Cite

Figure 1

Skills vs employment protection: VoC approach.Source:Estevez-Abe et al. [2001].
Skills vs employment protection: VoC approach.Source:Estevez-Abe et al. [2001].

Figure 2

Active variable in the first factorial plane: total education.Source: Own estimates.
Active variable in the first factorial plane: total education.Source: Own estimates.

Figure 3

Countries’ representation in the first factorial plane: total education.Source: Own estimates.
Countries’ representation in the first factorial plane: total education.Source: Own estimates.

Figure 4

Cluster dendrogram: total education.Source: Own estimates.
Cluster dendrogram: total education.Source: Own estimates.

Figure 5

Old and New Member States in the first factorial plane: total education.Source: Own estimates.
Old and New Member States in the first factorial plane: total education.Source: Own estimates.

Figure 6

Active variable in the first factorial plane: higher education.Source: Own estimates.
Active variable in the first factorial plane: higher education.Source: Own estimates.

Figure 7

Countries’ representation in the first factorial plane: higher education.Source: Own estimates.
Countries’ representation in the first factorial plane: higher education.Source: Own estimates.

Figure 8

Cluster dendrogram: higher education.Source: Own estimates.
Cluster dendrogram: higher education.Source: Own estimates.

Figure 9

Old and New Member States in the first factorial plane: higher education.Source: Own estimates.
Old and New Member States in the first factorial plane: higher education.Source: Own estimates.

Education clusters identified by Amable

Countries in a clusterKey characteristics
Italy, Spain, Portugal, Greece, and AustriaLow number of higher education graduates
FinlandVarious specific features
Netherlands, Belgium, France, Germany, and IrelandStrong public education
Denmark, Sweden, and NorwayHigh expenditures per capita, high employment ratios
The United States, Japan, the United Kingdom, Australia, Korea, and CanadaPrivately financed tertiary education

Mean values of the valuables for the clusters: higher education

12345
UK, EST, CYP, LVALUXFIN, IRL, FRA, GER, AUT, SWE, DEN, MLT, BEL, NEDCRO, ROM, HUN, CZE, SLO, SPA, SVK, BUL, POL, LTU, PORGRE, ITA
shortcycle_sharepublic0.171.000.700.840.00
bachelor_sharepublic0.160.960.810.850.94
master_sharepublic0.091.000.830.880.95
doctoral_sharepublic0.181.000.950.950.98
LLL_12M47.9348.1050.1536.3929.10
students_abroad_tertiary0.130.470.100.050.04
tertiary_pupils_to_teachers16.957.6013.5614.7529.90
tertiary_expperc_GDP1.330.511.580.940.75
Enrollment_tertiary50.1280.6073.0565.0694.70
alltertiary_share_Education7.9011.008.528.104.40
alltertiary_share_Humanities11.0012.7011.779.0314.55
alltertiary_share_social8.5510.708.949.7112.15
alltertiary_share_business28.3534.6021.6422.9221.05
alltertiary_share_sciences6.806.406.674.898.60
alltertiary_share_ICT5.485.605.144.152.35
alltertiary_share_Engineering12.989.1013.4618.0018.85
alltertiary_share_Agriculture1.451.001.372.983.45
alltertiary_share_Health12.237.1016.2912.8512.10
alltertiary_share_Services4.751.703.286.531.40

