Transcript Class 2

Innovation Economics
Class 2
Shifting Heuristics in the Economics
of Innovation
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Area of specialization in microeconomic theory
Industrial organization, regional economics,
theory of the firm, microeconomics of growth
Birth of this area of specialization is with the
discovery of the residual
Progressive reduction in the power of the
technological change as an exogenous process:
Metaphor of manna.
Notion of technological opportunity
Origins of the Economics of
Innovation
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The concept of residual
Economics of innovation concentrates on the
problem of explaining at the firm level the
process of growth of output whch cannot be
explained by increases in production factors.
Solow (1957) showed that more than 40% of
growth in the US economy over 1900-1949 is
due to factors other than the traditional
categories of standart economics.
Manna Metaphor
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Manna tradition of analysis introduces a linear sequence between
scientific discoveries and technology innovations.
Scientist .. İnvention … scientific knowledge … technological
knowledge
Kenneth Arrow (1962) showed that technical knowledge has
public good characteristics: invisibility, non-excludability, nontradeability.
Market provision of efficient level of public good??
Role of the government??
Analysis of technological change as an exogenous process
Biological Grafts: Epidemics and
Life Cycles
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Analysis of the delays in the adoption of given technology
innovations
Diffusion
Time distribution of adoption
Life cycle metaphor
Major innovations and minor innovations
Role of small firms
Hypothesis: Large firms are necessary for high rates of
technological advance to take place (size shapes innovativeness)
Hypothesis: New firms are necessary for high rates of
innovation (age shapes innovativeness)
Trajectories and Tecnological Paths
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Three contributions from the philosophy of
science:
Tacit vs. codified knowledge
 Limits to rationality
 Entry of the notion of learning
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Learning, cumulative features of learning,
individual learning, organizational learning
Manna metaphor --- trajectories (Kuhn;
scientific evolution)
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Endogenous innovations
Localized knowledge
Technologcal path dependence
Local externalities
Collective Learning and Networks
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Marshallian analysis
Externalities
Spillovers
Knowedge interactions
New Growth Theory
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Based on:
Distinction between tacit and codified knowledge
 Understanding of technological externalities
 Notion of monopolistic competition as a result of
introduction of new products
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Summary
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Manna --- Product life cycle and trajectories --network approach
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Key features of a national
innovation system
Education and training
Industrial structure
Scientific and technological capabilities
S&T strengths and weaknesses
Interactions among the various components of
the innovation system
Absorption from abroad
All of which can be quantified
Population
in the USA, EU 25 and Japan
Milions
500
400
300
200
100
0
USA
EU
Japan
GDP in the USA, EU 25 and Japan
12000000
10000000
8000000
6000000
4000000
2000000
0
USA
EU
Japan
R&D in the USA, EU 25 and Japan
Milyonlar
0,3
0,25
0,2
0,15
0,1
0,05
0
USA
EU
Japan
Scientific Papers in
the USA, EU 25 and Japan
300000
200000
100000
0
USA
EU
Japan
Internet Users in
the USA, EU 25 and Japan
200000000
150000000
100000000
50000000
0
USA
EU
Japan
R&D Intensity - 2001
From Lisbon to Barcelona
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Make of Europe the largest knowledge economy of
the world
Reach 3 per cent in the ration R&D/GDP
Who has to pay for it? The business sector… which
should contribute about 2/3 of the total
expenditure
Jan Tinbergen’s lesson: economic policy is about
targets and instruments
Where are the instruments?
A pragmatic approach: the Kok Report
How has Europe done in the last
years? Patent data
Mean annual Mean annual
granted
granted
Mean annual Mean annual Mean annual Mean annual
patents at
patents at
rate of
applied patents applied patents
rate of
USPTO per
USPTO per growth from
at EPO per
at EPO per growth from
million people million people 1996-97 to million people million people 1996-97 to
2002-03
1997-1998
2000-01
2002-03
1997-1998
2000-01
USA
Japan
EU-15
EU-25
301
277
71
59
260
214
54
45
3,0%
5,3%
5,6%
5,7%
107
135
136
114
80
106
96
80
5,9%
5,1%
7,3%
7,4%
How has Europe done in the last
years? Bibliometric data
Number of scientific
publication in 2000-01
per million people
USA
Japan
EU-15
EU-25
700
444
556
493
Number of scientific
Mean annual rate of
publication in 1995-96 growth from 1995-96 to
per million people
2000-01
759
390
510
448
-1,6%
2,6%
1,7%
1,9%
How has Europe done in the last
years? ICT expenditure
ICT
ICT
Mean annual
expenditure expenditure rate of growth
(% of GDP) (% of GDP) from 1996-97
2001-02
1996-97
to 2001-02
USA
Japan
EU-15
EU-25
7,2
7,5
6,5
6,5
7,7
6,9
5,7
5,6
-1,7%
2,2%
3,4%
4,1%
Which S&T Policy for the EU?
Typical problem of deepening and widening
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Widening: to privilege the diffusion of
knowledge in the newcomers
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Deepening: develop areas of excellence