Enlarging the ERA 34


Přílohy


Vybrané tabulky ze studie



Table 1: An overview of the decentralisation of powers for RTD and innovation policy within the EU25 Member States (plus three candidate countries)

Degree of devolution

RTDI policy powers and resources

Federal countries

Countries with elected 'regional' authorities

Countries with non elected 'regional' level / decentralised State agencies

Significant control of RTDI powers/ resources at regional level

Austria, Belgium, Germany, Spain, UK (Scotland, Wales)

Italy


Some decentralisation of RTDI powers and/or resources to regions


Czech Republic, Greece, France, Netherlands, Poland, Slovakia, Sweden, Turkey,

UK (English regions via RDA)

No decentralisation of RTDI powers but regional level strategies


Denmark, Portugal (autonomous regions)

Bulgaria, Estonia, Finland, Hungary, Romania, Ireland, Portugal (CCR)

No decentralisation of regional RTDI powers – only ad hoc projects



Cyprus, Latvia, Lithuania, Luxembourg, Malta, Slovenia



Table 2: An overview of regions involved in 'RIS-NACs' projects

Country

Regions

Coverage

Cyprus

Cyprus

1 / 1

Czech Republic

North and North West Bohemia (NUTS3)

Prague and Pilsen or Bohemian RIS (NUTS3)

5 NUTS3 regions

Estonia

Tartu and South Estonia (NUTS3)

1 NUTS3 region

Hungary

Central Hungary

Central Transdanubia

South Great Plain

South Transdanubia

4 regions / 7

Lithuania

-

-

Latvia

Latvia

1 / 1

Malta

-

-

Poland

Opole

Silesia

Warmia and Mazury

West Pomerania

Wielkopolska

5 regions / 16

Slovenia

Slovenia

1 / 1

Slovakia

Nove Zamky Nitra Bratislava

1 region / 4

Bulgaria

South Central Bulgaria

1 region / 6

Romania

West Romania

1 region / 8



Table 3: Measures foreseen by RIS NACs1

RIS NACS

Latvia

Tartu

Opole

Silesia

Warmia
Mazury

Wielko-polska

South Great
Plain

Bohemian RIS

West. Romania

South Central Bulgaria

Slovenia

Cyprus

Nove Zamky
Nitra
Bratislava

Fostering an innovation culture

Education and initial and further training.


X

X

X

X

X

X

X

X

X

X


X

Mobility of students, research workers and teachers






X

X


X

X


X


Raising the awareness of the larger public

X

X

X

X

X

X

X

X

X

X

X

X

X

Fostering innovative organisational and management practices in enterprises


X

X

X


X


X

X

X

X

X

X

Public authorities and support to innovation policy makers

X

X


X


X


X


X




Promotion of clustering and co-operation for innovation


X

X

X

X

X

X

X

X

X

X

X

X

Establishing a framework conducive to innovation

Competition

Protection of intellectual and industrial property




X

X






X

X



RIS NACS

Latvia

Tartu

Opole

Silesia

Warmia
Mazury

Wielko-polska

South Great
Plain

Bohemian RIS

West. Romania

South Central Bulgaria

Slovenia

Cyprus

Nove Zamky
Nitra
Bratislava

Administrative simplification

Amelioration of legal and regulatory environments






X





X



Innovation financing


X

X

X

X

X


X



X

X

X

Taxation











X

X


Gearing research to innovation

Strategic vision of R&D




X




X






Strengthening research carried out by companies






X








Start-up of technology-based companies

X


X

X


X

X


X

X

X


X

Co-operation between research and companies

X

X

X

X

X

X


X

X

X

X

X

X

Increase companies' ability to absorb technologies and know-how

X



X

X

X

X


X

X

X




Table 4: Estimates of overall Structural Funds expenditure on RTDI measures in the NMS (per inhabitant)

Country

RTDI expenditure in EUR in ERDF

Population
(in million)

RTDI expenditure per inhabitant in EUR in ERDF

Estonia

62028504

1.4

44.31

Latvia

79238616

2.3

33.78

Slovakia

118161222

5.4

21.88

Lithuania

59843387

3.5

17.10

Czech Republic

170857114

10.3

16.59

Hungary

146667836

10.2

14.38

Poland

442187627

38.6

11.46

Slovenia

21715888

2.0

10.86

Malta

4160000

0.4

10.40

Cyprus

7396752

0.7

9.53

Based on the review of Structural Funds' Programming Documents.