Mean values of the valuables for the clusters: general education

Cluster123456
Countries in a clusterIRL, GRE, ROM, LTU, CRO, POLGER, NED, HUN, BUL, ITA, FRA, AUT, SLO, CZE, SVKLUX, CYP, MAL, POR, SPAEST, LVASWE, DEN, FINBEL, UK
preprmiary_public_share0.750.810.670.930.830.50
primary_public_share0.970.940.800.920.910.63
lowersec_sharepublic0.970.920.780.880.830.42
uppersec_sharepublic0.950.870.800.900.870.30
uppersec_shareVET0.390.560.320.500.500.56
uppersec_shareVET_public0.980.860.880.940.860.23
allstudents__sharepublic0.900.860.610.560.810.21
shortcycle_sharepublic0.990.630.601.000.700.20
bachelor_sharepublic0.890.860.600.590.770.22
master_sharepublic0.920.870.570.500.920.20
doctoral_sharepublic0.980.960.720.500.970.28
LLL_12M22.2248.7444.2846.0556.1048.65
students_abroad_tertiary0.040.080.090.270.080.15
teachers_shareofAP2.772.692.382.602.171.60
preprimary_pupils_to_teachers12.5013.4513.5810.058.7016.25
primary_pupils_to_teachers11.8515.3712.7411.8512.7714.85
lowersec_pupils_to_teachers9.1211.719.1810.4010.8011.90
genuppersec_pupils_to_teachers11.7512.688.3010.5013.3012.40
VETuppersec_pupils_to_teachers9.2212.4211.0513.6516.5015.45
tertiary_pupils_to_teachers19.9815.7814.8010.7512.0716.60
publicedu_expperc_GDP3.824.615.224.386.906.06
preprimary_expperc_GDP0.370.580.510.461.100.48
primary_expperc_GDP1.040.951.511.241.761.72
lowsec_expperc_GDP0.760.950.980.691.060.87
uppersec_expperc_GDP0.650.961.020.781.531.57
tertiary_expperc_GDP0.931.111.150.972.041.42
primary_foreignlang1.000.770.941.450.900.40
Enrollment_low_sec101.14102.46113.95105.16112.60165.28
Enrollment_post_sec42.6720.7510.3821.1222.3952.52
Enrollment_pre_prim78.2596.3898.6694.9591.10113.49
Enrollment_primary98.89100.50103.6198.16109.03102.37
Enrollment_tertiary76.1966.8055.6376.0077.2067.65
Enrollment_upper_sec107.01108.38110.11121.60170.91151.73
CompusloryEdu9.3310.8010.4010.009.6711.50
EntranceAge6.505.505.206.006.335.50
Teacher_sal0.900.961.171.261.001.04

Education clusters identified by SGH research team

Countries in a clusterKey characteristics
Germany, Austria, Denmark, Netherlands, Sweden, and FinlandHigh level of patent applications, high level of individuals’ Internet skills, medium–high turnover from innovation
The United Kingdom, Ireland, France, and BelgiumHigh level of employment in knowledge-intensive services, very high turnover from innovation, relatively low share of 15-year-old pupils performing weakly in PISA
Slovenia and ItalyMedium level of large part of characteristics: patents, employment in knowledge-intensive service, share of women in VET streams, and in research
Bulgaria, Estonia, Czech, Republic, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Croatia, Greece, Spain, and PortugalLow level of patent applications and patents granted, medium–high level of enrollment in tertiary education, comparatively low individuals’ level of Internet skills

