ke finland wb workshop helsinki, finland, 30-31 august 2004 research and innovation in finland –...
TRANSCRIPT
KE FINLAND WB WORKSHOP
Helsinki, Finland, 30-31 August 2004
RESEARCH AND INNOVATION IN FINLAND –TRANSFORMATION INTO A KNOWLEDGE-BASED ECONOMY
Professor Jorma Routti
Helsinki University of Technology &
CIM Creative Industries Management
Helsinki, Finland
www.cimfunds.com [email protected]
CURRENT STATE
V I S I O N
S W
O T
ECONOMY
SAFETY
SUSTAINABILITY
SOLIDARITY
SKENARIOS FOR
OPERATING ENVIRONMENT
Fundamental changes taking place
GlobalizationKnowledge-based
economiesDigital revolution
R&D input in some OECD countries
Sources: OECD, Main Science and Technology Indicators database, Statistics Finland (Finland 2002) and Statistiska centralbyrån (Sweden 2001, estimate). Docs 36109
02-2003
USA
Japan
Germany
Sweden
Great Britain
France
Austria
FINLAND
Denmark
85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 00 01 02
OECD total
3.5
3.0
2.5
2.0
1.5
1.0
4.0
Percentage of GDP
est.
Canada
Israel4.5
0.5
Iceland
South Korea
Singapore
China
Norway
Exports of Finnish high tech products totalled9.9 billion euros in 2001, i.e. 21 % of total exports of goods.
Exports of Finnish high tech products totalled9.9 billion euros in 2001, i.e. 21 % of total exports of goods.
Source: Statistics Finland, according to the OECD product catalogue defined in 1995
The share of high tech exportsin some OECD countries 1988-2001
Norway
USAJapanUnitedKingdomNetherlandsFINLANDSwitzerlandFranceSwedenGermanyDenmark
Docs 32187B 03 /02-03
0
5
10
15
20
25
30
1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001
% of total exports of goods
EU
Competitiveness scoreboard
* Based on earlier competitiveness index of micro economy
Total rankingTotal ranking
WEFTotal growth
competitiveness
IMDTotal competitiveness
20002001
WEFCurrent
competitiveness1999*20002001 199920002002 2001 1999
USAFINLANDLuxembourgNetherlandsSingaporeDenmarkSwitzerlandCanadaHong KongIrelandSwedenIcelandGermanyFranceJapan
21..4965
111622
717
31514
21..3
1085
111822
616
41215
12..3
12758
2117
422
69
14
16342
1410
785
1324152221
21..84
1415
31311
916172021
211
791
17653
101918252314
14632
1378
125
149
112224
123456789
101112152230
13452
1510
9678
13122526
1534297
1068
1413122324
Sources: The World Competitiveness Yearbook (IMD) and The Global Competitiveness Report (WEF)Docs 36107
04-2002
JapanKorea
IrelandSweden
SwitzerlandUnited States
BelgiumFINLAND
OECDGermany
Czech Rep.EU
DenmarkUK
NorwayAustriaCanada
NetherlandsFrance
AustraliaSpain
ItalyIcelandTurkey
HungaryPoland
N. ZealandPortugal
GreeceMexico
R&D financing
R&D expenditures by source of funds
Source: OECD, MSTI database, April 1999
0 20 40 60 80 100 %
J07/ 00-06
Business enterprisesPublic sectorOther nationalresourcesAbroadNo breakdown
MARKETS quality
competitiveness price
competitiveness environmental
expertise
F O R E S T I N D U S T R Y
Pulp and paper technology
Wood products industry
Machines, machinery and processes
A11/ 99-08
Securing competitiveness inthe Forest Industry
FORESTRY
CONSTRUCTION AND WOOD TECHNOLOGY modification of wood construction
technology andarchitecture
logistics, assembly
MANUFACTURING TECHNOLOGY forestry machines process and production machinery material technology
BIOTECHNOLOGY enzymes rot prevention gene technology
ENERGY AND ENVIRON-MENTAL TECHNOLOGY biofuels, combustion technology ecobalances closed cycles energy-saving and
emissions
CHEMICAL TECHNOLOGY paper and bleaching chemicals surface treatment
substances pigments, adhesives
INFORMATIONTECHNOLOGY sensors, measuring
and control computational
