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Day3 ND Innovation Policy

Apr 04, 2018

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    Drs. Norman DytianquinTeaching Fellow

    University of Maastricht

    Innovation Policy

    This project is funded by the European Union 1N. Dytianquin

    UPM EU ACTIVE WEEK 21-25 Nov 2011Business

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    AGENDA

    ECONOMICS OF INNOVATION POLICY

    Solow growth model

    Endogenous or New growth theory

    Schumpeterian Growth theory

    Evolutionary Growth theory

    EU INNOVATION POLICY

    Goals

    Evolution

    EU Innovation Scoreboard

    Community Innovation Survey National systems of innovation

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    ECONOMICS OF INNOVATION POLICY

    Three strands in the theory ofinnovation

    Solow or neoclassical growth theory Endogenous or New growth theory Schumpeterian

    Evolutionary theory

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    ECONOMICS OF INNOVATION POLICY-2

    Solow growth model: Y = AK L

    where Y is output, K and L are capital and labor inputs,respectively, A is a parameter representing technology, and and are the respective output elasticities of K and L

    In the model, constant returns to scale is assumed, hence+ =1, so to prevent diminishing returns from occurring the A

    parameter shifts the production function outward.

    However, Solow assumed this technology as manna from

    heaven or available for all countries to exploit.

    Given access to this free technology, then there is aconvergence phenomenon where countries starting at lowinitial per capita GDPs will grow faster and catch-up withindustrial countries.

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    Solow-Swan Growth Model

    Developed independently by Robert Solow (1924- ) and Trevor Swan(1918-1989) although model is more popularly known as Solow modelor neoclassical growth model.

    Designed to show how growth in capital stock, growth in labor force,and advances in technology interact and affect a nations total output

    Shown in the production function of Cobb-Douglas formY = (AL) K1-

    Where A represents technological progress, K is capital stock and L is labor,and the superscripts and 1- indicate the output elasticities of capitaland labor respectively.

    If we solve for growth rates:

    g(Y) = g(A) + *g(L) + (1-)*g(K)

    This is known as growth accounting. Growth can come from either growth ofinputs of K and L (accumulation) or technological progress (assimilation)

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    Model basically shows:

    Model is expressed in per capita terms, thus:Y/L = A f (K/L) or per capita output is

    determined by capital per worker. Y/L isdenoted as y and K/L as k.

    Model assumes diminishing returns to capitalas denoted by slope of production functiony=f(k)

    Capital per worker is determined by 3 variables

    Investment (savings) per worker

    Population growth (denoted by n),increasing population decreases the levelof capital per worker, k.

    Depreciation (denoted by d). Capital stockdeclines as it depreciates

    Solow-Swan Growth Model

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    Solow-Swan Growth Model

    If all parameters (savings rate (s),population growth (n), depreciation rate(d), output per worker (y) and capital perworker are all growing at same constantrate, how then can growth be sustainedin the long run?

    Only through upward shift of theproduction function y=f(k) curve madepossible through technological progress.

    Technological progress shifts productionfunction upward so output per worker

    increases.

    But where does this technology comefrom? To Solow, technology is mannafrom heaven or exogenous

    y0

    k0 k

    A

    0

    Y* = Af(k)y*

    y = Af(k)

    k*

    B

    (n+d+ )ks

    y0

    k0 k

    A

    0

    Y* = Af(k)y*

    y = Af(k)

    k*

    B

    (n+d+ )ks

    y0

    k0 k

    A

    0

    Y* = Af(k)y*

    y = Af(k)

    k*

    B

    (n+d+ )ks

    y0

    k0 k

    A

    0

    Y* = Af(k)y*

    y = Af(k)

    k*

    B

    (n+d+ )ks(n+d+ )ksWITH EXOGENOUS TECHNOLOGICAL CHANGE

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    Solow-Swan Growth Model

    Thus in the steady state output per worker grows at the rate of thetechnological progress.

    Thus with the introduction of technological progress, it is possible for aneconomy to experience sustained growth in per capita income (output) atrate of the technological progress. Thus, the farther an economy is from its

    steady state value, the faster it grows given access to same technology.

