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Mechanisms for knowledge transfer between national systems of innovation: public, private, and academic mechanisms (including science & technology cooperation) Bart Van Looy (KU Leuven) Beatrice Bertini (Univ. of Pisa) Elisa Grassi (Scuola Superiore Sant’Anna, Pisa) Francesca Mirizia (Univ. of Pisa, Univ. of Firenze) Contact: [email protected] KU Leuven INCENTIM - Center of Expertise for R&D Monitoring (ECOOM) KU Leuven
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Mechanisms for knowledge transfer

between national systems of

innovation: public, private, and

academic mechanisms (including

science & technology cooperation)

Bart Van Looy (KU Leuven)

Beatrice Bertini (Univ. of Pisa)

Elisa Grassi (Scuola Superiore Sant’Anna, Pisa)

Francesca Mirizia (Univ. of Pisa, Univ. of Firenze)

Contact: [email protected]

KU Leuven

INCENTIM - Center of Expertise for R&D Monitoring (ECOOM) –

KU Leuven

KU Leuven: INCENTIM (R&D Division) & ECOOM

• Science/Technology/Innovation studies for Flemish Government,

EC (DG Research, Enterprise, Regio), EUROSTAT…

• Focus on Science/Technology studies, with a specific emphasis on

Science-Technology interactions/flows.

• Considerable investments in the development (enhancement) of

underlying data infrastructure, including PATSTAT, WOS &

SCOPUS.

• Applied & basic research (see articles in Research Policy, Regional

Studies, Scientometrics,….)

3

Firms’ capabilities

and networks

Other research bodies

Science system

Supporting institutions

Global innovation networks

National innovation system

Knowledge generation, diffusion and use

Clu

ste

rs

of in

du

strie

s

Re

gio

na

l In

nova

tio

n

Syste

ms

National Innovation Capacity

COUNTRY PERFORMANCE

Growth, job creation, competitiveness

Education and training system

Product market conditions

Factor market conditions

Communication infrastructure

Macroeconomic and regulatory context

National Innovation System Framework, OECD, 1998

Green Technologies – P&L Indicators

• Patents & Licenses – DG Research

• Providing indicators per technology domain & industry,

but also classified by thematic priority.

• These thematic priorities include:

– Environmental technologies : energy conservation & efficiency,

cleaning of air/water.

– Green energy: biofuels, fuel cells, solar energy, hydro-energy,

waste energy, wind energy, geothermal energy.

• Asia: Japan, China, Korea and India

• North America: USA & Canada

Share of EU-27/NA/Asia

EU-27North

AmericaAsia Total

Environment – EP Applications 43.16% 29.60% 24.23% 96.99%

Environment – PCT Applications 33.89% 36.42% 27.17% 97.48%

Environment – EP Grants 53.33% 21.58% 21.39% 96.30%

Environment – USPTO Grants 14.57% 55.39% 28.91% 98.87%

Energy – EP Applications 45.51% 26.18% 25.21% 96.90%

Energy – PCT Applications 37.24% 32.42% 27.71% 97.37%

Energy – EP Grants 55.15% 18.57% 22.62% 96.34%

Energy – USPTO Grants 16.38% 50.94% 31.53% 98.85%

Green Energy – EP Applications 40.97% 31.37% 24.64% 96.98%

Green Energy – PCT Applications 32.47% 37.43% 27.59% 97.49%

Green Energy – EP Grants 51.01% 23.73% 21.22% 95.96%

Green Energy – USPTO Grants 14.30% 53.06% 31.49% 98.85%

Triadic Patents

EU-27 North America Asia Total

Petroleum, gas or coke industries; technical gases containing carbon monoxide;

fuels; lubricants; peat 5A 42.15% 38.78% 13.58% 94.51%

Nuclear energy 5B 46.55% 25.75% 23.28% 95.58%

Electrical machinery, apparatus, energy 5C 28.32% 18.14% 49.93% 96.39%

Engines, pumps, turbines; including thermal processes and apparatus 5D 38.13% 20.10% 38.64% 96.87%

