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Project funded by Territorial strategies for innovation project Brussels-based office +32 2 280 44 98 www.octa-innovation.eu - [email protected]
OCTA INNOVATION
Compendium
of
EU Innovation Good Practice
25.10.2015
http://www.octa-innovation.eu/
Compendium of EU Innovation Good Practice
1
Table of Contents Abbreviations .................................................................................................................................... 3
INTRODUCTION ................................................................................................................................. 4
APPROACHES TO S3 PLATFORM / RIS3 SMART SPECIALISATION ......................................................... 5
Smart Specialisation S3 Platform ....................................................................................................... 5
EU Island Territorial Regional Economies ........................................................................................... 6
Azores ........................................................................................................................................... 6
Balearic Islands .............................................................................................................................. 6
Canary Islands ............................................................................................................................... 7
Cornwall and Isles of Scilly ............................................................................................................. 8
Crete ............................................................................................................................................. 8
Cyprus ........................................................................................................................................... 9
La Réunion Island ........................................................................................................................ 10
Sicily ............................................................................................................................................ 11
EU Mainland Territorial Regional Economies................................................................................ 12
Algarve ........................................................................................................................................ 12
Alsace .......................................................................................................................................... 13
Aragόn......................................................................................................................................... 14
Basque Country ........................................................................................................................... 14
Bratislava..................................................................................................................................... 16
Castilla y Leόn .............................................................................................................................. 16
Centre-France .............................................................................................................................. 17
Croatia......................................................................................................................................... 18
East Sweden ................................................................................................................................ 20
Estonia ........................................................................................................................................ 20
Friesland ...................................................................................................................................... 21
Languedoc-Roussillon .................................................................................................................. 23
Latvia........................................................................................................................................... 23
Lower Austria .............................................................................................................................. 24
Lubelskie ..................................................................................................................................... 26
Marche ........................................................................................................................................ 27
Mazovia ....................................................................................................................................... 27
Moravia-Silesia ............................................................................................................................ 29
Nordland ..................................................................................................................................... 29
Piedmont ..................................................................................................................................... 30
Compendium of EU Innovation Good Practice
2
Pomorskie ................................................................................................................................... 31
Puglia .......................................................................................................................................... 32
Satakunta .................................................................................................................................... 33
Slovenia ....................................................................................................................................... 33
South Moravia ............................................................................................................................. 34
Sterea Ellada................................................................................................................................ 35
Tuscany ....................................................................................................................................... 36
Umbria ........................................................................................................................................ 37
Vojvodina .................................................................................................................................... 39
Weser-Ems .................................................................................................................................. 40
SMART SPECIALISATION CASE STUDIES ............................................................................................ 41
ANNEX 1: Smart Specialisation – A Strategy for all Regions .............................................................. 48
ANNEX 2: Recensements bonnes pratiques ..................................................................................... 50
ANNEX 3: High Profile Examples of EU Good Practice ...................................................................... 51
ANNEX 4: Lessons Learned from the RITTS scheme (2002) ............................................................... 54
ANNEX 5: Priorities for the Improvement of Innovation Strategies .................................................. 57
ANNEX 6: Further Reading and Reference Sources........................................................................... 58
Compendium of EU Innovation Good Practice
3
Abbreviations PC or pc Per capita / per capita
AMT Advanced Manufacturing Technologies
BERD Business Expenditure on Research and Development
BSC Balanced Scorecard / Business Services Centre (according to context)
CP On page 46 – check for meaning (Consumer Products?