    The model predicts that given access to this free technology, poorcountries will catch up to the richer countries (absolute convergence) withend result of having same per capita GDPs

    However growth rates have not been faster in developing countries than

    in developed countries. Empirical evidence show tendency for countries having similar

    characteristics to have convergence of their average incomes (conditionalconvergence).

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    Based on unrealistic assumptions

    Full employment

    Substitutability of capital and labor (not complementarity)

    Diminishing returns to capital Homogeneity of capital (as opposed to embodied in assets

    and hence lumpy) and labor

    Exogenous technological progress

    Solow-Swan Growth Model

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    NEW GROWTH THEORIES

    Endogenous or New Growth Theory

    Neoclassical growth model is not clear as to who produces andshoulders the cost of technology. If technology were mannafrom heaven, it assumes a public good character. Which means

    it is obtainable at zero costs.

    Endogenous or new growth theory introduces monopoly powerand spillover effects (positive externalities) as means ofappropriating technology.

    We have Romer and Lucas models which show how technology

    creates positive spillovers. Romer introduced R&D thatproduces innovation while Lucas introduced human capital(education, skills) that produces knowledge.

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    NEW GROWTH THEORY

    Thus the new models emphasize the importance of

    1Y A K x

    a b a+ -=

    investments in human capital (Lucas model) and

    1Y A K H h

    a a b-=

    investments in R&D or knowledge (Romer model)

    H is investments in human capital (education and training) which increases the

    average human capital (h) and this creates a positive spillover in the workforce.

    Represents knowledge (experience, learning by doing) which generates positive

    externalities. In a later model he develops, represents intermediate goods which

    embody blueprints or investments in R&D by the research sector,

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    Cricticisms of new growth theory are:

    The new growth theory remains dependent on some of the

    traditional neoclassical assumptions that are inappropriate for

    developing countries

    The empirical studies of the predictive value of endogenous

    growth theories show limited results. Most empirical results

    are used to test the neoclassical growth theory rather than

    endogenous growth theory itself.

    NEW GROWTH THEORY

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    SCHUMPETERIAN GROWTH

    Joseph Schumpeter (1883-1950) saw

    innovative entry by entrepreneurs as

    the force that sustained long-term

    economic growth

    Introduced the concept ofcreative

    destruction where competition for

    monopoly profits leads to technological

    progress old technologies are

    replaced by new ones

    http://en.wikipedia.org/wiki/Image:1schumpeter.jpg
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    Types of innovation creating creative destruction

    New markets or products

    New equipment

    New sources of labor and raw materials

    New methods of organization and management

    New methods of transportation and communication

    New methods of marketing and advertising

    New methods of inventory management

    New financial instruments

    SCHUMPETERIAN GROWTH

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    Schumpeter linked growth theory with theory of business

    cycles.

    When economy reaches a stationary state, the

    entrepreneur disturbs this equilibrium by creating a newinnovation which is the cause of economic development.

    Tying this up with Kondratieff cycles (50 years) or long

    waves, a whole new invention or innovation changes

    entire economic and productive structure.

    SCHUMPETERIAN GROWTH

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    Like Marx, Schumpeter believed in the demise ofcapitalism. But unlike Marx who believes socialism willreplace capitalism, Schumpeter thought that capitalismwould crumble because of

    Obsolescence of the entrepreneurial function:

    innovation becomes routinized so entrepreneurs lose their function inthe economy

    Destruction of political strata:

    Big business will destroys small and medium sized firms and weakenposition of the industrial bourgeosie

    Destruction of institutional frameworkGovernments play larger role in the economy so that institutions thatmake markets work will be replaced by state planning, governmentcontrol, nationalization of industries, welfare state, etc.

    SCHUMPETER AND DEMISE OF CAPITALISM

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    1910The age of oil, automobile, air travel, petrochemicals and mass production

    1971The age of information technology, knowledge and global telecommunications

    Carlota Perez: A GREAT SURGE OF TECHNOLOGY EVERY HALF CENTURY

    1771The Industrial Revolution in England

    1830The age of railways, coal and the steam engine

    1875The age of steel, electricity and transcontinental communications

    20??The Age of biotechnology, nanotechnology and bioelectronics?