Table 5: Estimates of overall Structural Funds expenditures on RTDI measures in the NMS (as percentage of GDP)

Country

RTDI expenditures in ERDF in EUR*

2004-2006 RTDI funding in ERDF as % of GDP (2002)**

Gross expenditures on R&D as % GDP 2001

Estonia

62,028,504

0.89%

0.73%

Latvia

79,238,616

0.88%

0.41%

Slovakia

118,161,222

0.45%

0.64%

Lithuania

59,843,387

0.40%

0.68%

Czech Republic

170,857,114

0.22%

1.22%

Poland

442,187,627

0.22%

0.64%

Hungary

146,667,836

0.21%

0.95%

Malta

4,160,000

0.10%

-

Slovenia

21,715,888

0.09%

1.56%

Cyprus

7,396,752

0.07%

0.27%

* Structural Funds' Programming Documents.** GDP in 2002: Eurostat (2004), The new EU of 25 compared to EU15, 36/2004.



Table 6: Typology of RTDI measures across the NMS

Country

184 - Training for researchers

183 - RTDI infrastructure

182 - Innovation and technology transfers, establishment of networks and partnerships

181 - Research projects based in universities and research institutes

18 - RTDI

Cyprus






Czech Republic


x

x


x

Estonia

x

x

x

x


Hungary


x

x

x


Latvia


xx


x


Lithuania

x

x

x

x


Malta




x


Poland


x

x

x


Slovakia

x


x

x


Slovenia





x

Source: Based on the review of Structural Funds' Programming Documents.


Table 7: The individual variables


Variables

1.

Knowledge Creation

1.1

R&D expenditures (% of GDP)

1.2

R&D employees (fte per 1000 empl)

1.3

Concentration of patent inventors

1.4

Concentration of publications in Life Sciences

1.5

Concentration of publications in Nanosciences

2.

Absorptive Capacity

2.1

R&D expenditures by firms BERD (% of GDP)

2.2

R&D expenditures for higher education HERD (% of GDP)

2.3

Population with tertiary education (% of 25-64 age class)

2.4

Population with secondary education (% of 25-64 age class)

2.5

Population with secondary or tertiary education (sum; % of 25-64 age class)

2.6

Population with lifelong learning (% of 25-64 age class)

2.7

IS_population (% of households using www)

3.

Diffusion Capacity

3.1

Technology diffusion infrastructure

3.2

Employment in high-tech services (%)

3.3

Employment in manufacturing industries (%)

3.4

Employment in agriculture (%)

3.5

IS_enterprises (% of firms using e-banking)

4.

Demand

4.1

GDP in Euro per capita

4.2

Cumulated growth of GDP

4.3

Unemployment rate (%)

4.4

Population density (persons/km2)

4.5

Change in population density

5.

Governance capacity

5.1

Participation to EU initiatives

5.2

E-Government (% of firms using e-administration)

5.3

Web-presence of regions (availability of website)



Figure 1: Schematic representation of the five groups of regions















Figure 2: The five types of regions




Table 8: "Capital regions"

NUTS code

Name

CZ01

Praha

HU10

Kozep-Magyarorszag

PL12

Mazowieckie

SI00

Slovenija

BG04

Yugozapaden

RO08

Bucuresti

SK01

Bratislavsky kraj

Table 9: "Regions with tertiary growth potential"

NUTS code

Name

EE00

Eesti

LT00

Lietuva

LV00

Latvija

PL11

Lodzkie

PL21

Malopolskie

PL31

Lubelskie

PL41

Wielkopolskie

PL51

Dolnoslaskie

PL63

Pomorskie


Table 10: "skilled manufacturing platforms regions"

NUTS code

Name

CZ02

Stredni Cechy

CZ03

Jihozapad

CZ05

Severovychod

CZ06

Jihovychod

CZ07

Stredni Morava

PL22

Slaskie

HU23

Del-Dunantul

HU32

Eszak-Alfold

HU33

Del-Alfold

SK04

Vychodne Slovensko


Table 11: "Industrially challenged regions"