EPO European Patent Office
EU-ISB EU Innovation Scoreboard
GERD Gross Expenditure on Research and Development
HAMHIT High and Medium-High Technology (e.g. sectors)
HR Human Resources
I&T Innovation and Technology
I&TT Innovation & Technology Transfer
Inst/s Institution / Institutions
KET Key Enabling Technologies
KIBS Knowledge-intensive Business Services
KIT-ESPON Knowledge, Innovation, Territory Project – European Spatial Planning Observation Network
KPI Key Performance Indicator
MINT Management of Innovation and New Technology
PESTLE or PESTEL
Political, Economy, Society, Technology, Legal, Environment or Environment Legal
Quadruple Helix
As for Triple Helix but usually also engaging Civil Society and/or other key stakeholder groups in the process
RDTI Research, Development, Technology and Innovation
RES Renewable Energy Source
RISB Regional Innovation Scoreboard
RITTS Regional Innovation & Technology Transfer Strategies
S&T Science & Technology
SIDS Small Island Developing States
SS Smart Specialisation
STI Scientific and Technological Institutional facilities
SWOT Strengths, Weaknesses, Opportunities, Threats
Triple Helix Collaboration of University, Business and Government to enhance innovation capacity
TWG Thematic Working Group
USP Unique Selling Proposition
Compendium of EU Innovation Good Practice
4
INTRODUCTION The EU has a long history of funding support for research, development and innovation. The
framework programme (FPs 1 – 7, now Horizon 2020) which started in 1984, the Regional
Innovation Strategy and Regional Innovation and Technology Transfer Strategies programmes
(RIS-RITTS) of the 1990s and first decade of C21, ERDF via the on-going INTERREG programmes to
name only a few of the bigger programmes; and in more recent times the promotion of the S3
Platform with its focus on support for RIS3 Smart Specialisation projects and ensuring that regions
remain abreast of and successfully participate in present and foreseeable developments in
technology and innovatory-driven economic growth.
In effect, the EC and the individual MS together form a vast institutional memory bank and
repository of knowledge related to the pursuit of innovation. That is the good news. The not so
good news is the difficulty of finding and then accessing the appropriate data in a format that is
both relevant and comprehensible to the need. This is especially true for small less favoured
nations for whom the benchmarking of good international practice may have to take the place of
indigenous applied RDI capacity.
However, benchmarking should be approached with caution. The cases studied should be treated
as sign-posts to solutions or lessons from which to learn rather than being transposed from one
environment to another as carbon copies without making allowances for cultural differentiation.
Learn from the methodology, not from the implementation. The Compendium of EU Innovation
Good Practice is based on that precept. It also aims to be mainly contemporary in content.
Hopefully it will also help to resolve some of these issues for the OCTs
The first section focuses on the EU S3 Platform and 38 active RIS3 projects which includes 8 island
economies. The tables provide a short profile of the concerned region’s economic and RDI
capacity followed by data which present the essence of the project’s strategic priorities and the
methodological structure that was adopted.
The second section covers findings from a Smart Specialisation case study of 11 EU regions
undertaken by Dr Raquel Ortega-Argilés of Groningen University. This document presents the
analysis of a set of European regions that in recent years have undertaken processes of economic
transformation in line with the objectives of Europe 2020 (sustainable, inclusive and smart growth
strategies). The policy strategies share various features and patterns, but also exhibit differences
related to historical and economic environment.
The Annexes to the Compendium include an extract from a Smart Specialisation concept paper by
DG REGIO (Annex 1); Special Reports by OCTA Innovation Experts (Annexes 2 and 3). Lessons
Learned from 42 EU regions that participated in the Regional Innovation and Technology Transfer
Strategies programme (Annex 4); and Priorities for the Improvement of Innovation Strategies
(Annex 5). Annex 6 provides on-line links to a range of EU, OECD and other documents for further
reading and reference.
Milan Jezic von Gesseneck, Team Leader, Innovation Expert
James Dick, Innovation Expert
Compendium of EU Innovation Good Practice
5
APPROACHES TO S3 PLATFORM / RIS3 SMART SPECIALISATION
Smart Specialisation S3 Platform The S3 Platform assists EU countries and regions to develop, implement and review their
Research and Innovation Strategies for Smart Specialisation (RIS3). Established in 2011 the role of
the S3 Platform is to provide information, methodologies, expertise and advice to national and
regional policy makers, as well as promote mutual learning, trans-national co-operation and
contribute to academic debates around the concept of smart specialisation. Services include:
Providing guidance material and good practice examples
Organising information sessions for policy makers and participating in conferences
Providing training to policy-makers
Facilitating peer-reviews
Supporting access to relevant data
Participating in high quality research projects to inform strategy formation and policy
making
Registration on the S3 Platform is open to regional and national administrations of EU, candidate
and neighbouring countries.1The S3 Platform is hosted by the Institute for Prospective
Technological Studies (IPTS) in Seville, part of the European Commission's Joint Research
Centre. It is made up of three main parts:
A project management and research team at the IPTS.