Energy conservation and energy efficiency 5E 29.22% 22.03% 44.70% 95.95%

Biofuels 5F 34.62% 37.36% 21.05% 93.03%

Fuel cells and hydrogen technology 5G 21.21% 26.79% 49.86% 97.86%

Solar energy 5H 38.35% 20.92% 36.72% 95.99%

Hydro energy 5I 65.63% 12.50% 13.28% 91.41%

Waste energy, energy from waste heat, fuel from waste 5L 35.61% 28.79% 31.00% 95.40%

Wind energy 5M 63.27% 15.97% 16.27% 95.51%

Geothermal energy, energy from natural heat 5N 28.83% 31.60% 33.74% 94.17%

Green Energy 6z 32.94% 30.24% 31.47% 94.65%

Treatment, disposal, combustion and recycling of waste; cleaning of air and water

pollution 6A 36.13% 22.57% 37.25%

95.95%

Energy conservation and energy efficiency 6B 29.22% 22.03% 44.70% 95.95%

Green Science

Scopus: 1990 – 2010

• Energy efficiency (buildings/lighting) – 140.059

• Photovoltaic - Solar cell/power/energy – 109.197

• Air Pollution/Purification – 104.606

• Water Pollution/Purification – 194.194

• Fuel Cells – 59.497

Energy efficiency (buildings/lighting) – 140.059

Photovoltaic - Solar cell/power/energy – 109.197

Air Pollution/Purification – 104.606

Water Pollution/Purification – 194.194

Fuel Cells – 59.497

Green Science: Energy Efficiency

United States 36,484 H Advanced Economies 24.20

China 16,740 I I-China 11.10

Japan 10,074 H Advanced Economies 6.68

Germany 9,187 G Europe 6.09

United Kingdom 7,121 H Europe 4.72

France 5,393 G Europe 3.58

Italy 5,005 G Europe 3.32

Canada 4,797 H Advanced Economies 3.18

RUSSIA 4,521 I I - Russia 3.00

South Korea 4,218 H Advanced Economies 2.80

India 4,103 I I -India 2.72

Taiwan 2,889 H Advanced Economies 1.92

Spain 2,797 G Europe 1.86

Australia 2,572 H Advanced Economies 1.71

Netherlands 2,570 G Europe 1.70

Switzerland 2,349 H Europe 1.56

Sweden 1,937 H Europe 1.28

Brazil 1,671 I I-Brazil 1.11

Poland 1,618 C Europe 1.07

Turkey 1,418 C Emerging & Developing Economies Europe 0.94

Belgium 1,281 G Europe 0.85

Hong Kong 1,103 H Advanced Economies 0.73

Greece 1,088 G Europe 0.72

Finland 1,034 G Europe 0.69

Austria 1,031 G Europe 0.68

Israel 1,001 H Advanced Economies 0.66

Green Science: Energy Efficiency

Advanced Economies 64391 42.71

Commonwealth of Independent States 1308 0.87

Emerging & Developing Economies Asia 1401 0.93

Emerging & Developing Economies Europe 1433 0.95

Europe 48895 32.43

I-Russia 4521 3.00

I -India 4103 2.72

I-Brazil 1671 1.11

I-China 16740 11.10

Latin America & the Carribean 1793 1.19

Middle East - North Africa 3445 2.28

Sub-Saharan Africa 1070 0.71

Grand Total 150771 100

Green Science: Energy Efficiency

Tsinghua University 1076

IEEE 895

University of Tokyo 755

UC Berkeley 744

Osaka University 743

Massachusetts Institute of Technology 741

Lawrence Berkeley National Laboratory 710

Zhejiang University 659

Harbin Institute of Technology 607

Russian Academy of Sciences 605

Kyoto University 599

University Michigan Ann Arbor 598

Chinese Academy of Sciences 583

Eidgenossische Technische Hochschule Zurich 552

National Taiwan University 546

Pennsylvania State University 544

Tokyo Institute of Technology 528

Oak Ridge National Laboratory 526

Green Science: Solar Energy

Country Volume Region Region Share

United States 36,484 H Advanced Economies 24.20

China 16,740 I I-China 11.10

Japan 10,074 H Advanced Economies 6.68

Germany 9,187 G Europe 6.09

United Kingdom 7,121 H Europe 4.72

France 5,393 G Europe 3.58

Italy 5,005 G Europe 3.32

Canada 4,797 H Advanced Economies 3.18

