taiex workshop on measures for public support to innovation 31 march 2015, chisinau, moldova...
TRANSCRIPT
TAIEX Workshop on measures for public support to innovation31 March 2015, Chisinau, Moldova
Monitoring and evaluation of Innovation Systems
Marius Mitroi, PhD
Innovation Ecosystems
enterprisesR&D
providers
government citizens
individuals and organizations that directly and indirectly invest time, energy and resources in the production of scientific and technical knowledge.
Innovation Ecosystems
“ .. the network of institutions in the public and private sectors whose activities and interactions initiate, import, modify and diffuse new technologies.” (Freeman, 1987)
“ .. the elements and relationships which interact in the production, diffusion and use of new, and economically useful, knowledge ... and are either located within or rooted inside the borders of a nation state.” (Lundvall, 1992)
“... a set of institutions whose interactions determine the innovative performance ... of national firms.” (Nelson, 1993)
Government Roles
Create and nurture a proper framework for innovation
• Taxation (R&D tax incentives. Tax holidays, VC Incentives, etc.)
• Legal framework(IPR, Patent system)
• Fiscal environment (investments in HE, fundamemtal R&D, Grants&Loans, VC&PE Support)
Importance of M&E
- consolidated source of information;
- building on expertise and knowledge;
- transparency and accountability
- it reveals mistakes/challanges that lead to improvements;
- it provides a basis for questioning and testing assumptions;
- incorporate experiences into policy and practice;
- assess the link between implementers, and decision-makers;
- development of institutional memory;
- robust basis for raising funds and influencing policy.
Basic knowledge flows among actors
1. Interactions between enterprises – joint industry activities
2. Interactions between private sector and public R&D providers - no. of joint R&D activities
- co-patents & co-publishing - citation analysis
- firm surveys
3. Diffusion of knowledge and technology to enterprises - technology diffusion – firm surveys
4. Mobility of personal – labor market statistics
Aproaches of M&E
1. Regional2. National3. International
Geographic
Analitical 1. Innovation surveys 2. Cluster interactions 3. International knowledge flows 4. Trusted data sources
Performance Indicators – basic indicators
Derived indicators:
• national wealth (GDP per capita) • R&D intensity (GERD/GDP) • scientific impact (citations/paper)
Basic measurement:• Population• GDP• GERD • BERD• Papers
European GDP growth 1st quarter 2014
Performance Indicators – European Scoreboard
Innovation performance – Summary Innovation Index(0..1)• Modest innovators• Moderate innovators• Innovation followers• Innovation leaders
EU Member States’ innovation performance
Performance Indicators – European Scoreboard
Innovation dimensions :1. Human resources 2. Research systems 3. Finance and support 4. Firm investments Low 5. Linkages & entrepreneurs6. Intellectual assets High 7. Innovators High 8. Economic effects
Country groups: innovation performance per dimension
Performance Indicators – European Scoreboard
ENABLERSHuman resources
1.1.1 New doctorate graduates (ISCED 6) per 1000 population aged 25-34
1.1.2 Percentage population aged 30-34 having completed tertiary education 1.1.3 Percentage youth aged 20-24 having attained at least upper secondary level education Open, excellent and attractive research systems1.2.1 International scientific co-publications per million population Science-Metrix (Scopus)
1.2.2 Scientific publications among the top 10% most cited publications worldwide as % of total scientific publications of the country
1.2.3 Non-EU doctorate students2 as a % of all doctorate students Finance and support
1.3.1 R&D expenditure in the public sector as % of GDP 1.3.2 Venture capital investment as % of GDP
Performance Indicators – European Scoreboard
FIRM ACTIVITIESFirm investments2.1.1 R&D expenditure in the business sector as % of GDP 2.1.2 Non-R&D innovation expenditures as % of turnover Linkages & entrepreneurship2.2.1 SMEs innovating in-house as % of SMEs 2.2.2 Innovative SMEs collaborating with others as % of SMEs 2.2.3 Public-private co-publications per million population CWTS (Thomson Reuters) Intellectual assets2.3.1 PCT patents applications per billion GDP (in PPS€) OECD 2.3.2 PCT patent applications in societal challenges per billion GDP (in PPS€) (environment-related technologies; health)2.3.3 Community trademarks per billion GDP (in PPS€)2.3.4 Community designs per billion GDP (in PPS€)
Performance Indicators – European Scoreboard
OUTPUTSInnovators3.1.1 SMEs introducing product or process innovations as % of SMEs 3.1.2 SMEs introducing marketing or organisational innovations as % of SMEs 3.1.3 Employment in fast-growing firms of innovative sectors Economic effects
3.2.1 Employment in knowledge-intensive activities (manufacturing and services) as % of total employment
3.2.2 Contribution of medium and high-tech product exports to the trade balance United Nations3.2.3 Knowledge-intensive services exports as % total service exports 3.2.4 Sales of new to market and new to firm innovations as % of turnover 3.2.5 License and patent revenues from abroad as % of GDP
Innovation Program indicators
INDICATORS unit/year1. No. of funded projects no.2. Success rate based on project proposals %3. % of private cofounding %4. No. of products/services/technologies no.5. No. of patents applications as a project result: a) national b) EPO (UE) c) USPTO (SUA) d) triadic (UE,SUA, Japonia)
no.
6. No. of patents as a project result: a) national b) EPO (UE) c) USPTO (SUA) d) triadic (UE,SUA, Japonia)
no.
Innovation Program indicators
INDICATORS unit/year
7. No. of participating SMEs no.
8. No. of scientific parks created no.
9. Values of transactions within tech transfer centers value
10. No. of brokerage centers involved no.
11. No. of tech incubators involved no.
12. No. of networks involved no.
13. No, of tech platforms involved no.
14. Value of R&D infrastructure value
15. No. of certified R&D labs no.
Innovation Program indicators
Innovation vouchers
382 – project proposals
360 – eligible proposals
176 – funded
1080 – evaluations
Success rate: 46%
0
50
100
150
200
250
Propuneri depuse
Series1Domeniu
Innovation Program indicators
Revenues after selling of developed products/services and technologies
Innovation Program indicators
Revenues after making use of developed products/services and technologies
Marius Mitroi, PhDHead of Innovation Funding DepartmentE-mail: [email protected]
Thank you!