NUTS code

Name

BG01

Severozapaden

BG02

Severen tsentralen

BG03

Severoiztochen

BG05

Yuzhen tsentralen

BG06

Yugoiztochen

CY00

Kypros / Kibris

CZ04

Severozapad

CZ08

Moravskoslezsko

HU21

Kozep-Dunantul

HU22

Nyugat-Dunantul

HU31

Eszak-Magyarorszag

MT00

Malta

PL42

Zachodniopomorskie

PL43

Lubuskie

PL52

Opolskie

PL61

Kujawsko-Pomorskie

PL62

Warminsko-Mazurskie

SK02

Zapadne Slovensko

SK03

Stredne Slovensko


Table 12: Group E: lagging behind agricultural regions

NUTS code

Name

PL32

Podkarpackie

PL33

Swietokrzyskie

PL34

Podlaskie

RO01

Nord-Est

RO02

Sud-Est

RO03

Sud

RO04

Sud-Vest

RO05

Vest

RO06

Nord-Vest

RO07

Centru


Annex C2: Overview of the individual variables

C2.1 Knowledge Creation

Group A: Capital regions

NUTS code

Name

1.1 R&D expenditures (% of GDP)

1.2 R&D employees (fte per 1000 empl)

1.3 Concentration of patent inventors

1.4 Concentration of publications in Life Sciences

1.5 Concentration of publications in Nano­sciences

BG04

Yugozapaden

0,14

14,67

B

B

B

CZ01

Praha

1,64

17,94

A

A

A

HU10

Kozep-Magyarorszag

1,34

13,98

A

A

A

PL12

Mazowieckie

1,26

12,84

A

A

A

RO08

Bucuresti

missing

17,67

B

C

B

SI00

Slovenija

1,56

9,42

A

B

B

SK01

Bratislavsky kraj

1,01

22,59

B

B

B

Group B: Regions with tertiary growth potential

NUTS code

Name

1.1 R&D expenditures (% of GDP)

1.2 R&D employees (fte per 1000 empl)

1.3 Concentration of patent inventors

1.4 Concentration of publications in Life Sciences

1.5 Concentration of publications in Nano­sciences

EE00

Eesti

0,73

6,02

B

C

D

LT00

Lietuva

0,68

8,06

B

C

C

LV00

Latvija

0,41

5,68

B

C

D

PL11

Lodzkie

0,59

3,95

C

B

C

PL21

Malopolskie

0,77

6,15

B

B

C

PL31

Lubelskie

0,44

3,93

C

C

D

PL41

Wielkopolskie

0,45

4,31

C

B

B

PL51

Dolnoslaskie

0,53

6,22

B

C

C

PL63

Pomorskie

0,43

6,16

C

C

E

Group C: Skilled manufacturing platforms regions

NUTS code

Name

1.1 R&D expenditures (% of GDP)

1.2 R&D employees (fte per 1000 empl)

1.3 Concentration of patent inventors

1.4 Concentration of publications in Life Sciences

1.5 Concentration of publications in Nano­sciences

CZ02

Stredni Cechy

3,29

5,57

B

D

E

CZ03

Jihozapad

0,58

3,43

B

C

D

CZ05

Severovychod

0,82

3,64

B

C

E

CZ06

Jihovychod

0,98

5,50

B

C

B

CZ07

Stredni Morava

0,62

3,20

B

D

E

HU23

Del-Dunantul

0,45

3,68

B

C

E

HU32

Eszak-Alfold

0,59

3,78

B

C

D

HU33

Del-Alfold

0,64

4,81

B

B

B

PL22

Slaskie

0,36

4,93

B

C

C

SK04

Vychodne Slovensko

0,37

4,52

D

C

C

Group D: Industrially challenged regions

NUTS code

Name

1.1 R&D expenditures (% of GDP)

1.2 R&D employees (fte per 1000 empl)

1.3 Concentration of patent inventors

1.4 Concentration of publications in Life Sciences

1.5 Concentration of publications in Nano­sciences

BG01

Severozapaden

0,00

0,04

D

E

E

BG02

Severen tsentralen

0,11

2,48

D

E

E

BG03

Severoiztochen

0,25

2,88

D

E

E

BG05

Yuzhen tsentralen

0,14

1,75

D

D

E

BG06

Yugoiztochen

0,13

1,67

D

E

E

CY00

Kypros / Kibris

0,27

2,39

C

C

E

CZ04

Severozapad

0,27

1,29

D

E

E

CZ08

Moravskoslezsko

0,70

3,22

C

E

E

HU21

Kozep-Dunantul

0,51

3,22

C

D

E

HU22

Nyugat-Dunantul

0,42

2,67

D

E

E

HU31

Eszak-Magyarorszag

0,21

2,00

D

E

E

MT00

Malta

missing

missing

D

E

E

PL42

Zachodniopomorskie

0,17

3,60

D

D

E

PL43

Lubuskie

0,09

2,65

D

E

E

PL52

Opolskie

0,21

2,54

C

E

E

PL61

Kujawsko-Pomorskie

0,32

4,46

D

D

E

PL62

Warminsko-Mazurskie

0,23

2,27

D

D

E

SK02

Zapadne Slovensko

0,62

3,94

D

D

E

SK03

Stredne Slovensko

0,56

3,89

D

D

E

Group E: Lagging behind agricultural regions

NUTS code

Name

1.1 R&D expenditures (% of GDP)

1.2 R&D employees (fte per 1000 empl)

1.3 Concentration of patent inventors

1.4 Concentration of publications in Life Sciences

1.5 Concentration of publications in Nano­sciences

PL32

Podkarpackie