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    NETWORK OF TECHNOLOGY SYSTEMS

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    EVOLUTIONARY THEORY

    Starts from Schumpeters ideas that growth emanatesfrom innovation or technological change

    But adds on Darwinian theory of evolution where we findprinciple of natural selection (survival of the fittest)

    Describes firms as displaying three principles

    Search and selection (of routines and decision rules by the firm) Hereditary mechanism (organizational competence, knowhow,

    skills are passed on to next generations through codification,imitation, take-overs, labor mobility or piracy)

    Generation of variety or novelty (firms differentiate themselvesfrom competitors through product and process innovations)

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    Evolutionary theory differs from other theories in following respects:

    Multiplicity and uncertainty of outcomes could lead to disequilibrium

    and/or multiple equilibria. In mainstream theory, the growth path was

    linear.

    Likelihood of inefficiency Path dependency (differences in initial conditions determine long-run

    outcomes)

    Possibility of lock-in solutions (inferior technology can be dominant:

    economy can be locked into using an inferior technology, e.g.,

    QWERTY keyboard) Evolutionary models were introduced by Nelson and Winter, Dosi et al.,

    Silverberg-Verspagen, etc.

    EVOLUTIONARY THEORY

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    EVOLUTIONARY THEORY

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    EVOLUTIONARY THEORY

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    Growth path is characterized by instability or chaos as shown in thefollowing possibilities.

    EVOLUTIONARY THEORY

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    Nelson and Winter model

    EVOLUTIONARY THEORY

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    Economics of Positive Externalities

    Innovation creates positive externalities such that social marginal benefitsexceed private marginal benefits. With externality, Q1 is produced where

    PMC=PMB. Q2 would have been produced (PMC=SMB) if externality is paid

    for.To internalize the positive externality, there is a need to SUBSIDIZE the

    activity producing the positive externality according to Pigou.

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    EU Innovation Policy

    Economics of innovation policy

    Goals of innovation policy

    Evolution of EU innovation policy

    EU Innovation Scoreboard and major findings

    Community Innovation Survey

    National systems of innovation

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    GOALS OF EU INNOVATION POLICY

    To strengthen innovation capacity ofEuropean firms

    To enhance effectiveness and coherence ofexisting innovation and technology transferinstruments

    To promote rapid diffusion of new technologies

    To disseminate knowledge concerninginnovation processes

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    EVOLUTION OF EU INNOVATION POLICY

    EU innovation policy combines overall analysisprovided by a Communication entitled Innovation in a

    Knowledge-Driven Economy in 2000 and the annuallypublished European Innovation Scoreboard which is

    based on results of the Community Innovation Surveys

    Earlier in 1995, Green Paper identified Europeanparadox of strong research performance but weakinnovation. This called for:

    Large scale production for successful exploitation of innovation

    Large-scale consumption to build scale economies

    Clusters and industrial districts to generate high innovation rates

    Tolerance of high degree of social and economic upheaval

    Individualism as motivator of innovation

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    Includes innovation performance of EU-27 + Croatia, Turkey, Iceland,Norway, Switzerland, USA, Japan, Australia, Canada and israel

    Innovation indicators expanded into 25 and arranged into 5 dimensions:

    Innovation drivers

    Knowledge creation

    Innovation & entrepreneurship

    Applications

    Intellectual property

    EU Innovation Scoreboard

    EU innovation scoreboard provides overview of relative national

    innovation performances

    In 2005, EIS is based on 20 indicators which are then combined into a

    Summary Innovation Index. This was expanded to 25 indicators in 2006.

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    EU Innovation Scoreboard 2009 (2)

    Innovation Leaders

    Denmark, Finland, Germany, Sweden, Switzerland, UK

    Innovation Followers Austria, Belgium, Cyprus, Estonia, France, Iceland, Ireland, Luxembourg,

    Netherlands, Slovenia

    Moderate Innovators

    Czech Republic, Greece, Hungary, Italy, Lithuania, Malta, Norway, Poland,Portugal, Slovakia, Spain

    Catching-up

    Bulgaria, Croatia, Latvia, Romania, Serbia, Turkey

    Note: In 2009, non-EU countries included in 2007 and 2008 EIS were excluded .These are Australia, Israel, USA, Canada, Japan.