List of variables in a model

NameSourceYearDefinition
Enrollment_low_secWorld Bank2016Gross enrollment ratio, lower secondary, both sexes (%) – percentage of students to respective age population, may be more than 100%
Enrollment_post_secWorld Bank2016Gross enrollment ratio, post-secondary non-tertiary, both sexes (%) – percentage of students to respective age population, may be more than 100%
Enrollment_pre_primWorld Bank2016Gross enrollment ratio, pre-primary, both sexes (%) – percentage of students to respective age population, may be more than 100%
Enrollment_primaryWorld Bank2016Gross enrollment ratio, primary, both sexes (%) – percentage of students to respective age population, may be more than 100%
Enrollment_tertiaryWorld Bank2016Gross enrollment ratio, tertiary, both sexes (%) – percentage of students to respective age population, may be more than 100%
Enrollment_upper_secWorld Bank2016Gross enrollment ratio, upper secondary, both sexes (%) – percentage of students to respective age population, may be more than 100%
CompusloryEduWorld Bank2017Duration of compulsory education (years)
EntranceAgeWorld Bank2017Official entrance age to compulsory education (years)
preprimary_public_shareEurostat2016Share of pupils in pre-school education in public institutions
primary_public_shareEurostat2016Share of pupils in primary education in public institutions
lowersec_sharepublicEurostat2016Share of pupils in public institutions – lower secondary
uppersec_sharepublicEurostat2016Share of pupils in public institutions – upper secondary
uppersec_shareVETEurostat2016Share of pupils in vocational programs – upper secondary
uppersec_shareVET_publicEurostat2016Share of pupils in public institutions in vocational programs – upper secondary
shortcycle_sharepublicEurostat2016Share of students in public institutions – short-cycle tertiary
bachelor_sharepublicEurostat2016Share of students in public institutions – bachelor
master_sharepublicEurostat2016Share of students in public institutions – master
doctoral_sharepublicEurostat2016Share of students in public institutions – doctoral
LLL_12MEurostat2016Participation in education and training last 12 M
students_abroad_tertiaryEurostat2016Share of students from abroad in all tertiary
teachers_shareofAPEurostat2016Classroom teachers working full-time and part-time in primary, lower-secondary and upper-secondary education – as% of total active population [Czechia, Denmark, and Ireland NA]
preprimary_pupils_to_teachersEurostat2016Pupils to teachers ratio – preprimary [Denmark, UK 2014, Estonia 2015]
primary_pupils_to_teachersEurostat2016Pupils to teachers ratio – primary [Denmark 2014, Ireland 2014]
lowersec_pupils_to_teachersEurostat2016Pupils to teachers ratio – lower secondary [Denmark 2014, Ireland NA]
genuppersec_pupils_to_teachersEurostat2016Pupils to teachers ratio – general upper secondary [Ireland, Portugal 2013]
VETuppersec_pupils_to_teachersEurostat2016Pupils to teachers ratio – vocational upper secondary [Ireland, Portugal NA]
tertiary_pupils_to_teachersEurostat2016Pupils to teachers ratio – tertiary [Denmark, Portugal, UK 2014]
publicedu_expperc_GDPEurostat2015Public expenditure on education as percentage of GDP
preprimary_expperc_GDPEurostat2015Public expenditure on pre-primary education as percentage of GDP
primary_expperc_GDPEurostat2015Public expenditure on primary education as percentage of GDP
lowsec_expperc_GDPEurostat2015Public expenditure on lower secondary education as percentage of GDP
uppersec_expperc_GDPEurostat2015Public expenditure on upper secondary education as percentage of GDP
tertiary_expperc_GDPEurostat2015Public expenditure on tertiary education as percentage of GDP
primary_foreignlangEurostat2015Foreign languages learned – primary
lowsec_foreignlangEurostat2015Foreign languages learned – lower secondary
Teacher_salOECD2017Teachers’ statutory salaries after 10 years of experience, average of primary, lower secondary and upper secondary, as a percentage of average salary in the economyEstonia and Latvia – author’s estimates on a basis of starting salaries. Bulgaria, Croatia, Romania, Cyprus, and Malta – missing and found in local statistical offices, so may not be fully comparable
Only in a set for Higher education:
alltertiary_share_EducationEurostat2016Share of all tertiary students, who are enrolled in programs in the field of education
alltertiary_share_HumanitiesEurostat2016Share of all tertiary students, who are enrolled in programs in the field of arts and humanities
alltertiary_share_socialEurostat2016Share of all tertiary students, who are enrolled in programs in the field of social sciences, journalism, and information
alltertiary_share_businessEurostat2016Share of all tertiary students, who are enrolled in programs in the field of business, administration, and law
alltertiary_share_sciencesEurostat2016Share of all tertiary students, who are enrolled in programs in the field of natural sciences, mathematics, and statistics
alltertiary_share_ICTEurostat2016Share of all tertiary students, who are enrolled in programs in the field of information and communication technologies
alltertiary_share_EngineeringEurostat2016Share of all tertiary students, who are enrolled in programs in the field of engineering, manufacturing, and construction
alltertiary_share_AgricultureEurostat2016Share of all tertiary students, who are enrolled in programs in the field of agriculture, forestry, fisheries, and veterinary
alltertiary_share_HealthEurostat2016Share of all tertiary students, who are enrolled in programs in the field of health and welfare
alltertiary_share_ServicesEurostat2016Share of all tertiary students, who are enrolled in programs in the field of services