A Steering Team gathering representatives of several Commission Services
A Mirror Group composed of leading academics and experts in the fields of innovation
and regional development, as well as representatives of networks such as EURADA.
ERRIN, EBN, OECD, European Cluster Observatory and European Cluster Alliance.
The Joint Research Centre (JRC) is the scientific and technical arm of the European Commission
which produces multi-disciplinary research to inform EU policy challenges. Smart specialisation is
an example of how theory and practice can inform each other and how the EU can draw on the
wide range of academic expertise in the various institutes of the JRC.
The Platform organises two main types of events: Outreach seminars in different European
locations explain and promote the concept of smart specialisation to all interested regions and
institutions; Workshops for registered regions address specific aspects of concern to regional
policy makers. In addition, the Platform can support Member States in organising national events
on Smart Specialisation.
The Platform develops mutual trans-national learning tools shifting gradually from the more
general assessment of national and regional smart specialisation strategies to more targeted
"discussion paths" on specific themes, with regard namely to: (i) specific actors / stakeholders of
the RIS3 (ii) common features of regions such as rural / urban areas, peripheral areas etc.; (iii)
specific policy tools (such as governance setup, funding tools, cluster support, monitoring and
evaluation, etc.; (iv) common RIS3 priorities of regions and countries. The website will be of use
to anyone interested in smart specialisation. In addition, specially designed interactive tools are
currently being designed as online resources for registered regions and countries.
1The list of registered regions and countries can be found at: http://s3platform.jrc.ec.europa.eu/home
http://s3platform.jrc.ec.europa.eu/home
Compendium of EU Innovation Good Practice
6
EU Island Territorial Regional Economies
Azores
TERRITORY The Azores Region of Portugal
Data Source & Date
RIS3 2014-2020 Smart Specialisation Strategic Concept (S3 Platform) (2013)
Profile
Area: 2,333 km2 / Exclusive Economic Maritime Zone 953,633 km2
GDP: 15,197 € pc (2010) Growth rate: Energy: R&D: Expenditure 0.7% of GDP 1 University.
Population: 246,746 (2011) Unemployment: Education: Tertiary education 9.9% (2011) Poverty Rate: Key sectors: Services (74%) Industry (17%) Agro and Fisheries (9%)
Innovation Aims / Strategy
Focus investments on a limited number of priorities
Upgrade and improve policy instruments
Mobilise stakeholders participation in innovation processes
Improve internal and external connections and positioning in EU and global value chains
Innovation Actions / Methodology
Methodological approach in 6 steps 1) Definition of Governance Structure i.e. Management team, Steering Group, Mirror group
(small advisory group of experts), Thematic groups and Project-specific groups 2) Analysis of the regional context i.e. analysis of regional economy, society and innovation
infrastructure with dimensions covering regional assets, EU and global linkages and the entrepreneurial environment. The process is one of looking beyond boundaries
3) Mobilisation and promotion of entrepreneurial process of discovery i.e. the development of a shared vision through the quadruple helix model that draws in Regional Government, the University, the Business Community and Society.