0,31

1,71

D

E

E

PL33

Swietokrzyskie

0,09

1,70

D

E

E

PL34

Podlaskie

0,45

2,85

D

C

E

RO01

Nord-Est

missing

1,61

C

D

D

RO02

Sud-Est

missing

1,10

D

E

E

RO03

Sud

missing

2,07

D

E

E

RO04

Sud-Vest

missing

1,37

D

E

E

RO05

Vest

missing

1,50

D

E

E

RO06

Nord-Vest

missing

1,74

D

E

E

RO07

Centru

missing

2,21

D

E

E


Labels 1.3: A ≥ 50; 50 > B ≥ 20; 20 > C ≥ 10; D < 10; E : missing

Labels 1.4: A > 3000; B > 800; C > 200; D > 50; E ≤ 50

Labels 1.5: A > 300; B > 150; C > 80; D > 30; E ≤ 30

C2.2 Absorptive Capacity

Group A: Capital regions

NUTS code

Name

2.1 R&D expenditures by firms BERD (% of GDP)

2.2 R&D expenditures for higher education HERD (% of GDP)

2.3 Population with tertiary education (% of 25-64 age class)

2.4 Population with secondary education (% of 25-64 age class)

2.5 Population with secondary or tertiary education (sum; % of 25-64 age class)

2.6Population with lifelong learning (% of 25-64 age class)

2.7 IS_population (% of households using www)

BG04

Yugozapaden

0,18

0,73

29,4

54,0

83,4

2,2

29,9

CZ01

Praha

0,53

0,72

27,2

67,9

95,1

12,3

62,3

HU10

Kozep-Magyarorszag

0,63

0,42

21,2

62,0

83,2

4,4

30,9

PL12

Mazowieckie

0,43

0,60

16,2

67,4

83,5

6,4

22,9

RO08

Bucuresti

missing

missing

23,1

63,4

86,5

1,4

34,3

SI00

Slovenija

0,9

0,25

14,8

62,2

77,0

9,1

47,1

SK01

Bratislavsky kraj

0,44

0,45

24,8

66,6

91,3

11,3

58,4

Group B: Regions with tertiary growth potential

NUTS code

Name

2.1 R&D expenditures by firms BERD (% of GDP)

2.2 R&D expenditures for higher education HERD (% of GDP)

2.3 Population with tertiary education (% of 25-64 age class)

2.4 Population with secondary education (% of 25-64 age class)

2.5 Population with secondary or tertiary education (sum; % of 25-64 age class)

2.6Population with lifelong learning (% of 25-64 age class)

2.7 IS_population (% of households using www)

EE00

Eesti

0,25

0,37

29,6

58,1

87,7

5,2

50

LT00

Lietuva

0,2

0,21

21,8

65,7

87,6

3,3

26,6

LV00

Latvija

0,15

0,17

19,6

64,8

84,4

8,2

30,6

PL11

Lodzkie

0,15

0,15

12,8

67,3

80,1

3,5

19,7

PL21

Malopolskie

0,17

0,15

14,2

71,1

85,3

5,2

18,6

PL31

Lubelskie

0,13

0,14

13,3

66,1

79,4

5,0

25

PL41

Wielkopolskie

0,11

0,15

10,5

74,6

85,1

3,4

36,4

PL51

Dolnoslaskie

0,23

0,05

12,5

72,5

84,9

4,6

47,2

PL63

Pomorskie

0,13

0,09

12,7

70,5

83,2

3,7

31

Group C: Skilled manufacturing platforms regions

NUTS code

Name

2.1 R&D expenditures by firms BERD (% of GDP)

2.2 R&D expenditures for higher education HERD (% of GDP)

2.3 Population with tertiary education (% of 25-64 age class)

2.4 Population with secondary education (% of 25-64 age class)

2.5 Population with secondary or tertiary education (sum; % of 25-64 age class)

2.6Population with lifelong learning (% of 25-64 age class)

2.7 IS_population (% of households using www)

CZ02

Stredni Cechy

3,03

0,26

8,8

80,4

89,2

4,9

41,1

CZ03

Jihozapad

0,30

0,11

10,5

78,9

89,4

4,0

48,8

CZ05

Severovychod

0,69

0,03

9,3

81,1

90,4

4,1

50,3

CZ06

Jihovychod

0,42

0,31

12,5

77,9

90,3

6,6

45,7

CZ07

Stredni Morava

0,45

0,06

9,2

79,7

89,0

4,0

32,1

HU23

Del-Dunantul

0,04

0,07

10,7

66,5

77,1

2,7

14,3

HU32

Eszak-Alfold

0,23

0,07

11,3

64,6

75,9

2,7

21,3

HU33

Del-Alfold

0,14

0,29

10,2

64,9

75,1

2,4

15,6

PL22

Slaskie

0,20

0,05

10,4

77,8

88,2

4,1

22,3

SK04

Vychodne Slovensko

0,23

0,08

9,1

81,7

90,8

7,5

37,8

Group D: Industrially challenged regions

NUTS code

Name

2.1 R&D expenditures by firms BERD (% of GDP)

2.2 R&D expenditures for higher education HERD (% of GDP)

2.3 Population with tertiary education (% of 25-64 age class)

2.4 Population with secondary education (% of 25-64 age class)

2.5 Population with secondary or tertiary education (sum; % of 25-64 age class)

2.6Population with lifelong learning (% of 25-64 age class)

