1. TAIEX Workshop on measures for public support to innovation 31 March 2015, Chisinau, Moldova Monitoring and evaluation of Innovation Systems Marius Mitroi, PhD

2. Innovation Ecosystems enterprises R&D providers government citizens individuals and organizations that directly and indirectly invest time, energy and resources in the production of scientific and technical knowledge.

3. 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)

4. 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)

5. 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.

6. 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

7. Aproaches of M&E 1. Regional 2. National 3. International Geographic Analitical 1. Innovation surveys 2. Cluster interactions 3. International knowledge flows 4. Trusted data sources

8. 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

9. Performance Indicators – European Scoreboard Innovation performance – Summary Innovation Index(0..1) Modest innovators Moderate innovators Innovation followers Innovation leaders EU Member States’ innovation performance

10. Performance Indicators – European Scoreboard Innovation dimensions : 1.Human resources 2.Research systems 3.Finance and support 4.Firm investments Low 5.Linkages & entrepreneurs 6.Intellectual assets High 7.Innovators High 8.Economic effects Country groups: innovation performance per dimension

11. Performance Indicators – European Scoreboard ENABLERS Human 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 systems 1.2.1 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

12. Performance Indicators – European Scoreboard FIRM ACTIVITIES Firm investments 2.1.1 R&D expenditure in the business sector as % of GDP 2.1.2 Non-R&D innovation expenditures as % of turnover Linkages & entrepreneurship 2.2.1 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 assets 2.3.1 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€)

13. Performance Indicators – European Scoreboard OUTPUTS Innovators 3.1.1 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 Nations 3.2.3 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

14. Innovation Program indicators INDICATORSunit/year 1. No. of funded projectsno. 2. Success rate based on project proposals% 3. % of private cofounding% 4. No. of products/services/technologiesno. 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.

15. Innovation Program indicators INDICATORSunit/year 7. No. of participating SMEsno. 8. No. of scientific parks createdno. 9. Values of transactions within tech transfer centersvalue 10. No. of brokerage centers involvedno. 11. No. of tech incubators involvedno. 12. No. of networks involvedno. 13. No, of tech platforms involvedno. 14. Value of R&D infrastructurevalue 15. No. of certified R&D labsno.

16. Innovation Program indicators Innovation vouchers 382 – project proposals 360 – eligible proposals 176 – funded 1080 – evaluations Success rate: 46%

17. Innovation Program indicators Revenues after selling of developed products/services and technologies

18. Innovation Program indicators Revenues after making use of developed products/services and technologies

19. Marius Mitroi, PhD Head of Innovation Funding Department E-mail: marius.mitroi@uefiscdi.romarius.mitroi@uefiscdi.ro www.uefiscdi.gov.ro UEFISCDI Thank you!