RUSSIA 4,521 I I - Russia 3.00

South Korea 4,218 H Advanced Economies 2.80

India 4,103 I I -India 2.72

Taiwan 2,889 H Advanced Economies 1.92

Spain 2,797 G Europe 1.86

Australia 2,572 H Advanced Economies 1.71

Netherlands 2,570 G Europe 1.70

Switzerland 2,349 H Europe 1.56

Sweden 1,937 H Europe 1.28

Brazil 1,671 I I-Brazil 1.11

Poland 1,618 C Europe 1.07

Turkey 1,418 C Emerging & Developing Economies Europe 0.94

Belgium 1,281 G Europe 0.85

Hong Kong 1,103 H Advanced Economies 0.73

Greece 1,088 G Europe 0.72

Finland 1,034 G Europe 0.69

Austria 1,031 G Europe 0.68

Israel 1,001 H Advanced Economies 0.66

Green Science: Solar Energy

Advanced Economies 52383 41.81

Commonwealth of Independent States 1388 1.11

Emerging & Developing Economies Asia 1512 1.21

Emerging & Developing Economies Europe 2746 2.19

Europe 39782 31.75

I - China 9814 7.83

I -India 4083 3.26

I-Brazil 1235 0.99

I-Russia 3350 2.67

Latin America & the Carribean 2099 1.68

Middle East - North Africa 3345 2.67

Sub-Saharan Africa 3555 2.84

Grand Total 125292 100

Green Science: Solar Energy

National Renewable Energy Laboratory 1981

NASA Goddard Space Flight Center 1448

Fraunhofer-Institut fur Solare Energiesysteme 778

Jet Propulsion Laboratory California Institute of Technology 753

University of Colorado at Boulder 748

University of Tokyo 747

Helmholtz-Zentrum Berlin fÌ_r Materialien und Energie HZB 702

Imperial College London 702

University of New South Wales UNSW Australia 697

National Institute of Advanced Industrial Science and Technology 651

NASA Glenn Research Center 636

Naval Research Laboratory 634

University of Maryland 622

Osaka University 606

UC Berkeley 593

California Institute of Technology 575

Stanford University 563

Kyoto University 554

Massachusetts Institute of Technology 552

University of California Los Angeles 538

Tokyo Institute of Technology 528

Eidgenossische Technische Hochschule Zurich 515

Los Alamos National Laboratory 503

CNRS Centre National de la Recherche Scientifique 503

Do Science – Technology flows pay off?

• Yes (see also Porter, Fleming, Furman, Jaffe, Acs,…)

Key points/lessons learned:

• Importance of scientific eminence & education (skilled labour – absorptive capacity locally)

• International cooperation pays off (increasingly both ways, both ‘transfer’ and ‘reverse innovation’)

• The presence of IP rather enabling than constraining? In any case, IP seems a ‘minor’ issue compared to the (presence or lack of) human capital (higher education!) and institutional framework conditions (see J. Kay in this respect).

• The nature/effectiveness of concrete arrangements varies according to the life cycle stage of technology/knowledge (Emergence versus growth)

• (Mapping capabilities & flows is first and foremost instrumental for identifying relevant capabilities (sources) & absorptive capacity)

Back up/Illustrative Slides

• Texture of biotech regions (global): beyond

pharmaceutical firms (Lecocq & Van Looy)

• Impact of academia on corporate patenting – the case

of Italy (Leten, Landoni & Van Looy)

• Science unfolding in technology (Callaert,

Grouwels,Van Looy)

Does it pay off? • Van Looy, B., E. Zimmermann, R. Veugelers, J. Mello, A. Verbeek, and K. Debackere (2003), “Do science-

technology interactions pay off when developing technology? An exploratory investigation of 10 science-

intensive technology domains”, Scientometrics, 57, 355-367.

