD (2018), Dataset: Regional Economy.
Demographic change makes productivitygrowth increasingly important in Flanders
Growth productivity and labour utilisation in Flanders, 2007=100
96
97
98
99
100
101
102
103
2007 2008 2009 2010 2011 2012 2013 2014 2015
Real growth index of labour productivity (GVA / employment)Growth index of labour utilisation (Employment / Population)
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Source: Eurostat (2018), Regional Employment, LFS
The share of population which is inactive is relatively high
Economic inactivity rate, selection of countries, 15-64 year-olds, 2016
0
5
10
15
20
25
30
35
40
Switz
erla
nd
Den
ma
rk
Swed
en
Aus
tria
Brus
sels
Euro
pea
n Un
ion
Luxe
mb
ourg
Fran
ce
Fla
nder
s
Belg
ium
Wal
loni
a
% of population
Note: Each well-being dimension is measured using 1-3 Better Life Indicators with equal weight, and are normalised by re-scaling to be from 0 (worst) to 10 (best).
Source: OECD (2017), OECD Economic Surveys: Belgium 2017
Well-being in Belgium is generally high compared to the OECD average
OECD Better Life Index
0
2
4
6
8
10Income and wealth
Jobs and earnings
Housing
Work-Life balance
Health status
Education and skillsSocial connections
Civic engagement andgovernance
Environmental quality
Personal security
Subjective well-being
Belgium OECD
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WHAT IS THE SKILLS STRATEGY FRAMEWORK?
13
Applying the Skills Strategy
Contributes to economic prosperity
Contributes to social cohesion
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The OECD Skills Strategy Dashboard
Note: These summary indicators are calculated as a simple average of a range of underlying indicators. All underlying indicators have been normalised in a way which implies that a higher value and being among the “top 20%” reflects better performance. "x" indicates insufficient available data for underlying indicators
5 Priority areas for the project
Developing a learning culture
Strengthening skills use in workplaces
Improving skills matches
Strengthening skills governance and structures
Improving the financing of education and training
Preliminary analysis
Policy context
Discussion with Project Team
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PRIORITY 1: DEVELOPING A LEARNING CULTURE
17
Adults exhibit an above average performance in most comparative cognitive skills measures
Mean proficiency scores in literacy and numeracy, and the % scoring at Level 2 or 3 in problem solving in technology-rich environments, 16-65 year-olds
Source: OECD (2016), Skills Matter: Further Results from the Survey of Adult Skills, Figure 1.2. http://dx.doi.org/10.1787/888933365695
200 220 240 260 280 300
ChileTurkey
ItalySpain
GreeceSlovenia
FranceIrelandPoland
OECD averageN. Ireland (UK)
AustriaUnited States
GermanyDenmark
KoreaEngland (UK)
CanadaSlovak RepublicCzech Republic
FlandersEstonia
NorwaySwedenAustralia
New ZealandNetherlands
FinlandJapan
A. Literacy, mean score
200 220 240 260 280 300
ChileTurkeySpain
ItalyGreece
United StatesFranceIreland
SloveniaN. Ireland (UK)
PolandEngland (UK)
OECD averageKorea
CanadaAustralia
New ZealandGermany
EstoniaAustria
Czech RepublicSlovak Republic
DenmarkNorwaySweden
NetherlandsFlandersFinlandJapan
B. Numeracy, mean score
0 10 20 30 40 50
TurkeyGreece
ChilePolandIreland
SloveniaSlovak Republic
EstoniaN. Ireland (UK)
KoreaOECD average
United StatesAustria
Czech RepublicFlanders
JapanEngland (UK)
GermanyCanadaAustralia
DenmarkNorway
NetherlandsFinland
SwedenNew Zealand
C. Problem solving, % level 2 or 3
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Flanders does face some challenges with respect to the socio-demographic distribution of skills
Socio-demographic adjusted differences in literacy
Source: OECD (2016), Skills Matter: Further Results from the Survey of Adult Skills, Figure 3.1. http://dx.doi.org/10.1787/888933365979.
0
10
20
30
40
50
60
Age (25-34 - 55-65) Immigrant (native -foreign)
Education (Tertiary -lower than upper
sec).
Parents' Education(tertiary parents - less
than upper sec.parents)
Score-pointsFlanders OECD average
But the effect of parents’ educational level appears to decrease in Flanders
Disparities in literacy between individuals with and without tertiary educated parents in PISA 2000 and PIAAC 26-28 year-olds
Source: Borgonovi, F. et al. (2017), “Youth in Transition: How Do Some of The Cohorts Participating in PISA Fare in PIAAC?”, OECD Education Working Papers, No. 155, OECD Publishing, Paris. http://dx.doi.org/10.1787/51479ec2-en
00,10,20,30,40,50,60,70,80,9
Standardised gapPISA 15 year-olds PIAAC 26-28 year-olds Note: The standardised gap
refers to the difference in the mean scores of individuals with at least one parent educated at the tertiary level and individuals without tertiary educated level parents divided by the average standard deviation of countries participating in the study in a particular education. Countries are ranked in descending order of the gap in PISA 2000. Bars and diamonds highlighted in dark represent groups for which the gap is statistically significant at the 5% level. * Next to the country name denotes PIAAC round 2 countries for which PISA 2003 data were used to identify performance at age 15.
