Strengthening the Regional Innovation Profile STRINNOP – the Experiences with Regional Innovation Indicators Metropolis II Meeting Helsinki, Finland 24

Strengthening the Regional Innovation ProfileSTRINNOP –

the Experiences with Regional Innovation Indicators

Metropolis II MeetingHelsinki, Finland

24th April 2003

Hans-Christian Jäger

2

Agenda

The STRINNOP Approach

Pilot study on regional innovation indicators

Set of indicators (under discussion)

Further proceeding

Barriers to measuring the Regional Innovation Profile

3

The STRINNOP Approach

Creationof regionalknowledge

Stimulation of innovation activities

Imple- mentation of firms` innovationactivities

Focus on regional strength: clustering andnetworking

Internatio-nalisation

Marketingof the regional innovation profiledocumen-tation of innovation success

Identification of regional competencies and innovation potentials

Coordination of the regional innovation supporting infrastructure, Monitoring and evaluation of the regional innovation activities,

Financing of the regional innovation activities and supporting infrastructure

Attachment of Good Practice Tools

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Good Practice cases available under www.strinnop.net

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Pilot survey on regional innovation indicators according Innovation Scoreboard (June 2002)

Information sheet Bremen

No. Main indicatorsIndicator for regional innovation profile

Indicator measurement

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1. Human ressources

1.1New S&E graduates

(Per thousand of 20 - 29 years)quantitative

Innovation Scoreboard

absolutein 1000

Eurostat 1997 yearly 83,85 0,00 Pro Mille

20-29 years age class 81,20absolutein 1000

Eurostat 2000 yearly 83,85

1.2Population with tertiary education

(% of total population)quantitative


27,30absolutein 1000

Eurydice 1997 yearly 0,00 4,12 % Tot ISCED 5,6,7 / Total population

(not only 25-64 years)

Population 663,10absolutein 1000

Eurostat 2000 yearly 83,85 addition of all age groups

1.3Participation in life-long learning

(% of 25-64 years age class)quantitative



Eurostat 1997 yearly 83,85 5,22 % Participation to education = In education

or training (25 years and over) /Total number 25-64 years class age


Eurostat 2000 yearly 83,85In

thousand

1.4Employed in med/high-tech manuf.

(% of total workforce)quantitative



Eurostat 1999 yearly 83,85 8,27 % NACE Rev. 1 24, 29, 30, 31, 32, 33, 34, 35

Total workforce 274,00absolutein 1000

Eurostat 1999 yearly 83,85 total employment NACE Rev. 1

1.5Employed in high-tech services



5,71absolutein 1000

Eurostat 1999 yearly 83,85 2,08 %NACE Rev. 1 64, 72, 73

Substraction HT tot -HT manuf

Total workforce 0,00 0,00 274,00absolutein 1000

Eurostat 1999 yearly 83,85 0,00 0,00 total employment NACE Rev. 1

1.6Mobility of students, research

workers and teachersquantitative

European Trend Chart

of Innovation

2,20absolutin 1000

Eurostat 1997 yearly 83,85 1,59 Indicator could be : Nb of

foreign students ( % of total students)

Total number of students and pupils 138,50absolutin 1000


2.Knowledge creation

2.1Public R&D expenditures

(% of GDP)quantitative


213,96absoluteMio. Euro

Eurostat 1997 1,00 % Expenditures from governmental and higher education institutions

GDP 21413,60absoluteMio. Euro


2.2Number of R&D institutions (Per

100.000 of inhabitants)quantitative STRINNOP absolute 0,00

Per100.000

Population 0,00 0,00 663,10absolutein 1000Eurostat ###### yearly 83,85 0,00 0,00 addition of all age groups

2.3Business R&D




Eurostat 1997 0,98 %

Information sheet Best EU national result

data from Innovation Scorebord



Indicator Source D

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1. Human ressources




absolutein 1000

17,80 Pro Mille UK

20-29 years age classabsolutein 1000





Eurostat 2000 ? 4,41 %FIN (selbst berechnet) ;

Tot ISCED 5,6,7 / Total population


addition of all age groups




absolutein 1000

Labourforce

survey2000 ? 21,60 %

S;See Statistics in Focus, Science and

Technology, Theme ) - 6/2001, p. 5. Data available for only 5 EU countries, average


In

thousand




absolutein 1000

Eurostat 1999 ? 10,90 %D;