2.7 IS_population (% of households using www)

BG01

Severozapaden

0,00

0,00

15,8

60,6

76,4

0,4

11,8

BG02

Severen tsentralen

0,02

0,07

21,0

58,9

79,9

1,1

21

BG03

Severoiztochen

0,07

0,12

17,3

50,7

68,0

1,2

11,5

BG05

Yuzhen tsentralen

0,04

0,08

18,0

54,5

72,5

1,2

23,6

BG06

Yugoiztochen

0,00

0,02

16,5

54,4

70,9

0,5

16

CY00

Kypros / Kibris

0,05

0,07

29,1

38,3

67,4

3,7

missing

CZ04

Severozapad

0,20

0,05

7,3

79,0

86,2

6,6

44,1

CZ08

Moravskoslezsko

0,57

0,02

9,8

79,4

89,2

5,3

50

HU21

Kozep-Dunantul

0,23

0,09

11,8

65,5

77,2

3,7

20,7

HU22

Nyugat-Dunantul

0,27

0,06

12,1

66,5

78,7

2,9

18,8

HU31

Eszak-Magyarorszag

0,07

0,02

11,3

66,6

77,9

2,8

17,6

MT00

Malta

missing

missing

missing

13,8

missing

missing

missing

PL42

Zachodniopomorskie

0,00

0,00

12,0

72,4

84,4

3,8

19,1

PL43

Lubuskie

0,04

0,00

11,3

76,2

87,5

3,2

29,4

PL52

Opolskie

0,15

0,00

9,8

73,7

83,5

3,5

26,3

PL61

Kujawsko-Pomorskie

0,00

0,00

8,8

74,0

82,8

4,4

13,5

PL62

Warminsko-Mazurskie

0,00

0,10

10,3

67,7

78,0

3,3

25

SK02

Zapadne Slovensko

0,54

0,05

8,1

80,7

88,8

4,9

30,7

SK03

Stredne Slovensko

0,50

0,03

9,7

78,9

88,6

15,5

35,7

Group E: Lagging behind agricultural regions

NUTS code

Name

2.1 R&D expenditures by firms BERD (% of GDP)

2.2 R&D expenditures for higher education HERD (% of GDP)

2.3 Population with tertiary education (% of 25-64 age class)

2.4 Population with secondary education (% of 25-64 age class)

2.5 Population with secondary or tertiary education (sum; % of 25-64 age class)

2.6Population with lifelong learning (% of 25-64 age class)