• Van Looy, B., Ranga M., Callaert, J. , Debackere K. & Zimmermann E. (2004): Combining Entrepreneurial and

Scientific Performance in Academia: Towards a compound Matthew Effect encompassing both activity realms?

Research Policy, 33, 425-441.

• Van Looy, B., Debackere K., Callaert J., Tijssen, R. & Van Leeuwen T. (2006). Scientific capabilities and

technological performance of National Innovation Systems: An exploration of emerging industrial relevant

research domains. Scientometrics, 66, 2, 295-310.

• Van Looy, B., Callaert J. & Debackere K. (2006) Publication and Patent Behaviour of academic researchers:

conflicting, reinforcing or merely co-existing. Research Policy. 35, 4, 596-608

• Van Looy B., Magerman T. & Debackere K. (2007) Developing technology in the vicinity of science: An

examination of the relationship between science intensity (of patents) and technological productivity within the

field of biotechnology. Scientometrics, 70, 2, 441-458

• Lecocq, C. & Van Looy, B. (2009), The impact of collaboration on the technological performance of regions: time

invariant or driven by life cycle dynamics? An explorative investigation of European regions in the field of

biotechnology. Scientometrics, 2009, 80, 3, 845-865..

• Van Looy, B., Landoni P., Callaert J., van Pottelsberghe B., Sapsalis E. & Debackere K. (2011) Entrepreneurial

effectiveness of European universities: An empirical assessment of antecedents and trade-offs. Research

Policy, 40(4), 553-564.

• Callaert J. , Grouwels J. & Van Looy B. (2012) Delineating the scientific footprint in technology: Identifying

scientific publications within non-patent references. Scientometrics. 91,2, 383-398.

• Leten B., Landoni P. & Van Looy B. (2014) Science or Graduates: How do Firms Benefit from the Proximity of

Universities? Research Policy.

• Lecocq C. & Van Looy B. (2013/2014) What Differentiates Top Regions in the Field of Biotechnology? An

empirical Study of the Texture Characteristics of 101 Biotech Regions in North-America, Europe and Asia-

Pacific. Industry and Corporate Change, second round.

19

Science unfolding in technology…

Row LabelsAT AU BE BG BR CA CH CN CY CZ DE DK ES FI FR GB GR HU IE IL IN IS IT JP KR LI NL NO NZ PL PT RU SE SI TW US ZA

AT 6,83 0,98 0,80 0,50 0,72 0,82 2,21 0,80 1,72 0,96 1,15 0,92 1,12 1,05 0,77 0,99 0,91 1,76 0,86 0,44 0,50 1,04 1,15 0,72 0,46 0,92 0,71 1,31 0,64 1,20 0,99 0,99 1,94 0,47 0,90 0,97

AU 1,18 5,07 0,74 1,40 1,51 0,89 0,93 0,97 1,08 0,82 0,91 1,04 0,85 1,06 0,90 1,03 0,70 0,97 1,11 0,80 0,86 0,97 0,88 0,79 0,54 0,97 1,15 2,08 1,02 0,75 0,92 1,07 0,27 0,50 0,89 1,09

BE 0,97 1,00 3,62 0,91 1,33 0,94 0,99 1,04 1,80 0,96 0,93 0,91 1,24 0,82 1,27 1,20 0,95 1,38 0,79 0,74 0,73 0,27 1,12 0,75 0,60 1,34 0,88 0,83 1,10 0,92 0,98 0,94 0,23 0,51 0,84 1,48

BG 0,84 0,77 3,28 0,78 0,81 1,41 3,24 1,10 2,00 1,42 1,48 1,11 5,02 1,09 1,74 0,82 0,41 2,19 2,91 1,59 1,01 0,59

BR 0,71 0,81 0,99 27,84 0,66 0,69 0,79 0,84 0,28 0,80 1,46 0,94 2,38 2,12 0,23 0,36 1,47 0,89 0,35 0,58 0,62 1,71 0,67 1,45 1,00 0,28 0,84 3,05