Education clusters identified by Farkas

Countries in a clusterKey characteristics
Austria, Denmark, the United Kingdom, Finland, the Netherlands, Sweden, and SloveniaHigh enrollment ratio and high employment rate of graduates, very large number adults in Lifelong Learning (LLL), highest expenditures per capita in relation to GDP
Italy, Spain, and PortugalHigh enrollment in tertiary education and – at the same time – high proportion of low-qualified population, participation in LLL lower than in cluster 1, but higher than in 3 and 4
Belgium, Lithuania, Latvia, Estonia, France, Greece, Ireland, Luxembourg, Hungary, and RomaniaFewer participants in VET and LLL than average, spending on education below average, rates of employment slightly below average
Bulgaria, Czech Republic, Poland, Germany, and SlovakiaSmallest proportion of low-qualified people, smallest public spending on education, with highest private spending (in relation to GDP)

Higher education clusters

Countries in a clusterKey characteristics
UK, Estonia, Latvia, and CyprusLow share students in public institutions (in doctoral programs = 0%)
LuxembourgVery high number of students abroadSignificantly above average share of students in business
Finland, Ireland, France, Germany, Austria, Sweden, Denmark, Malta, Belgium, and NetherlandsAbove average expenditures on tertiary education, high number of students in health, and low number in agriculture
Croatia, Romania, Hungary, Czech Republic, Slovenia, Spain, Slovakia, Bulgaria, Poland, Lithuania, and PortugalVery high number of students in agriculture program, high in services, and engineering programsVery low expenditures on tertiary education in relation to GDP
Greece and ItalyVery high ratio of students to teachersSignificantly above average share of students in humanities and social scienceAbove average enrollment to tertiary education