2.7 IS_population (% of households using www)

PL32

Podkarpackie

0,25

0,00

10,6

71,3

81,9

3,4

21,1

PL33

Swietokrzyskie

0,04

0,00

10,8

69,9

80,7

3,4

10

PL34

Podlaskie

0,00

0,00

13,3

64,5

77,7

3,8

17,9

RO01

Nord-Est

missing

missing

7,6

61,2

68,9

1,3

14,5

RO02

Sud-Est

missing

missing

9,0

61,8

70,8

1,4

17,6

RO03

Sud

missing

missing

6,9

66,2

73,1

0,8

10,4

RO04

Sud-Vest

missing

missing

8,1

66,5

74,5

0,9

18,2

RO05

Vest

missing

missing

9,9

65,1

75,0

1,1

16,2

RO06

Nord-Vest

missing

missing

9,5

62,0

71,5

1,0

18,3

RO07

Centru

missing

missing

8,5

71,2

79,7

1,0

19,1


C2.3 Diffusion Capacity

Group A: Capital regions

NUTS code

Name

3.1 Technology diffusion infrastructure

3.2 Employment in high-tech services (%)

3.3 Employment in manufacturing industries (%)

3.4 Employment in agriculture (%)

3.5 IS_enterprises (% of firms using e-banking)

BG04

Yugozapaden

3

4,06

32,0

2,4

3,1

CZ01

Praha

3

6,85

21,8

0,7

54,3

HU10

Kozep-Magyarorszag

3

5,12

26,4

1,6

28

PL12

Mazowieckie

1

3,67

24,2

20,4

37,8

RO08

Bucuresti

1

4,35

36,1

5,5

5,9

SI00

Slovenija

1

2,35

38,2

9,8

75,6

SK01

Bratislavsky kraj

2

8,08

26,3

1,9

60,2

Group B: Regions with tertiary growth potential

NUTS code

Name

3.1 Technology diffusion infrastructure

3.2 Employment in high-tech services (%)

3.3 Employment in manufacturing industries (%)

3.4 Employment in agriculture (%)

3.5 IS_enterprises (% of firms using e-banking)

EE00

Eesti

3

2,87

34,2

7,1

1,8

LT00

Lietuva

7

1,69

27,2

16,5

44,9

LV00

Latvija

3

2,26

25,3

15,1

50,4

PL11

Lodzkie

1

1,34

33,0

17,2

48,6

PL21

Malopolskie

1

1,65

29,5

24,8

62,8

PL31

Lubelskie

0

1,32

20,1

38,0

38,1

PL41

Wielkopolskie

2

1,87

35,2

19,3

52,2

PL51

Dolnoslaskie

0

1,72

31,5

10,8

68,2

PL63

Pomorskie

2

2,35

30,7

8,6

51,4

Group C: Skilled manufacturing platforms regions

NUTS code

Name

3.1 Technology diffusion infrastructure

3.2 Employment in high-tech services (%)

3.3 Employment in manufacturing industries (%)

3.4 Employment in agriculture (%)

3.5 IS_enterprises (% of firms using e-banking)

CZ02

Stredni Cechy

0

3,19

40,0

5,6

55,1

CZ03

Jihozapad

1

2,50

41,7

7,6

60

CZ05

Severovychod

0

2,28

46,7

5,5

59,5

CZ06

Jihovychod

2

3,22

41,0

6,9

56,5

CZ07

Stredni Morava

0

1,70

46,2

5,6

50

HU23

Del-Dunantul

0

2,29

34,2

8,9

31,9

HU32

Eszak-Alfold

1

2,07

35,8

7,0

24,8

HU33

Del-Alfold

0

1,95

36,7

10,3

24,8

PL22

Slaskie

0

2,53

43,2

5,4

69

SK04

Vychodne Slovensko

2

2,36

35,0

7,4

57,6

Group D: Industrially challenged regions

NUTS code

Name

3.1 Technology diffusion infrastructure

3.2 Employment in high-tech services (%)

3.3 Employment in manufacturing industries (%)

3.4 Employment in agriculture (%)

3.5 IS_enterprises (% of firms using e-banking)

BG01

Severozapaden

0

1,97

37,2

6,7

3,6

BG02

Severen tsentralen

1

2,52

38,7

7,8

1,4

BG03

Severoiztochen

0

1,82

29,9

10,1

5,6

BG05

Yuzhen tsentralen

0

2,01

37,1

8,4

5,8

BG06

Yugoiztochen

0

2,05

34,1

8,8

6,5

CY00

Kypros / Kibris

6

1,90

24,4

3,2

missing

CZ04

Severozapad

0

1,96

42,7

3,8

52,3

CZ08

Moravskoslezsko

1

2,72

44,5

2,6

77,8

HU21

Kozep-Dunantul

1

1,90

46,4

5,5

31,9

HU22

Nyugat-Dunantul

0

1,97

43,7

5,0

31,9

HU31

Eszak-Magyarorszag

1

2,63

39,4

4,7

24,8

MT00

Malta

1

missing

missing

missing

missing

PL42

Zachodniopomorskie

1

1,71

31,8

6,2

46,4

PL43

Lubuskie

0

1,43

33,8

10,3

30,8

PL52

Opolskie

0

1,30

36,1

20,1

0

PL61

Kujawsko-Pomorskie

0

1,40

31,1

19,6

30,8

PL62

Warminsko-Mazurskie

0

1,32