4) Selection of a limited number of priorities. The mail challenge is to strike a viable balance between bottom-up and top-down processes
5) Define the strategy i.e. Policy mix, Roadmap and Action Plan. Strategy definition demands the close commitment of all relevant bodies and actors. Strategy definition leads to the conceptualisation and determination of Pilot Projects under an Action Plan
6) Definition and implementation of Monitoring and Evaluation mechanisms
Innovation Outcomes
A strategic document setting the vision, priorities and action plan
An Ongoing System for the permanent process of identification of opportunities and updating of the adopted strategy
Balearic Islands
TERRITORY Illes Balears (Balearic Islands) Region of Spain
Data Source & Date
RIS3 2014-2020 Smart Specialisation Strategic Concept (S3 Platform) Plan for Science, Technology & Innovation Plan of the Balearic Islands 2009-2012 Government of the Balearic Islands
Profile
Area: 4,992km2
GDP: 26,692 € pc (2.5% of national GDP) Growth rate: Energy: R&D: 1 university (54.7% of RDI costs)
Population: 1,119,000 (2012) Unemployment: 2.77% (2015) Education: Poverty Rate: Key sectors: Tourism + Services (81%)
Innovation Aims / Strategy
Prioritise areas of technology, markets and sectors where existing clusters work – in particular Tourism and its technology domains
Prioritise Clusters as tools for knowledge generation according to market needs
Compendium of EU Innovation Good Practice
7
TERRITORY Illes Balears (Balearic Islands) Region of Spain
Innovation Actions / Methodology
Maximise and support the role of Tourism as an engine for regional development (indicators: 43% of GDP/30% of employment/81% of exports/39% of taxes)
Cluster enhances tourism activities in different technology domains e.g. Creative Industries, Sea technologies, Life Science Biohealth, Media, Music, ICT
Pilot or Main Projects
Initiatives whereby Tourism stimulates economic activity and employment through ICT solutions that embrace travel agencies, tour promoters, airport services and air transport, accommodation, restaurants, sailing ports and marinas, marine transport
Innovation Outcomes
Tourism sector is main driver of the economy
Tourism acts to integrate activity of technologies
Tourism promotes development of specialised activities based on knowledge
Lessons Learned
Tourism requires the kind of policy that supports the ability to generate knowledge in an industry that does not create technology but uses it
Canary Islands
TERRITORY Canarias (Canary Islands) Region of Spain
Data Source & Date
RIS+ Innovative Actions ERDF Innovative Actions 2000-2002 DG Regional Policy
Profile
Area: 7447km2
GDP: 19,806 € pc (41,732,769 € (2011) Growth rate: Energy: R&D: 2 universities, RD centres, Technology Parks
Population: 2,126,769 (2011) Unemployment: 30.8% Education: Poverty Rate: Key sectors: Tourism
Innovation Aims / Strategy
Develop relevant technological resources
Increase capacity to create innovative firms
Coordinate institutional support for innovation waste management
Strengthening local services and support network for the promotion of cultural tourism
Innovation Actions / Methodology
Support to the diffusion and marketing of technology centres and university research
Design of Business Plans
Access to private/public funding
Website support for innovation
Feasibility study for technology centre for furniture industry
Innovation Outcomes
Quality charter prepared for and adopted by technology transfer offices in universities and research centres
Practical guide on the tax system for RDTI activities, including critical analysis of national incentives and recommendations
5 year Innovation Action Program (NIAP)
Portal to web-based services
Lessons Learned
Administrative difficulties caused significant delay
RIS+ was good preparation for implementation of the NIAP
Key role of digital platform for disseminating integrated support services for innovation will lead to further development of website portal and boosting of internet access in rural areas.
Compendium of EU Innovation Good Practice
8
Cornwall and Isles of Scilly
TERRITORY Cornwall and Isles of Scilly Regions of United Kingdom
Data Source & Date
RIS3 2014-2020 Smart Specialisation Strategic Concept (S3 Platform) Cornwall and Isles of Scilly Local Enterprise Partnership
Profile
Area: 3,563km2 (coastline 697 km)
GDP: 8.8 billion € (total economy value) Growth rate: 9% (2009) Energy: R&D: 2 universities, 3 Innovation Centres
Population: 535,300 Unemployment: 15,000 (2011) Education: 27% (working age with NVQ4) Poverty Rate: Key sectors: Business Services
Innovation Aims / Strategy
Vision: Leadership in in innovative business and low carbon technologies
Green Economy – renewable Energy and Energy Efficiency
SME Innovation and Competitiveness
Smart, sustainable and inclusive growth
Innovation Actions / Methodology
Working with private and public sector partners. Public consultations.