    Candidate countries were also included aside from EU-27.

    Major Findings of EIS 20091. Country clusters according to innovation performance

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    EU Innovation Scoreboard 2009 (3)

    Colour coding matches the

    groups of countries

    identified in Section 3.1:

    green are the Innovation

    leaders, yellow are theInnovation followers,

    orange are the Moderate

    innovators, blue are the

    Catching-up countries.

    Average annual growth

    rates as calculated over a

    five-year period. The

    dotted lines show EU27performance and growth.

    Figure 3: Convergence in innovation performance

    http://www.proinno-europe.eu/page/31-innovation-performancehttp://www.proinno-europe.eu/page/31-innovation-performance
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    EU Innovation Scoreboard 2009 (4)

    2. EU innovation gap with USA and Japan

    Figure 10 shows that the innovation performance of the US and Japan is well

    above that of the EU27. The EU27-US gap has dropped significantlyup until

    2007, but in the last 3 years the relative progress of the EU27 has slowed down.

    The EU27-Japan gap has remained stable between 2005 and 2009 although

    the gap has decreased up until 2008 but has increased again in 2009.

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    EU Innovation Scoreboard 2009 (5)

    2. EU innovation gapwith USA and Japan

    USA ahead in 11 out of 15

    indicators

    EU ahead in

    S&E graduates employment in medium &

    high-tech manufacturing

    Community trademarks

    knowledge-intensive services

    Narrowing gap in

    tertiary education public R&D expenditures

    broadband subscriber

    business R&D expenditures

    Venture capital

    Widening gap in

    patents

    Figure 11: EU27-US Comparison

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    EU Innovation Scoreboard 2009 (6)

    Japan ahead in 12 out of 14

    indicators

    enablers

    firm activities

    outputs

    EU ahead only in

    Community trademarks

    KIS employment

    KIS exports

    Narrowing gap in

    S&E graduates

    tertiary education broadband penetration

    Public R&D expenditures

    Widening gap in

    Business R&D spending

    PCT patents

    Figure 12: EU27-Japan Comparison

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    EU Innovation Scoreboard 2009 (7)

    Strong and stable lead to Brazil Declining lead to China

    Strong but slowly declining lead to India Stable lead to Russia

    Innovation comparison with the BRIC

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    3. Growth performance

    The analysis of the EU27 growth rate in

    innovation performance shows an averageannual growth rate of 1.8% over a five

    year period. This improvement is

    particularly due to Human resources

    (2.3%), Finance and support (6.5%) and

    Throughputs (3.8%) where the EU27 has

    progressed most compared to 2005

    (Figure 8). In Economic effects (0.9%)improvement has been small and in Firm

    investments (-0.4%), Linkages &

    entrepreneurship (-0.6%) and Innovators

    (-1.3%) improvement has worsened.

    EU Innovation Scoreboard 2009 (8)

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    EU Innovation Scoreboard 2007 (9)

    The growth in innovation performance hasbeen calculated for each country and for

    the EU27 as a block using data over a five-

    year period

    The average growth rates for the 4

    country groups show that there is

    between group convergence with theInnovation followers growing at a faster

    rate than the Innovation leaders, the

    Moderate innovators growing faster than

    the Innovation followers and the

    Catching-up countries growing at a faster

    rate than the Moderate innovators. The

    overall process of catching up, where

    countries with below average

    performance have faster growth rates

    than those with above average

    performance, can also be observed at the

    level of most individual countries.

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    EU Innovation Scoreboard 2007 (10)

    Within the individual indicators, the EU27 is

    showing relative strengths n Youth

    education, Public R&D expenditures,

    Broadband access, IT expenditures,

    Knowledge-intensive services employment,Medium-high and high-tech manufacturing

    exports, Knowledge-intensive services

    exports and Sales of new-to-market

    products .

    The EU27 is showing relative weaknessesin S&E and SSH doctorate degrees, Life-

    long learning, Innovative SMEs

    collaborating with others, Technology

    Balance of Payments flows and Resource

    efficiency innovators.

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    In 1960s-1980s, individual member states mostly Scandinaviancountries, France, Germany, Netherlands undertook separateinnovation surveys

    In 1992, Oslo Manual harmonized national methodologies andstandardized data collection on innovation activities of EU firms.