intelligence,simulation andmachine vision
multimedia and telecommunication tomography
Co-operation between companies and universities and research institutes
Norway
UK
Sweden
FINLAND
Portugal
Austria
Netherlands
Ireland
Italy
France
Denmark
Germany
Belgium
EU
Norway
UK
Sweden
FINLAND
Portugal
Austria
Netherlands
Ireland
Italy
France
Denmark
Germany
Belgium
EU
0 20 40 60 %
Share of innovative companieshaving co-operation agreements
with universities (1994-1996)
Share of innovative companies havingco-operation agreements with public
research institutes (1994-1996)
Source: Eurostat, Enterprise DG, 2nd Community Innovation Survey
J05/ 00-06
0 20 40 60 %
Nokia's Change
1988 1998
Mobile Phones 60% Infrastructure 33% Other 7%
Floorings 1%
Chemicals 2%
Machinery 4%
Electrical Wholesale 4%
Rubber 6%
Information Systems 23%
Cables 9%
Paper 10%
Consumer Electronics 31%
Mobile Telephones 5%Telecommunications 5%
Mobile Telephones 5%Telecommunications 5%
2000
Net sales USD 5.2 billion 1988 Market capitalization USD 1.4 billion at year end 1988
Net sales USD 19.9 billion 1999Market capitalization USD 236.5 billion, as of February 28th 2000
Services in the Mobile Information Society
Information
Entertainment
e-shoppingand banking
Voice
Corporate access and e-mail
e-education
Video
FOCUS IN THE VALUE CHAIN
CONSUMERCONTENTCREATORS
CONTENTPRODUCERS
CONTENTDISTRIBUTORS
CREATES IDEA
HOLDS IPRs
TECHNOLOGY DRIVEN IDEAS
DEVELOPSCOPYRIGHTS
PACKAGES IPRs
PROGRAMMINGCONTENT
DISTRIBUTESCOPYRIGHTS
MARKETS / BRANDS IPRs
DISTRIBUTIONPLATFORMS
TICKETSMAGAZINESBOOKS, CD,VIDEO, DVD,RADIO, TV
NET, WAP/3G
s
SOCIAL & HUMAN CAPITAL
TECHNOLOGY & INNOVATION
RE
SE
AR
CH
CA
PA
CI
TY A
BS
OR
TIO
N C
AP
AC
ITY
SUPPLY USERS
CREATORS DEMAND
SOCIAL & HUMAN CAPITAL
TECHNOLOGY & INNOVATION
RE
SE
AR
CH
CA
PA
CI
TY
AB
SO
RT
ION
CA
PA
CIT
Y
IRELAND
USERS
SOCIAL & HUMAN CAPITAL
TECHNOLOGY & INNOVATION
RE
SE
AR
CH
CA
PA
CI
TY
AB
SO
RT
ION
CA
PA
CIT
Y
FINLAND
SUPPLY
s
SOCIAL & HUMAN CAPITAL
TECHNOLOGY & INNOVATION
RE
SE
AR
CH
CA
PA
CI
TY
AB
SO
RT
ION
CA
PA
CIT
Y
SUPPLY USERS
CREATORS DEMAND
JAPAN
USA
IRL
ITA
SWE
DE
FR
UK
FIN
Composition of Regional Economies United States, 2001
Traded ClustersTraded ClustersTraded ClustersTraded Clusters Local ClustersLocal ClustersLocal ClustersLocal Clusters Natural Resource-Natural Resource-Driven IndustriesDriven Industries
Natural Resource-Natural Resource-Driven IndustriesDriven Industries
31.6%31.6%
1.7%1.7%
$44,956$44,956
133.8133.8
4.5%4.5%
144.1144.1
21.721.7
590590
31.6%31.6%
1.7%1.7%
$44,956$44,956
133.8133.8
4.5%4.5%
144.1144.1
21.721.7
590590
67.6%67.6%
2.8%2.8%
$28,288$28,288
84.284.2
3.7%3.7%
79.379.3
1.31.3
241241
67.6%67.6%
2.8%2.8%
$28,288$28,288
84.284.2
3.7%3.7%
79.379.3
1.31.3
241241
0.8%0.8%
-1.0%-1.0%
$33,245$33,245
99.099.0
2.0%2.0%
140.1140.1
7.27.2
4848
0.8%0.8%
-1.0%-1.0%
$33,245$33,245
99.099.0
2.0%2.0%
140.1140.1
7.27.2
4848
Share of Employment
Employment Growth, 1990 to 2001
Average Wage
Relative Wage
Wage Growth
Relative Productivity
Patents per 10,000 Employees
Number of SIC Industries
Note: 2001 data, except relative productivity which is 1997 data.Source: Cluster Mapping Project, Institute for Strategy and Competitiveness, Harvard Business School
$15,000
$25,000
$35,000
$45,000
$55,000
50 100 150 200 250 300
Average Regional Wage, 2001
Share of Traded Employment in Strong Clusters (LQ > .8), 2001
y = 96.736x + 16218R2 = 0.377
New York, NYBay Area, CA
Boston, MA
Determinants of Regional Prosperity Cluster Strength and Wage Levels
Source: County Business Patterns; Michael E. Porter, The Economic Performance of Regions”, Regional Studies, Vol. 37, 2003