NACE Rev. 1 24, 29, 30, 31, 32, 33, 34, 35

Total workforceabsolutein 1000

total employment NACE Rev. 1




absolutein 1000

Eurostat 1999 ? 4,80 %S;

NACE Rev. 1 64, 72, 73


0,00 0 0,00 0,00 0,00 0,00 total employment NACE Rev. 1




of Innovation

absolutin 1000

#DIV/0! Indicator could be : Nb of


Total number of studentsabsolutin 1000





absolute Eurostat 1999 ? 0,95 % FIN

GDPabsoluteMio. Euro



Per100.000

Population 0,00 0,00 5132,30absolutein 1000 0,00 0,00 0,00 0,00 0,00 0,00 addition of all age groups

2.3Business R&D



absoluteMio. Euro

Eurostat 1999 ? 2,85 % S

Information sheet Niederösterreich



Indicator Source D

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1. Human ressources




absolutein 1000

#DIV/0! Pro Mille






absolutein 1000

0,00 % Tot ISCED 5,6,7 / Total population


Eurostat 2000 yearly 83,85 addition of all age groups




6,10absolutein 1000

Eurostat 1996 yearly 83,85 0,72 % Participation to education = In education



Eurostat 2000 yearly 83,85In

thousand





Eurostat 1999 yearly 83,85 6,05 % NACE Rev. 1 24, 29, 30, 31, 32, 33, 34, 35

Total workforce 693,82absolutein 1000

Eurostat 1999 yearly 83,85 total employment NACE Rev. 1





Eurostat 1999 yearly 83,85 3,05 % NACE Rev. 1 64, 72, 73


Eurostat 1999 yearly 83,85 0,00 0,00 total employment NACE Rev. 1




of Innovation

0,10absolutin 1000

Eurostat 1997 yearly 83,85 0,04 Indicator could be : Nb of


Total number of students 265,30absolutin 1000






104,82 absolute ÖSTAT 1993 0,33 % "Bruttoinlandsaufwendungen für F+E"





Per100.000

Population 0,00 0,00 1540,50absolutein 1000Eurostat ###### yearly 83,85 0,00 0,00 addition of all age groups

2.3Business R&D




ÖSTAT 1993 0,47 % from JTK, Inno AT

Information sheet Funen



Indicator Source D

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1. Human ressources




absolutein 1000

#DIV/0! Pro Mille





absolutein 1000

0,00 % Tot ISCED 5,6,7 / Total population


DST 2000 ? 0,00 DST is Danmarks Statistik




absolutein 1000

#DIV/0! % Participation to education = In education






absolutein 1000

#DIV/0! %





absolutein 1000

#DIV/0! %


0,00 0 0,00 0,00 0,00 0,00 0,00




of Innovation

absolutin 1000








71,65 absolute DISRRP 1999 ? 0,00 0,59 %DISRRP is the Danish Institute for

Studies in Research and Research Policy





Per100.000

Population 0,00 0,00 472,06absolutein 1000 DST ###### ? 0,00 0,00 0,00 DST is Danmarks Statistik

2.3Business R&D




DISRRP 1999 ? 0,00 0,44 %

Data Sheet


Indicator measurement B

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1. Human ressources

1.1New S&E graduates(Per thousand of 20 - 29 years)

quantitative 17,80 10,40 0,00 #DIV/0! #DIV/0! #DIV/0! 10,00 5,84 0,00 #DIV/0!

20-29 years age class 0,00 0,00 0,00 0,00 0,00

1.2Population with tertiary education(% of total population)

quantitative 4,41 3,24 4,12 0,00 0,00 0,00 10,00 7,34 9,33 0,00

Population 0,00 0,00 0,00 0,00 0,00

1.3Participation in life-long learning(% of 25-64 years age class)

quantitative 21,60 8,40 5,22 #DIV/0! 0,72 0,33 10,00 3,89 2,42 #DIV/0!

25-64 years age class ###### ###### ###### ###### ######

1.4Employed in medium / high-tech manufactuing(% of total workforce)


Total workforce 0,00 0,00 0,00 0,00 0,00

1.5Employed in high-tech services(% of total workforce)


Total workforce 0,00 0,00 0,00 0,00 0,00

1.6Mobility of students, research workers and teachers

qualitative #DIV/0! #DIV/0! 1,59 #DIV/0! 0,04 #DIV/0! 10,00 #DIV/0! #DIV/0! #DIV/0!