Encouraging new innovation and R&D into Cornwall
Promote Business-University cooperation
Invest in R&D and enterprise
Bringing superfast broadband to Cornwall and Scilly Isles
Focus on addressing low productivity across all sectors
Focus on support for high value businesses
Alignment with national agenda
Pilot or Main Projects
Areas for pilot activity include:
Smart grid development
Renewable energy technologies e.g. marine energy, floating wind and bio fuels
Innovation Outcomes
Businesses reach their national and global potential
Great career opportunities attract the top-calibre talent
Value created out of Knowledge
Responsible use of the natural environment as a key economic asset
Crete
TERRITORY Crete Region of Greece
Data Source & Date
RIS3 Regional Assessment (Smart Regional Specialisation) DG REGION (2012)
Profile
Area: 8,336 km2
GDP: 19,900 € pc (85% of EU 27 average) Growth rate: GDP pc 1.24% (2009) Energy: R&D: 2 universities, 1 Technological Institute, 2 Research Centre. Regional Innovation Council. Modest-high innovator (RISB) Business R&D and patenting very low
Population: 623,100 (5.5% of Greece (2011) Unemployment: 4.0% Education: Poverty Rate: Key sectors: Services (80.75); Trade & Tourism (38%); Industry (13.8%)
Innovation Aims / Strategy
Vision Strengthen competitiveness and enhance attractiveness of Crete in conditions of sustainable development Strategic Orientations
Development and modernisation of physical infrastructure
Strengthen productive investment, innovation and effective use of ICT
Upgrade educational infrastructure, health and welfare
Compendium of EU Innovation Good Practice
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TERRITORY Crete Region of Greece Sustainable environment management and enhancement of cultural heritage
Enhance spatial and social cohesion and improve quality of life for residents Priorities of Research and Innovation policies
Expansion of markets and technological and organisational modernisation
Promote a culture of innovation
Encourage internationalisation of enterprises Expansion of the productive base, creation of new jobs and competitiveness of tourism
Cyprus
TERRITORY Cyprus EU Member State
Data Source & Date
RIS3 2014-2020 Smart Specialisation Strategic Concept Leonidas Antoniou (rapporteur) National RIS3 Governing Board
Profile
Area: 9,251 km2 GDP: 19.9 billion € PC 22,582 € Growth rate: - 6.0% Energy: R&D: 3 public universities, 5 private universities
Population: 900,000 Unemployment: 15.7% Education: Tertiary 25-64 age group 77.6% Poverty Rate: Key sectors: Tourism, Energy, Environment Agro-food, Construction, Transportation, Health
Innovation Aims / St
Policy – 3 Pillars (1) Smart Growth (2) Sustainable R&I System (3) Support for the R&I system
Objectives
Enhancement of the effectiveness of the RDTI system and its targeted interconnection with the production base through modernisation and technological diversity of the priority sectors
Enhancement of economic competitiveness through the adoption of new forms of innovation and penetration into new markets
Enhancement of the quality of life in Cyprus Strategy
Promote an Innovation Quadruple Helix i.e. cooperation between institutions of higher education and research, enterprise, policy makers and key actors and stakeholders from the wider society.
Increase participation of SMEs in RDTI-related activities
Increase the private sector’s investment in RDTI process
Improve the capacity, quality and ability of the RDTI institutions to support economic competitiveness and social advancement
Increase research-related job opportunities and attract qualified scientists and engineers
Innovation Actions / Methodology
Desk Research e.g. Case studies, National and international economic and RDTI reports, Evaluation of RDTI programmes, Evaluation of participation in RDTI programmes, Statistical data for Cyprus and EU, Sectoral analyses
Field Research e.g. Quantitative data, Questionnaires to enterprises, Qualitative data – interviews with opinion leaders and focus groups
Public Consultation e.g. Government bodies, Universities, Enterprises, NSA and wider public, Governing Board, Open workshops, Thematic workshops, Publicity and Awareness creation
Pilot or Main Projects
Modernisation of the institutional framework
Upgrading the mechanisms supporting the RDTI system
Expanding the sources of and access to funding mechanisms for RDTI
Creating a national culture of innovation in business and throughout society
Compendium of EU Innovation Good Practice
10
TERRITORY Cyprus EU Member State
Innovation Outcomes
A thorough and critical review of the literature initiated – presently ongoing
A methodology for monitoring utilising Social Network Analysis has been adopted – now to be empirically tested