    Eurostat developed a standard questionnaire that allows forinternational comparability. Questionnaire came to be known as CIS and contains inquiries about

    types of innovation done by firms reasons for innovating sources of information for innovation

    impact of innovation on firm performance obstacles to innovation expenditures on innovation government incentives and effectiveness in affecting innovation

    Community Innovation Survey

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    Community Innovation Survey (2)

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    Community Innovation Survey (3)

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    Community Innovation Survey (4)

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    Community Innovation Survey (5)

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    Community Innovation Survey (6)

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    Community Innovation Survey (7)

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    Community Innovation Survey (8)

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    Community Innovation Survey (9)

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    Community Innovation Survey (10)

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    Community Innovation Survey (11)

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    Community Innovation Survey (12)

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    Community Innovation Survey (13)

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    Community Innovation Survey (14)

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    Community Innovation Survey (15)

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    Community Innovation Survey (16)

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    Community Innovation Survey (17)

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    Community Innovation Survey (18)

    C S

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    Community Innovation Survey (19)

    C i I i S (20)

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    Community Innovation Survey (20)

    C i I i S (21)

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    Community Innovation Survey (21)

    Community Innovation Survey (22)

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    Community Innovation Survey (22)

    C it I ti S (23)

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    Community Innovation Survey (23)

    C it I ti S (24)

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    Community Innovation Survey (24)

    N ti l S t f I ti

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    National Systems of Innovation

    What is the national systems of innovation?Network of institutions in the public and private sectors whose activitiesand interactions initiate, import, modify and diffuse new technologies(Freeman, 1987)

    Elements and relationships which interact in the production, diffusionand use of new and economically useful knowledge (Lundvall, 1992)

    Set of institutions whose interactions determine the innovativeperformance of national firms (Nelson & Rosenberg, 1993)

    Constituted by the institutions and economic structures affecting therate and direction of technological change in society (Edquist & Lundvall,1993)

    National institutions, their incentive structures and their competences

    that determine the rate and direction of technological learning (Patel &Pavitt, 1994)

    Set of distinct institutions which jointly and individually contribute to thedevelopment and diffusion of new technologies and provides theframework within which governments form and implement policies toinfluence the innovation process (Metcalfe, 1995)

    N ti l S t f I ti (2)

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    National Systems of Innovation (2)

    National S stems of Inno ation (3)

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    National Systems of Innovation (3)

    EU Institute of Innovation and Technology (EIT)

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    In 2008, the European Institute of Innovation and Technology (EIT) will be launched. It is the

    first European initiative to integrate fully the three sides of the "Knowledge Triangle" (Higher

    Education, Research, Business-Innovation) and will seek to stand out as a world-class

    innovation-orientated reference model

    Based on partnerships known as Knowledge and Innovation Communities (KICs) highly

    integrated public-private networks of universities, research organisations and businessesthe EIT's activities will be coordinated by a Governing Board (to be appointed end June 2008

    along with possible headquarters) ensuring its strategic management

    The mandate of the EIT are:

    Serving EUs strategic priorities (7-year Strategic Innovation Agendas: first Agenda to be

    submitted in 2011)

    Connecting EU business and research (commercialize research findings)

    Providing higher education (MAs and PhDs with EIT label and innovation partnerships)

    Setting up incremental development path (phased introduction of KICs: slection fo first

    KICs by end 2009)

    Leverage for business (integrated knowledge transfer and networking)

    EU Institute of Innovation and Technology (EIT)

    Sample Innovation Survey Questionnaire from Malaysia

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    Sample Innovation Survey Questionnaire from Malaysia

    Sample Innovation Survey Questionnaire from Malaysia

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    Sample Innovation Survey Questionnaire from Malaysia

    Sample Innovation Survey Questionnaire from Malaysia

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    Sample Innovation Survey Questionnaire from Malaysia

    Sample Innovation Survey Questionnaire from Malaysia

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    Sample Innovation Survey Questionnaire from Malaysia

    Sample Innovation Survey Questionnaire from Malaysia

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    p y Q y

    MYEULINK

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    MYEULINK

    Thank you.