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And large share of the workforce is vulnerable to automation
Source: Elliott, S. (2017), “Computers and the future of skill demand”, OECD Publishing.
Proportion of workforce using general cognitive skills at or below level of computer capabilities, historical and projected
0%
10%
20%
30%
40%
50%
60%
70%
80%
Computer capabilities in 2016 Additional capabilities projected for 2026
Creating a culture of lifelong learning is becoming increasingly important
A culture of lifelong learning could:
Help to reduce socio-
economic differences
Help adults to upskill and reskill to meet changes in skills demand
Raise productivity, innovation, and
economic growth
Improve social cohesion, health,
and civic participation
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But participation in adult education could be expanded
Source: OECD Survey of Adult Skills database (PIAAC) (2012, ‘15).
Participation in adult education, 25-64 year-olds, by type, 2012/2015
0
10
20
30
40
50
60
70
%Participation in non-formal education onlyParticipation in formal education onlyParticipation in both formal and non-formal education
Low-skilled adults are much less likely to participate in formal and non-formal learning
Participation gap in formal and non-formal learning for job-related reasons, Percentage of high-skilled and low-skilled adults
Source: OECD calculations based on OECD (2017), OECD Survey of Adult Skills database (PIAAC) (2012, 2015), OECD, Paris, www.oecd.org/skills/piaac/ (accessed March 2017).
0
5
10
15
20
25
30Percentage points
non-formal learning for job-related reasons formal education
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Flemish adults are comparatively unwilling to participate and face severe obstacles
Not willing to participate in formal and/or non-formal education, % of 25-64 year-olds, 2012/2015
Source: OECD calculations based on OECD (2017), OECD Survey of Adult Skills database (PIAAC) (2012, 2015), OECD, Paris, www.oecd.org/skills/piaac/ (accessed March 2017).
0102030405060708090
100
% Participated, but does not want to participate (more)Did not participate, and does not want to participate
PRIORITY 2: IMPROVING SKILLS MATCHES
26
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Flemish workers are comparatively well-matched in education and skills level, but not in field-of-study
Mismatch, by type of mismatchAs a percentage of all employment
Source: OECD calculations based on the Survey of Adult Skills (PIAAC) 2012.
0 10 20 30 40 50
Slovak RepublicSlovenia
TurkeyPoland
DenmarkCzech Republic
FlandersFinland
SpainKorea
United StatesNetherlands
ChileGreece
GermanyOECD average
NorwayAustria
ItalyN. Ireland (UK)
EstoniaJapan
SwedenCanadaAustralia
England (UK)IrelandFrance
New Zealand
A. Qualification mismatchOver-qualified Under-qualified
0 10 20 30 40
N. Ireland (UK)Netherlands
PolandFinland
CanadaFrance
SwedenFlanders
EstoniaDenmarkAustraliaSlovenia
KoreaUnited States
JapanEngland (UK)
NorwayNew Zealand
OECD averageTurkey
GermanySlovak Republic
ItalyCzech Republic
AustriaSpain
IrelandChile
Greece
B. Literacy mismatchOver-skilled Under-skilled
0 20 40 60
FinlandGermany
AustriaSloveniaNorwaySweden
NetherlandsDenmark
EstoniaCanada
Slovak RepublicCzech Republic
FlandersOECD average
PolandGreece
TurkeySpain
United StatesJapan
N. Ireland (UK)Italy
ChileKorea
C. Field of study mismatch
Flanders has labour shortages in technical occupations, and enrolment in STEM-studies is lagging behind
B. Graduates STEM studies in tertiary educationper 1000 of population aged 20-29, 2014
Source: OECD (2017), Education at a Glance, Table A2.1. Profile of upper secondary graduates from general and vocational programmes(2015). Eurostat, Education administrative data; STEM Monitor 2017
0
5
10
15
20
25
0
5
10
15
20
25
30
35
40
45
50%
A. Graduates in upper secondary engineering, manufacturing and construction programs
% of graduates in upper secondary, 2015
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And despite labour shortages, many adults are still outside of the labour market
Long-term unemployment, NEETs, and inactivity rate, 2016
Source: OECD (2017), Long-term unemployment rate (indicator). doi: 10.1787/76471ad5-en; Eurostat (2018) Regional statistics
0 20 40 60 80
SwedenDenmark
OECD averageAustria
LuxembourgGermanyFlanders
NetherlandsFrance
WalloniaBrussels
% of unemployed
A. Long-term unemployment
0 10 20
NetherlandsSweden
GermanyFlanders
AustriaDenmark
LuxembourgEU average
FranceWallonia
Brussels
%
B. NEETs, 15-24 year-olds
0 20 40
Switzerland
Denmark
Sweden
Austria
Brussels
European Union
Luxembourg
France
Flanders
Wallonia
% of population
C. Inactivity rate
PRIORITY 3: STRENGTHENING SKILLS USE IN WORKPLACES
30
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Skills are not used to their full potential in the workplace
Use of numeracy skills and numeracy proficiency
Note: Skills use indicators are between 1 "Never" and 5 "Every day". Source: OECD Survey of Adult Skills database (PIAAC) (2012, ‘15).