Awareness activities and promotional workshops aimed at private sector investment have been initiated – presently ongoing
Lessons Learned
In an era of severe economic constraint, private sector investment is critical for fostering further innovation and growth
La Réunion Island
TERRITORY La Réunion France
Data Source & Date
RIS3 Smart Specialisation French Department Overseas (2012) Sole Outermost Region of Europe in the Indian Ocean (up to 2014)
Profile Area: 2505 km2
GDP: 18,000 € Growth rate: 4.5% Energy: 33.5% renewable R&D: 1 university, 40 research units
Population: 839,500 35% above 20 years old Unemployment: 29% (2010) Education: Poverty Rate: 49% (2008) Key sectors: Trade and Non-trade services
Innovation Aims / Strategy
Wide definition of innovation, resting on 3 pillars: Human, Economic and Territorial Competitiveness and 8 strategic orientations: Human I. Raise level of qualifications to correspond with economic realities, especially Strategic
Business areas II. Build innovative tools to combat illiteracy Economic III. Optimize local resources to support and encourage networking IV. Put companies in a position to innovate V. Create conditions for implementing downstreaming projects Territorial VI. Implement integrated approach to planning
VII. Provide greater visibility for innovation VIII. Establishing a consistent and ongoing culture of innovation
Innovation Actions / Methodology
Bonus from public funding awarded to SMEs for innovation projects
An open service for monitoring Calls and helping stakeholders respond to Calls
Strengthen Governance: Strategic Committee (State, Regional & Departmental representatives) – Regional Committee for Innovation (11 public and private sector entities + 4 VIPs) – Operators Committee (28 organisations with links to projects and businesses)
Pilot or Main Projects
Development of Clusters in sectors with future growth potential:
Biotechnology (e.g. Biofuel) and Life Sciences
Energy (e.g. Ocean thermal energy conversion)
Fishing and Aquaculture (e.g. Marine innovation platform)
ICT (e.g. Environmental Monitoring Satellite-aided Station)
Tourism (Pole of excellence)
Environment
Innovation Outcomes
Establishing Réunion as a centre for testing and adapting European technologies and products and proposing solutions on topics that are of main interest for the intertropical markets
Improvement of the whole innovation chain
Compendium of EU Innovation Good Practice
11
TERRITORY La Réunion France
Lessons Learned
Developing and pursuing innovation strategy is a bottom-up process
Good governances provides the framework that allows both bottom-up and top-down initiatives to function
Given a strong boost and a positive signal Business-oriented clusters will develop
Inter-regional/neighbourhood cooperation benefits all parties
Social innovation is a critical consideration when planning strategies for innovation and change
Sicily
TERRITORY Sicily Region of Italy
Data Source & Date
RIS3 2014-2020 Smart Specialisation Strategic Concept Giuseppe Polizzano, Evaluation Unit Ministry for Economic Development
Profile
Area: 25,706km2
GDP: 71% of EU27 average (2011) Growth rate: Energy: R&D: “moderate innovator” (RISB 2012)
Population: approx. 5 million Unemployment: 14.4% (2011) Youth Unemployment 42.8% Education: Poverty Rate: 41.3% Key employment sectors: Services 50%
Innovation Aims / Strategy
Strategy development is focused on regional clusters covering agri-food, smart manufacturing and life sciences
Coordinating regional with national cluster policies (project of the MoED)
Strategic Vision embraces Social Innovation, Knowledge interfaces, Funding for innovation
Innovation Actions / Methodology
Start from existing assets relating to specificities of Sicily
Focus on ST areas where the region is already showing good results
Build on areas and applications with the potential for having the most widespread impact
Strengthen interaction between policy and funding sources
Strengthen the involvement of new stakeholders and partners in implementation
Develop pilot projects in the field of social innovation linked to the role of ICT
Better and more effective alignment of support and instruments with beneficiaries’ needs
Innovative financial tools (seed capital, VC) and PPF to support early stage innovation
Innovation Outcomes
Further analysis of distinctive competences in terms of research capacities and human resources and embedded potential of endogenous assets
Further discussions and development action with productive sectors
Scenario analysis
Final identification, definition and setting of the regional priorities for smart specialisation
Lessons Learned
High public funding for R&D and human resource but low output in terms of patents, spin-offs etc.
