Enlarging the ERA
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 |
Wielko-polska |
South Great |
Bohemian RIS |
West. Romania |
South Central Bulgaria |
Slovenia |
Cyprus |
Nove Zamky |
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 |
Wielko-polska |
South Great |
Bohemian RIS |
West. Romania |
South Central Bulgaria |
Slovenia |
Cyprus |
Nove Zamky |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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.