CA 0,97 1,12 1,07 0,89 1,15 2,57 0,90 0,95 0,41 0,62 0,89 1,05 1,15 0,85 0,98 1,01 0,71 0,68 0,65 0,91 0,84 0,37 0,95 0,76 0,77 1,01 1,10 0,91 0,69 0,59 1,43 0,95 0,77 0,88 0,90 1,87

CH 1,41 1,09 0,84 0,99 0,87 0,90 2,41 0,90 0,36 1,14 1,07 1,09 1,04 0,94 0,95 1,10 0,77 1,00 1,14 1,04 0,87 0,87 1,15 0,80 0,61 0,89 0,92 0,81 1,17 0,93 0,68 0,82 1,06 0,95 0,73 0,92 1,41

CN 0,99 0,85 1,07 0,91 0,93 0,81 0,58 4,24 1,29 0,77 0,76 0,61 0,61 0,86 1,06 1,02 0,37 0,79 0,76 1,21 1,90 1,02 0,96 1,01 0,51 1,23 1,20 0,39 0,17 0,54 0,52 0,79 1,41 1,13 1,07

CY 0,67 0,83 0,51 0,24 3,73 1,55 1,18 1,25 1,46 1,16 0,69 6,63 1,93 1,49 0,88 0,73 0,37 2,17 2,81 3,02 1,19 1,17 0,79

CZ 0,70 0,64 0,39 1,32 0,49 0,46 2,77 32,79 0,83 1,59 0,56 0,56 1,58 0,46 2,14 0,42 1,16 0,35 0,46 2,68 2,88 0,83 0,85 6,71 1,12 0,97 18,21

DE 1,35 0,91 0,94 1,09 0,66 0,81 0,93 1,02 1,01 1,25 1,89 0,94 1,00 0,79 1,00 1,01 0,72 1,06 0,89 0,62 0,98 0,91 0,92 0,86 0,71 1,14 1,02 0,66 0,83 1,01 1,06 1,06 0,87 0,87 0,66 0,94 0,94

DK 1,18 0,88 1,33 1,23 0,71 0,91 0,98 0,73 1,47 0,96 7,18 1,12 1,30 0,99 1,07 0,65 0,94 1,53 0,58 1,11 1,53 0,94 0,73 0,77 1,29 1,18 0,94 1,40 1,82 0,49 1,34 0,64 0,57 0,77 1,82

ES 0,95 0,84 0,78 0,57 1,26 0,64 0,81 1,20 0,90 0,72 0,70 6,73 1,02 1,18 1,08 0,99 0,85 0,61 0,86 2,32 1,19 1,54 0,72 0,83 1,22 0,63 1,25 1,33 1,16 0,52 0,77 0,49 0,72 0,75 1,56

FI 0,83 0,78 0,95 0,47 0,88 1,00 0,70 0,99 1,62 0,58 0,86 0,68 0,71 9,58 0,66 0,82 2,10 2,49 1,06 0,60 0,75 2,44 0,81 0,59 1,06 0,83 1,11 0,87 0,48 0,35 0,85 1,35 0,98 1,09 1,10

FR 0,71 0,92 1,10 1,33 0,90 0,84 0,79 1,16 0,63 0,87 0,88 0,80 1,12 0,92 2,33 0,96 1,29 0,92 0,85 0,74 1,15 0,57 1,14 0,83 0,87 1,56 0,82 1,65 0,98 1,02 1,14 0,76 0,72 0,51 0,87 0,96 0,82

GB 0,89 0,96 0,95 0,75 0,89 0,90 0,97 0,81 1,39 0,94 0,87 1,09 0,75 1,00 1,88 0,94 0,98 0,97 0,67 1,01 0,61 1,04 0,81 0,73 0,96 0,85 1,19 0,98 1,01 0,92 0,86 1,01 0,72 0,95 1,68

GR 0,81 0,37 0,91 4,58 1,70 0,53 0,92 0,54 0,65 0,92 0,64 0,98 32,93 4,89 2,47 2,66 0,36 2,42 0,53 1,93 7,76 0,77

HU 1,15 0,63 0,91 1,30 0,48 1,35 0,79 1,11 1,18 1,37 0,82 0,92 0,52 21,53 1,10 0,91 1,87 1,65 0,78 0,80 0,83 1,21 0,82 0,65 1,10 4,98