31,4

14,3

18,8

SK02

Zapadne Slovensko

0

1,55

40,2

6,9

47,9

SK03

Stredne Slovensko

0

2,12

41,1

6,7

57,9

Group E: Lagging behind agricultural regions

NUTS code

Name

3.1 Technology diffusion infrastructure

3.2 Employment in high-tech services (%)

3.3 Employment in manufacturing industries (%)

3.4 Employment in agriculture (%)

3.5 IS_enterprises (% of firms using e-banking)

PL32

Podkarpackie

0

1,36

28,5

30,4

15,8

PL33

Swietokrzyskie

0

0,84

29,2

30,3

27,3

PL34

Podlaskie

0

1,51

21,6

36,4

23,1

RO01

Nord-Est

1

0,91

20,1

57,8

0

RO02

Sud-Est

0

1,97

23,2

44,1

0

RO03

Sud

0

1,22

23,4

52,5

4

RO04

Sud-Vest

0

0,93

20,3

59,8

7,7

RO05

Vest

0

1,21

30,1

36,0

0

RO06

Nord-Vest

0

1,45

26,3

42,3

3,4

RO07

Centru

0

1,40

36,2

32,4

5,7


C2.4 Demand

Group A: Capital regions

NUTS code

Name

4.1 GDP in Euro per capita

4.2 Cumulated growth of GDP
(1995 = 100)

4.3 Unemployment rate (%)

4.4 Population density (persons/km2)

4.5 Change in population density

BG04

Yugozapaden

2689,7

161,6

11,3

103,4

-3,0

CZ01

Praha

14860,9

190,1

4,2

2348,8

-4,0

HU10

Kozep-Magyarorszag

9007,9

182,7

4

409,1

-2,3

PL12

Mazowieckie

8440,5

250,0

16,3

142,6

0,4

RO08

Bucuresti

3033,2

180,8

8,6

1245,9

-2,7

SI00

Slovenija

10966,5

142,6

6,7

98,3

0,3

SK01

Bratislavsky kraj

9837,7

163,6

7,1

291,8

-3,2

Group B: Regions with tertiary growth potential

NUTS code

Name

4.1 GDP in Euro per capita

4.2 Cumulated growth of GDP
(1995 = 100)

4.3 Unemployment rate (%)

4.4 Population density (persons/km2)

4.5 Change in population density

EE00

Eesti

4878,1

232,0

10

30,2

-5,0

LT00

Lietuva

3879,6

276,4

12,4

53,3

-6,3

LV00

Latvija

3918,2

246,6

10,5

36,5

-6,2

PL11

Lodzkie

4887,2

193,0

19,7

144,8

-1,9

PL21

Malopolskie

4679,2

197,6

18

213,8

1,7

PL31

Lubelskie

3794,3

179,8

16

88,8

-0,7

PL41

Wielkopolskie

5751

217,0

17,1

112,8

1,1

PL51

Dolnoslaskie

5506,9

193,6

26

148,9

-0,6

PL63

Pomorskie

5379,6

200,7

20,5

120,4

1,9

Group C: Skilled manufacturing platforms regions

NUTS code

Name

4.1 GDP in Euro per capita

4.2 Cumulated growth of GDP
(1995 = 100)

4.3 Unemployment rate (%)

4.4 Population density (persons/km2)

4.5 Change in population density

CZ02

Stredni Cechy

5480,4

174,9

5,2

102,1

1,5

CZ03

Jihozapad

6048,5

154,7

5,3

66,7

-0,7

CZ05

Severovychod

5571,7

155,8

6,5

119,5

-0,5

CZ06

Jihovychod

5856,9

158,8

7,2

117,7

-1,1

CZ07

Stredni Morava

5275,5

150,5

8,7

135,6

-0,7

HU23

Del-Dunantul

4185,7

153,2

7,9

70,3

-0,3

HU32

Eszak-Alfold

3759,4

159,8

6,8

87,9

1,0

HU33

Del-Alfold

4017,1

145,2

6,5

75,2

0,4

PL22

Slaskie

5910,4

173,8

20,2

393,7

-1,5

SK04

Vychodne Slovensko

3283,9

160,9

21,8

98,9

1,9

Group D: Industrially challenged regions

NUTS code

Name

4.1 GDP in Euro per capita

4.2 Cumulated growth of GDP
(1995 = 100)

4.3 Unemployment rate (%)

4.4 Population density (persons/km2)

4.5 Change in population density

BG01

Severozapaden

1754,7

150,7

16,5

50,5

-13,4

BG02

Severen tsentralen

1659,2

154,0

13,6

67

-6,0

BG03

Severoiztochen

1680,3

152,1

19,4

65,5

-5,3

BG05

Yuzhen tsentralen

1607,6

137,6

11,1

71,8

-6,8

BG06

Yugoiztochen

1637,3

152,1

16,2

54,4

-6,0

CY00

Kypros / Kibris

14536,9

150,2

4,1

81,61

(1999 - CIA)

missing

CZ04

Severozapad

5252

136,3

11,2

130

-0,5

CZ08

Moravskoslezsko

5550,7

140,8

14,8

228,4

-2,0

HU21

Kozep-Dunantul

5348,4

177,7

4,6

99,5

0,3

HU22

Nyugat-Dunantul

5999,4

175,3

4,6

89,7

0,3

HU31

Eszak-Magyarorszag

3690,9

152,0

9,7

96,8

0,0

MT00

Malta

10927

173,0

7,6

1192,51 (1999 - CIA)