Total number of students 0,00 0,00 0,00 0,00 0,00

2. Knowledge creation 0,00 0,00 0,00 0,00 0,00

2.1Public R&D expenditures (% of GDP)

quantitative 0,95 0,66 1,00 0,59 0,33 3,51 10,00 6,95 10,52 6,19

GDP 0,00 0,00 0,00 0,00 0,00

2.2Number of R&D institutions (Per 100.000 of inhabitants)

quantitative 0,00 0,00 0,00 0,00 0,00 #DIV/0! 10,00 #DIV/0! #DIV/0! #DIV/0!

Population 0,00 0,00 0,00 0,00 0,00

2.3Business R&D(% of GDP)

quantitative 2,85 1,19 0,98 0,44 0,47 1,66 10,00 4,18 3,42 1,54

Benchmarking HB-FU-NÖfor 7 innovation criteria

1.3 Participation in life-long learning(% of 25-64 years age class)

1.4 Employed in medium / high-tech manufactuing(% of total workforce)

1.5 Employed in high-tech services(% of total workforce)

2.1 Public R&D expenditures (% of GDP)

2.3 Business R&D(% of GDP)

2.6 High-tech EPO patents(Per million of population)

2.5 R&D Personnel(% of total workforce)

Best EU country

EU average

Bremen

Niederösterreich

Funen

Benchmarking Bremen / EUfor 7 innovation criteria








Best EU country

EU average

Bremen

Benchmarking Funen / EUfor 7 innovation criteria








Best EU country

EU average

Funen

Benchmarking Niederösterreich / EUfor 7 innovation criteria








Best EU country

EU average

Niederösterreich

Regional information sheets

Information sheet EU average

data from Innovation Scorebord



Indicator Source D

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1. Human ressources




absolutein 1000

Eurostat 1999 yearly 10,40 Pro Mille


Found in www.scb.se





Eurydice 1997 yearly 0,00 3,24 % Tot ISCED 5,6,7 / Total population


addition of all age groups




absolutein 1000

Labour forcesurvey

2000 ? 0,00 8,40 %Participation to education = In education



In

thousand




absolutein 1000

Eurostat 1999 ? 7,80 % NACE Rev. 1 24, 29, 30, 31, 32, 33, 34, 35


total employment NACE Rev. 1




absolutein 1000

Eurostat 1999 ? 3,20 % NACE Rev. 1 64, 72, 73


0,00 0 0,00 0,00 0,00 0,00 total employment NACE Rev. 1




of Innovation

absolutin 1000








absolute Eurostat 1996 ? 0,66 %

GDPabsoluteMio. Euro



Per100.000

Population 0,00 0,00 374845,70absolutein 1000 0,00 0,00 0,00 0,00 0,00 0,00 addition of all age groups

2.3Business R&D



absoluteMio. Euro

1,19 % BERD/GDPSheets on best EU national resultsand EU average

For a particular region: regional comparison to EU best national result and EU average

0,95

0,66

1,00

0,59

0,33

0,00

0,20

0,40

0,60

0,80

1,00

1,20

1,40

1,60

1,80

2,00


Best EU country

EU Average

Bremen

Funen

Niederösterreich Comparison ofregional data

for particular criterions

Data sheetwith all regions

„overview web“

6

Pilot survey on regional innovation indicators according Innovation Scoreboard (June 2002)

1.2 Population with tertiary education(% of total population)








1.1 New S&E graduates(Per thousand of 20 - 29 years)

2.7 High-tech USPTO patents(Per million of population)

3.1 SMEs innovating in-house(% of manufactaring SMEs)

3.3 SMEs innovation co-operation(% of manufactaring SMEs)

3.4 Innovation expenditures(% of all turnover in manufacturing)

4.1 High-tech venture capital(% of GDP)

4.4 New capital raised(% of GDP)

6.1 Sales of new-to-market products

(% of sales by manuf. firms)

6.2 Home internet access(% of all households)

6.3 Share of ICT markets(% of GDP)

6.4 Share of manufacturing value-added in high-techsectors

Best EU countryEU averageBremenNiederösterreichFunen

7

Consequence of these findings

Development of a set of indicators

Assigned to single STRINNOP steps

Including quantitative indicators of European Innovation Scoreboard, which are already available on regional level (or can be made available within a manageable effort)