IE 1,57 0,48 1,89 0,64 0,87 0,97 0,98 1,11 1,58 0,90 0,88 1,05 1,32 0,77 1,15 0,78 1,57 12,18 0,76 1,65 2,68 1,20 0,62 0,87 0,72 1,72 0,42 1,44 0,72 1,31 1,08 0,79 0,91 0,50

IL 0,92 0,99 1,13 0,16 0,91 1,06 0,89 0,72 3,36 0,80 0,90 0,87 1,13 0,54 0,89 0,96 1,22 1,01 0,56 4,37 1,41 1,01 1,22 0,92 0,95 0,89 0,71 1,06 0,72 0,30 1,18 0,97 0,70 0,93 0,93 2,65

IN 0,93 0,72 1,08 1,28 1,20 0,87 0,81 1,34 2,60 0,70 1,26 1,34 0,81 0,90 1,18 0,33 0,70 0,83 0,69 8,28 4,69 0,91 0,88 1,17 0,78 0,56 1,06 1,11 0,72 0,52 0,74 2,22 0,81 0,87 5,40

IS 0,99 0,91 1,12 4,39 0,69 1,10 0,67 3,09 0,81 2,23 1,35 1,58 0,83 1,14 2,24 2,39 0,95 0,13 0,40 201,37 1,36 0,50 0,30 0,85 2,08 0,48 0,38 0,71 1,61 0,90 0,86

IT 0,70 0,76 0,89 1,05 0,66 0,85 0,90 0,91 0,95 0,83 0,62 1,10 0,78 0,95 0,97 1,04 0,90 1,16 0,85 1,32 1,25 3,84 0,88 0,83 0,96 1,25 0,82 1,06 1,22 0,85 0,75 0,65 0,62 0,89 2,04

JP 0,60 0,65 0,64 0,78 0,71 0,73 0,79 1,07 0,35 0,78 0,88 0,64 0,79 0,64 0,84 0,80 0,84 0,58 1,05 0,59 0,78 0,63 0,68 2,27 1,20 0,21 0,76 0,56 0,48 0,87 0,92 0,92 0,63 0,63 1,03 1,04 0,68

KR 0,46 0,61 0,65 0,48 0,38 0,75 0,77 1,53 0,67 0,88 0,94 0,62 0,66 1,08 0,72 0,73 0,72 0,71 0,83 0,70 0,74 0,40 0,68 1,20 5,22 0,86 1,11 0,48 0,46 0,57 0,92 0,69 0,91 1,56 1,05 0,53

LI 0,71 0,65 1,86 0,72 1,00 1,87 1,15 0,95 0,80 0,47 1,08 0,73 3,20 1,69 0,78 16,34 1,13 1,24 0,24 88,79 0,78 1,65 0,97 0,96 1,50 1,05

NL 0,99 0,79 1,00 0,44 0,82 0,75 0,92 0,85 1,52 1,06 1,00 0,65 0,92 1,16 1,04 0,97 1,02 0,76 0,99 0,69 0,88 0,69 0,80 0,89 1,02 0,31 2,87 0,88 0,90 0,95 1,49 0,69 0,69 0,47 0,73 1,03 1,18

NO 0,52 1,02 0,67 2,29 1,17 1,17 0,54 0,99 1,41 0,88 1,29 1,12 1,18 0,82 1,30 0,58 0,47 0,74 0,61 0,95 14,32 1,00 0,67 0,46 1,10 15,29 0,25 1,38 1,28 0,61 1,17 3,47 0,78 0,85 1,34

NZ 0,96 2,07 0,93 1,20 1,19 0,70 0,47 2,23 0,75 1,94 1,12 1,39 0,91 0,94 0,29 0,19 1,21 0,67 0,77 0,97 0,75 0,44 1,06 0,89 29,57 0,85 1,05 0,30 1,11 1,22 0,35 0,75 0,27