250
255
260
265
270
275
280
285
290
2,3
2,35
2,4
2,45
2,5
2,55
2,6
Proficiency scoreSkills-use indicator Use of numeracy skills at work (left)Numeracy proficiency (average score) (right)
But Flemish firms are adopting HPWP at a higher rate than their counterparts in most other countries
Share of jobs and index High performance work practices (HPWP)
OECD (2016a), OECD Employment Outlook 2016, OECD Publishing, Paris, http://dx.doi.org/10.1787/empl_outlook-2016-en.
2,4
2,5
2,6
2,7
2,8
2,9
3,0
0
5
10
15
20
25
30
35
40
45
Index%
Percentage of jobs with high HPWP (left)Mean HPWP index (right)
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Some task-based skills could be used more often by workers
Workers' task-based skills, 2012/2015
OECD (2016a), OECD Employment Outlook 2016, OECD Publishing, Paris, http://dx.doi.org/10.1787/empl_outlook-2016-en.
0,45 0,5 0,55 0,6
Marketing and accounting skills
STEM skills
Managing and communicationskills
ICT skills
Self-organisation skills
Flanders OECD (PIAAC)
PRIORITY 4: STRENGTHENING SKILL GOVERNANCE AND
STRUCTURES
34
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The relevance of governance and partnerships for skills systems
Civil societyPublic Authorities
Financing institutions
Employers and Unions
Education training and research
Skills system stakeholders
Belgium is comparatively strong in engaging stakeholders when developing regulations
Stakeholder engagement in developing regulations, 2014
0
0,5
1
1,5
2
2,5
Methodology score: primary lawsOversight score: primary lawsSystematic adoption score: primary laws
Transparency score: primary lawsTotal score: subordinate regulations
Source: OECD (2017), Government at a Glance 2017, Figure 1.7 and 8.1. Stakeholder engagement in developing regulations, 2014.
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Governance in Belgium can be improvedExecutive capacity, SGI-score, 2017
Source: Bertelsmann Stiftung (2018), Sustainable Governance Indicators (SGI), http://www.sgi-network.org/2017/.
1 2 3 4 5 6 7 8 9
Evidence-based Instruments
Organizational Reform
Policy Communication
Societal Consultation
Strategic Capacity
Adaptability
Implementation
Interministerial Coordination
BelgiumOECD average
PRIORITY 5: IMPROVING THE FINANCING OF
EDUCATION AND TRAINING
38
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Flanders implemented several financial incentives to promote adult learning
Types of financial incentives for individuals and firms to support participation in adult learning
Opleidingscheques('Training Vouchers')
Loopbaancheques ('Career Guidance Vouchers')
IndividueleBeroepsopleiding (IBO) ('Individual vocational training')
Exemptions or no entrance fees for adult education
Actieplan Werkbaar Werk('Workable Work')
StrategischeTransformatiesteun('Strategic Transformation Support')
KMO-portefeuille ('SME Portfolio')
Individual Firms
Employers cover a relatively large share of expenditures, but especially for the high skilled
% of employees receiving employer financial support for education or training, by skills level, 25-64 year-olds
40%
45%
50%
55%
60%
65%
70%
75%
80%
low skilled high skilled
Source: OECD Survey of Adult Skills database (PIAAC) (2012, ‘15).
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The cost of adult education is rarely a reason to not participate
Reasons for not participating, 2012/2015
Source: OECD (2017), Education at a Glance, Table C6.3a.
0 10 20 30 40
Did not have the prerequisites
Something unexpected came up
Too expensive
Lack of employer’s support
Other
Inconvenient time or place
Childcare, family responsibilities
Too busy at work
%
Flanders OECD average
Questions? <<From Pigeon hole>>
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For more informationTo discuss OECD’s work with countries on National Skills Strategy projects contact: [email protected]@[email protected]
To learn more about the OECD’s work on skills visit: www.oecd.org/skills/