Including quantitative and qualitative indicators,eg. from the analyses of RITTS/RIS-projects, further surveys,expert enquiries

under its way …

8

Set of indicators according (under discussion)STRINNOP Approach – step 1


1.1 Transparency of regional know-how and competencies

1.2 Transparency of firms’ needs in innovation support

1.3 RNSII (Regional National Summary Innovation Index)

1.4 RRSII (Revealed Regional Summary Innovation Index)


9

Creationof regionalknowledge

Set of indicators according (under discussion) STRINNOP Approach – step 2

Creation of regional knowledge 2.1 Population with a tertiary education

(% of 25-64 years age classes) 2.2 Participation in life-long learning

(% of 25-64 years olds) 2.3 Public R&D Expenditure (GERD – BERD)

(% GDP) 2.4 Business Expenditure on R&D (BERD)

(% GDP 2.5 High-tech EPO patent applications

(per million population) 2.6 Adequate interfaces at technology providers 2.7 Education and training with respect to

future entrepreneurs 2.8 % national technology leadership

(of total sample of firms) 2.9 International technology leadership

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3.1 Existence of "regional innovation culture" and "entrepreneurship culture”

3.2 Existence of proactive approach to contact firms'

3.3 Communication platform to facilitate firms' access to technology and service providers

3.4 Range of stimulation activities and quality

3.5 Existence of (pre-)seed activities

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Imple- mentation of firms` innovationactivities


Implementation of firms’ innovation activities

4.1 GDP per capita

4.2 employment in medium/high tech manufacturing (% of total work force)

4.3 employment in high tech services ´ (% of total work force)

4.4 % turnover with new products (less than 3 years) (of total turnover)

4.5 % of innovative firms (of total sample)

4.6 Range and quality of implementation services

4.7 Infrastructure and accompanying services for start-ups and quality

4.8 Number of new start-ups in innovation relevant areas

12

Focus on regional strength: clustering andnetworking


Focus on regional strength: clustering and networking

5.1 existence of distinctive regional sector profil: sectors with highest labour force

5.2 focus on thematic topics

5.3 private imitative within the regional cluster activities

5.4 public initiatives for networking and clustering

13

Internatio-nalisation


Internationalisation

6.1 % of export / total turnover

6.2 Existence of international networks

6.3 Range and quality of services to foster firms’ internationalisation activities

14

Marketingof the regional innovation profiledocumen-tation of innovation success


Marketing if the regional innovation profile

7.1 Communication and promotion activities

7.2 participation in international innovation supporting networks/Projects

7.3 (inter)national Lobbying

15


Accompanying step: Coordination of the regional innovation supporting infrastructure

8.1 Existence of communication platform (steering committee)

8.2 existence of holistic regional innovation strategy (vision, turning into action, adoption and further development)

Coordination of the regional innovation supporting infrastructure

16


Accompanying step: Monitoring and evaluation of the regional innovation activities

9.1 Monitoring and evaluation of Step 1







Monitoring and evaluation of the regional innovation activities

17



10.1 Total amount of public money for regional innovation support

10.2 % regional public money for innovation support (of GDP)


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Barriers to measuring the Regional Innovation Profile (STRINNOP experiences)

Limited availability of data• not compulsory for the regions to provide the data on regional level• availability varies from region to region,• depending among others from the size of the regions

Time-consuming and high effort required• different sources• some regional data exist but are not official available

Costs for data Insufficient freshness of data to monitor impact of activities Qualitative indicators

• missing transparency of regional innovation system in single regions

• Significance: definition and common understanding of single qualitative indicators

Who is authorised in the region to assess the Regional Innovation Profile?

Agreement by involved regions on most important indicators

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… but there are also increasing number of activities on Regional Innovation Indicators

DG Enterprise (contact: Peter Löwe):European Innovation Scoreboard: EU Regions, Technical Paper No 3

DG Enterprise (contact: Dr. Michael Busch):Analyses of RITTS/RIS-projects with respect to common regional indicators for innovation and the innovation supporting infrastructure

TN Metropolis “Innovation Regional Indicators”

Activities in single European regions and on national level

Activities of single northern American states/regions in USA and Canada

...

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Further proceeding of STRINNOP

Feedback of regions on suggested indicators

First drawing of Regional Innovation Profile by each STRINNOP member

(STRINNOP internal) Benchmark of Regional Innovation Profiles

Open STRINNOP Conference in Bremenon 16th & 17th October 2003

Thank you for your attention!

Documents

Strengthening the Regional Innovation Profile STRINNOP – the Experiences with Regional Innovation Indicators Metropolis II Meeting Helsinki, Finland 24