PL 0,76 1,04 0,21 0,70 0,61 1,71 2,94 1,10 0,91 0,64 0,75 0,82 0,56 2,56 1,14 0,38 0,79 1,08 1,88 0,37 25,24 1,55 0,46 0,30 1,03 1,63

PT 0,99 0,81 0,68 0,84 0,82 1,02 0,86 0,87 1,84 3,22 1,50 0,96 0,86 0,71 2,19 8,31 1,61 0,67 0,54 0,59 1,26 2,62 0,69 34,07 0,86 1,02 3,45 0,29 0,76 1,56

RU 0,45 0,41 0,76 0,84 0,63 0,58 2,02 1,75 1,12 1,02 0,89 0,71 1,08 1,07 0,88 1,82 0,80 0,79 1,79 0,74 0,78 1,09 15,97 0,36 0,87

SE 1,03 0,91 1,08 0,55 0,62 0,82 0,92 0,88 1,06 0,86 1,05 1,22 1,22 0,96 1,14 0,78 0,87 0,98 0,60 1,02 0,57 1,01 0,76 0,69 0,52 0,79 0,88 1,50 0,93 0,61 0,73 3,84 0,55 0,78 0,96 0,82

SI 2,53 0,19 0,47 0,79 0,39 0,55 0,50 0,48 0,42 1,17 0,73 1,27 2,00 4,69 19,38 1,13 0,97 1,26 0,73 1,02 0,80 5,18 1,70 100,51 0,33 1,08 5,45

TW 0,56 0,50 1,39 0,34 0,47 0,54 0,30 1,44 0,12 0,95 0,30 0,88 0,34 0,54 0,78 0,77 0,37 0,37 1,06 3,02 1,44 1,22 2,32 0,62 0,54 0,08 0,41 0,38 0,33 0,38 5,71 1,11 0,13

US 1,00 1,05 1,03 1,10 1,13 1,07 1,02 0,98 1,28 0,98 0,94 1,01 0,97 1,03 0,98 0,98 1,08 1,08 1,00 1,18 0,98 0,84 1,01 0,85 0,98 1,34 0,99 1,06 1,01 1,04 1,02 1,06 1,06 1,14 1,09 1,03 0,86

ZA 0,73 0,84 0,41 4,05 2,07 0,94 0,12 0,62 1,43 1,26 1,76 1,66 0,72 1,42 2,21 1,75 1,86 1,42 1,00 0,91 0,72 0,64 0,87 0,74 0,78 33,24

CITED SCIENTIFIC DOCUMENTS

CIT

ING

CO

RP

OR

ATE

PA

TEN

TS

Analyses & results

ANCOVA - Tests of Between-Subjects Effects

Dependent Variable: Number of Patents per mio capita (Citing Country)

Source

Type III Sum of

Squares df Mean Square F Sig.

Parameter Estimate

(B)

Corrected Model 2282,367a 39 58,522 100,608 ,000

Intercept 2,230 1 2,230 3,834 ,050 1,221

Scientific

performance (Citing

Country)

656,199 1 656,199 1128,096 ,000 2,958

Academic patenting

(Citing Country)

20,438 1 20,438 35,136 ,000 ,245

Science intensity of

patent portfolio

(Citing Country)

79,180 1 79,180 136,121 ,000 ,218

Herfindahl Foreign

Citations

2,710 1 2,710 4,658 ,031 -,435

Ratio Home versus

Foreign citation

intensity

,091 1 ,091 ,156 ,693 -,013

Technology domain

(FhG35)

298,384 34 8,776 15,087 ,000

Error 566,563 974 ,582

Total 19157,226 1014

Corrected Total 2848,930 1013

a. R Squared = ,801 (Adjusted R Squared = ,793)

• Sufficient levels of science-technology linkage are imperative for the

performance of national innovation systems.

• As such our findings underscore the relevance of science (for technology)

• Both scientific publications, the science intensity of patents and even the patenting behavior of academia are positively related with technical performance.

• On top, countries which ‘source’ science from a variety of countries, seem to benefit from this diversity.


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