missing

PL42

Zachodniopomorskie

5370,6

193,7

25,5

75,7

0,9

PL43

Lubuskie

4809

181,7

24,5

73,3

1,1

PL52

Opolskie

4398,3

162,0

18,3

115

-1,1

PL61

Kujawsko-Pomorskie

4895,2

181,4

21,8

116,9

0,4

PL62

Warminsko-Mazurskie

3920,1

182,9

23,9

60,7

1,2

SK02

Zapadne Slovensko

3951,7

149,5

15,9

124,7

-0,3

SK03

Stredne Slovensko

3564,7

158,4

20,5

83,4

0,4


Group E: Lagging behind agricultural regions

NUTS code

Name

4.1 GDP in Euro per capita

4.2 Cumulated growth of GDP
(1995 = 100)

4.3 Unemployment rate (%)

4.4 Population density (persons/km2)

4.5 Change in population density

PL32

Podkarpackie

3865,7

185,8

17,7

118,8

1,3

PL33

Swietokrzyskie

4137,1

190,0

19,1

113,2

-0,7

PL34

Podlaskie

4104,8

199,0

17,8

60,5

0,0

RO01

Nord-Est

1547,5

164,0

6,3

104,1

1,4

RO02

Sud-Est

1854,6

156,6

8,3

82,1

-0,6

RO03

Sud

1712,3

147,6

7,8

100,5

-1,8

RO04

Sud-Vest

1822,6

156,3

6

82,1

-1,6

RO05

Vest

2301

172,6

5,9

63,4

-2,6

RO06

Nord-Vest

2002,3

175,6

6

83,1

-1,5

RO07

Centru

2262,2

173,4

7,2

77,4

-1,4


C2.5 Governance Capacity

Group A: Capital regions

NUTS code

Name

5.1 Participation to EU initiatives

5.2 E-Government (% of firms using e-administration)

5.3 Web-presence of regions (availability of website)

BG04

Yugozapaden

D

14,8

D

CZ01

Praha

B

44,6

B

HU10

Kozep-Magyarorszag

A

36,4

D

PL12

Mazowieckie

C

42,7

D

RO08

Bucuresti

C

30,6

C

SI00

Slovenija

A

31,2

A

SK01

Bratislavsky kraj

C

51,8

B

Group B: Regions with tertiary growth potential

NUTS code

Name

5.1 Participation to EU initiatives

5.2 E-Government (% of firms using e-administration)

5.3 Web-presence of regions (availability of website)

EE00

Eesti

B

63,9

C

LT00

Lietuva

C

25,4

A

LV00

Latvija

B

37,3

C

PL11

Lodzkie

C

37,1

A

PL21

Malopolskie

A

37,2

B

PL31

Lubelskie

D

4,5

D

PL41

Wielkopolskie

A

30,4

D

PL51

Dolnoslaskie

D

48,9

D

PL63

Pomorskie

C

34,3

B

Group C: Skilled manufacturing platforms regions

NUTS code

Name

5.1 Participation to EU initiatives

5.2 E-Government (% of firms using e-administration)

5.3 Web-presence of regions (availability of website)

CZ02

Stredni Cechy

D

40,8

C

CZ03

Jihozapad

B

41,4

D

CZ05

Severovychod

B

38,1

B

CZ06

Jihovychod

C

37,7

C

CZ07

Stredni Morava

D

35,4

B

HU23

Del-Dunantul

A

37,9

C

HU32

Eszak-Alfold

D

30,1

D

HU33

Del-Alfold

B

30,1

D

PL22

Slaskie

A

39,7

B

SK04

Vychodne Slovensko

D

28,6

D

Group D: Industrially challenged regions

NUTS code

Name

5.1 Participation to EU initiatives

5.2 E-Government (% of firms using e-administration)

5.3 Web-presence of regions (availability of website)

BG01

Severozapaden

D

21,4

D

BG02

Severen tsentralen

D

11,6

B

BG03

Severoiztochen

D

38,9

D

BG05

Yuzhen tsentralen

A

18,3

D

BG06

Yugoiztochen

D

12,8

D

CY00

Kypros / Kibris

A

missing

A

CZ04

Severozapad

B

37,8

D

CZ08

Moravskoslezsko

C

40

D

HU21

Kozep-Dunantul

A

37,9

C

HU22

Nyugat-Dunantul

C

37,9

C

HU31

Eszak-Magyarorszag

C

30,1

C

MT00

Malta

C

missing

B

PL42

Zachodniopomorskie

A

42,9

A

PL43

Lubuskie

D

35,7

A

PL52

Opolskie

A

33,3

D

PL61

Kujawsko-Pomorskie

D

30,8

C

PL62

Warminsko-Mazurskie

A

37,5

D

SK02

Zapadne Slovensko

A

52,1

D

SK03

Stredne Slovensko

D

41,8

D


Group E: Lagging behind agricultural regions

NUTS code

Name

5.1 Participation to EU initiatives

5.2 E-Government (% of firms using e-administration)

5.3 Web-presence of regions (availability of website)

PL32

Podkarpackie

D

10

B

PL33

Swietokrzyskie

D

36,4

C

PL34

Podlaskie

D

33,3

C

RO01

Nord-Est

C

5,9

D

RO02

Sud-Est

D

3,4

D

RO03

Sud

D

8

D

RO04

Sud-Vest

D

7,7

D

RO05

Vest

A

10,3

D

RO06

Nord-Vest

C

10,2

D

RO07

Centru

D

9,6

D


Labels 5.1:

A: RIS NACS and innovation networking at NUTS 2 level

B: Same as A but deeper as NUTS 2 level

C: YES/NO or NO/YES (NUTS 2 level or deeper)

D: NO/NO

E: missing

Labels 5.3:

A: science & innovation-related

B: info in English

C: only in national language

D: does not exist

E: missing



1This table covers the 13 RIS for which sufficient information is available.

34