Comparison of clusters of education systems in EU

FarkasRapacki and CzerniakŻurawski
AustriaDEN, FIN, NED, SLO, SWE, UKDEN, FIN, GER, NED, SWEBUL, CZE, FRA, GER, HUN, ITA, NED, SLO, SVK
BelgiumEST, FRA, GRE, HUN, IRL, LTU, LVA, LUX, ROMCRO, FRA, IRL, UKUK
BulgariaCZE, GER, POL, SVKCZE, EST, GRE, HUN, LTU, LVA, POL, POR, ROM, SPA, SVKAUT, CZE, FRA, GER, HUN, ITA, NED, SLO, SVK
CroatiaNABEL, FRA, IRL, UKGRE, IRL, LTU, POL, ROM
CyprusNANALUX, MLT, POR, SPA
CzechiaBUL, GER, POL, SVKBUL, EST, GRE, HUN, LTU, LVA, POL, POR, ROM, SPA, SVKAUT, BUL, FRA, GER, HUN, ITA, NED, SLO, SVK
DenmarkAUT, FIN, NED, SLO, SWE, UKAUT, FIN, GER, NED, SWEFIN, SWE
EstoniaBEL, FRA, GRE, HUN, IRL, LTU, LVA, LUX, ROMBUL, CZE, GRE, HUN, LTU, LVA, POL, POR, ROM, SPA, SVKLVA
FinlandAUT, DEN, NED, SLO, SWE, UKAUT, DEN, GER, NED, SWEDEN, SWE
FranceBEL, EST, GRE, HUN, IRL, LTU, LVA, LUX, ROMBEL, CRO, IRL, UKAUT, BUL, CZE, GER, HUN, ITA, NED, SLO, SVK
GermanyBUL, CZE, POL, SVKAUT, DEN, FIN, NED, SWEAUT, BUL, CZE, FRA, HUN, ITA, NED, SLO, SVK
GreeceBEL, EST, FRA, HUN, IRL, LTU, LVA, LUX, ROMBUL, CZE, EST, HUN, LTU, LVA, POL, POR, ROM, SPA, SVKCRO, IRL, LTU, POL, ROM
HungaryBEL, EST, FRA, GRE, IRL, LTU, LVA, LUX, ROMBUL, CZE, EST, GRE, LTU, LVA, POL, POR, ROM, SPA, SVKAUT, BUL, CZE, FRA, GER, ITA, NED, SLO, SVK
IrelandBEL, EST, FRA, GRE, HUN, LTU, LVA, LUX, ROMBEL, CRO, FRA, UKCRO, GRE, LTU, POL, ROM
ItalyPOR, SPASLO,AUT, BUL, CZE, FRA, GER, HUN, NED, SLO, SVK
LithuaniaBEL, EST, FRA, GRE, HUN, IRL, LVA, LUX, ROMBUL, CZE, EST, GRE, HUN, LVA, POL, POR, ROM, SPA, SVKCRO, GRE, IRL, POL, ROM
LatviaBEL, EST, FRA, GRE, HUN, IRL, LTU, LUX, ROMBUL, CZE, EST, GRE, HUN, LTU, POL, POR, ROM, SPA, SVKEST
LuxembourgBEL, EST, FRA, GRE, HUN, IRL, LTU, LVA, ROMNACYP, MLT, POR, SPA
MaltaNANACYP, LUX, POR, SPA
NetherlandsAUT, DEN, FIN, SLO, SWE, UKAUT, DEN, FIN, GER, SWEAUT, BUL, CZE, FRA, GER, HUN, ITA, SLO, SVK
PolandBUL, CZE, GER, SVKBUL, CZE, EST, GRE, HUN, LTU, LVA, POR, ROM, SPA, SVKCRO, GRE, IRL, LTU, ROM
PortugalITA, SPABUL, CZE, EST, GRE, HUN, LTU, LVA, POL, ROM, SPA, SVKCYP, LUX, MLT, SPA
RomaniaBEL, EST, FRA, GRE, HUN, IRL, LTU, LVA, LUXBUL, CZE, EST, GRE, HUN, LTU, LVA, POL, POR, SPA, SVKCRO, GRE, IRL, LTU, POL
SloveniaAUT, DEN, FIN, NED, SWE, UKITAAUT, BUL, CZE, FRA, GER, HUN, ITA,NED, SVK
SpainITA, PORBUL, CZE, EST, GRE, HUN, LTU, LVA, POL, POR, ROM, SVKCYP, LUX, MLT, POR
SlovakiaBUL, CZE, GER, POLBUL, CZE, EST, GRE, HUN, LTU, LVA, POL, POR, ROM, SPAAUT, BUL, CZE, FRA, GER, HUN, ITA,NED, SLO
SwedenAUT, DEN, FIN, NED, SLO, UKAUT, DEN, FIN, GER, NEDDEN, FIN
UKAUT, DEN, FIN, NED, SLO, SWEBEL, CRO, FRA, IRLBEL

Comparison of results of PISA survey and the clusters

Cluster123456
Countries in a clusterIRL, GRE, ROM, LTU, CRO, POLGER, NED, HUN, BUL, ITA, FRA, AUT, SLO, CZE, SVKLUX, CYP, MAL, POR, SPAEST, LVASWE, DEN, FINBEL, UK
Science474487.9475512508.67505.5
Reading481.17482.8473503.5508.67498.5
Mathematics474.67489.3476501505.33499.5

Education system clusters

Countries in a clusterKey characteristics
Ireland, Greece, Romania, Lithuania, Croatia, and PolandHigher entrance age to compulsory educationVery high share of students in public institutions in secondary educationHigh enrollment in post-secondary non-tertiary educationVery low enrollment in LLL
Germany, Netherlands, Hungary, Bulgaria, Italy, France, Austria, Slovenia, Czech Republic, and SlovakiaHigh ratio of pupils to teachers in primary and secondary educationLow expenditures on primary education in relation to GDP
Luxembourg, Cyprus, Malta, Portugal, and SpainHigh number of students abroadHigh teachers’ salariesVery low entrance age to compulsory education
Estonia and LatviaVery low number of students in tertiary education in public institutions with most other characteristics relatively close to Scandinavian countries
Sweden, Denmark, and FinlandVery high expenditures on education in relation to GDP (at all levels, most significantly in pre-primary education)High enrollment in primary and secondary education
Belgium and the United KingdomVery high expenditures on secondary education in relation to GDPVery low number of students in public institutions, at all levels