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The role of inter-regional The role of inter-regional benchmarking in the benchmarking in the policy-making processpolicy-making process
Brussels, 20 June 2006Brussels, 20 June 2006
Karsten Gareis, empirica, BonnKarsten Gareis, empirica, Bonn
2
Background
• BISER (2002-2004)– Development and piloting of a set of survey-derived
indicators to be used for benchmarking regions in the Information Society
– Top down approach: Indicators are developed based on conceptual framework, then discussed with regions
– BISER Benchmarking Report and interactive data analysis tool available at www.biser-eu.com
3
Status quo
Impact
Intensity
Readiness
Level ofactivity
t
National level
Regional level
measurability using “hard” measures
easy difficult
explanatory power
low high
4
Selected challenges
• Identifying the “right” indicators• Obtaining the data• Choosing the appropriate geographical reference unit• Contextualise Information Society data• Looking beyond indicators on “hard” factors
5
Geographical reference units
• EU standard (NUTS) is based on geographical units which were defined for political reasons
• Very different from functional regions (but functional regions are not available at EU level)
• Risk of wrong conclusions as a result of aggregation• NUTS3 better than NUTS2?
6
An example
100 10 5 10 5 10 5
20 10 20 10 20 10 20
10 20 10 400 10 20 10
20 40 20 40 20 40 300
200 20 10 20 10 20 10
20 10 20 10 20 10 20
10 20 10 400 10 20 10
10 20 10 20 10 20 150
Number of cars (x1000) Number of households (x1000)
Number of cars per household
0.5 0.5 0.5 0.5 0.5 0.5 0.5
1.0 1.0 1.0 1.0 1.0 1.0 1.0
1.0 1.0 1.0 1.0 1.0 1.0 1.0
2.0 2.0 2.0 2.0 2.0 2.0 2.0
1.040.74 1.6
a. NUTS3 b. NUTS2
Aggregation
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Contextualisation
• The diffusion of ICT is partly determined by income (GDP/capita) and other independent variables
• Comparing data at company level, the huge differences in sectoral structures need to be taken into account
• Contextualisation (normalisation) necessary!
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Highlighting weak points
6-28
26-48
3725
924
237
148107
48
-1624
4711
-3732
-3147
-2028
2125
17
-100 -80 -60 -40 -20 0 20 40 60 80 100
Users of Internet for regional informationPersons with strong regional identity
eGovernment want-notseGovernment users
Users of online timetablesE-health users
Have had computer trainingComputer skills Index
E-learning for workLifelong learning for workhome-based teleworkersmulti-locational workers
Peope tele-cooperating at the workplaceInternet chatters
E-commerceMobile phone users
Internetwant-notsCosts as barrier for Internet take-up
Average share of intra- regional e-mailsE-mail users
Internet user base: expected growthAverage weekly Internet use
Internet usersInternet access
Computer users
E-banking
© BISER 2003
Example: RB Darmstadt
9
An example
Indicator: Internet users -- last four weeks (2003)
© SIBIS 2003
10-30%
30-40%
40-50%
50-60%
>60%
USA
10
An example
Internet access and income (GDP/head)
0
10
20
30
40
50
60
70
80
0 20 40 60 80 100 120 140
GDP/head in PPP 2002 (EU15 = 100)
Inte
rne
t a
cc
es
s a
t h
om
e i
n %
of
po
pu
lati
on
1
5+
(2
00
2/2
00
3)
r= .891*
Lux excluded
EE
LT
SI
PLBG
RO LV SK HU
CZ EL
PT
ES FR
IE
IT BE
AT
NL
DK
FI
SE
UK
DE
11
12
Beyond “hard” indicators
• Differences in R&D and infrastructure investments alone cannot explain the persistence of the territorial digital divide
• Rather than levelling regional disparities, ICTs seem to have exacerbated existing inequalities
• Disparities seem to be related to the effectiveness with which ICTs are used to transform traditional ways of doing things
• The ability to use ICTs in a transformative way appears to be influenced by cultural factors
• Need for more insight into Regional Innovation Cultures
13
Ongoing work
• TRANSFORM (2006-2008)– Focus on indicatores on “soft” issues which underpin
regions’ ability for transformative use of ICTs
– Key issues: Regional innovation cultures, social capital (bonding / bridging / linking), networking capital, impact of ICT usage, empowerment, participation
– Revised top down approach: Indicators are developed based on conceptual framework, then tested during case study fieldwork in 16 regions across Europe
– Specific Support Action (“Scientific Support for Policy”)in FP6
– Consortium: empirica, CURDS, eris@, IRISI, CARPAT
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More information at: www.biser-eu.com
www.transform-eu.org (soon)
E-mail contact:
[email protected] empirica Gesellschaft für Kommunikations- und Technologieforschung mbHOxfordstr. 2D-53111 BonnTel.: (+49) 2 28 - 9 85 30-0Fax: (+49) 2 28 - 9 85 30 -12
or contact:
Thank you!