Regional research lacks governance, connectivity and integration
Regional innovation strategy lacking in focus and definition
Procedures and response times not in line with firms’ needs
Some effective support for SMEs has been achieved in spite of their low propensity to innovation and lack of patenting in hi-tech sectors
Potentiality of innovation comprised through weak regional strategy, insufficient funding or capital, broken system of governance.
Compendium of EU Innovation Good Practice
12
EU Mainland Territorial Regional Economies
Algarve
TERRITORY Algarve Region of Portugal
Data Source & Date
RIS3 2014-2020 Smart Specialisation Concept S3 Platform) Regional Coordination and Development Commission (CCDR) (2013)
Profile
Area:
GDP: 7.78 billion € PC 17,774 € Growth rate: 1.9% Energy: R&D: 0.45% of GDP 1 public university
Population: 451,006 Unemployment: 17.9% (Youth 40.3%) Education: Higher education 17.3% of pop Poverty Rate: Key sectors: Tourism and related services (66.67%) Construction, Aquaculture, Food and Cork
Innovation Aims / Strategy
Main Socio-Economic RIS3 Objectives (stakeholder needs and societal challenges)
Reduce dependence of tourism on season factors
Develop ‘niches of excellence’ in areas that benefit from ‘related variety’ with tourism
Exploit the potential of maritime cluster in Algarve
Diversify the economic base of the region creating added value and job RIS3 Priorities – Key criteria for definition of priority areas
The existence of key assets and capabilities
Their potential for regional diversification
The potential has and realistically can achieve critical mass RIS3 Priorities
Consolidated Sectors – Tourism and Sea Economic significance, capacity to create and sustain jobs and have solid R&D basis
Emerging Sectors – Ago-feed, ICT, Creative, Renewable Energy, Health and Life Sciences Sectors displaying potential at regional level to have the capacity to drive a Smart Specialisation Strategy, but which also display systemic weaknesses that are hindering economic development.
Innovation Actions / Methodology
The strategy and its implementation is intended to integrate and exploit the synergies between different policies and funding sources
Relevant stakeholders and partners are involved in the implementation stage OF RIS3
RIS3 will stimulate private RDI investment as well as being designed to benefit from the DUI mode because of the relevance of the tourism sector
CCDR is the responsible body for RIS3 implementation.
Lessons Learned
Next Steps
The linkage of Tourism to other priority areas will help to get smart specialisation up and running
The creation of adequate policy mix and governance tools to facilitate the implementation process is critical
Algarve needs support in defining adequate monitoring schemes and control mechanisms to underpin the governance of the programme
Compendium of EU Innovation Good Practice
13
Alsace
TERRITORY Alsace Region of France
Data Source & Date
RIS3 2014-2020 Smart Specialisation Concept (S3 Platform) Directorate of Innovation, Research and Higher Education Operational Committee of Innovation of the Regional Council of Alsace (2012)
Profile
Area: 8,280 km2 GDP: 52,076 M€ PC 27,986 € (2010) Growth rate: Energy: R&D: 2 universities, 3 research centres, 6 regional centres for I&TT.
Population: Unemployment: Education: Poverty Rate: Key sectors: Trade Transport & Services (44.3%) Education Health & Public Admin (29.5%) Industry (18.2%), Construction (6.5%) Exports PC 15,800 € (2011)
Clusters
5 Competitiveness Clusters
Pharma, Biotech, Medical Instruments
Focus on Vehicle and Mobility solutions of the future. Cross-border cluster cooperation
Fibres: Wood, Paper, Textiles, Composites. Cross-border cluster cooperation
Development of Energy-plus solutions in the construction sector
Continental Water issues: Pollution management, Quality of water systems, water protection. Cross- border cluster cooperation
6 Regional Clusters
116 food processors and producers
Vine health and wine quality, agronomy and environment. Dedicated collaboration between researchers, agricultural organisations and services companies
100 ICT companies developing and marketing digital technologies and solutions
40 companies representing industrial textiles, textile schools, laboratories & research centres
Eco-companies and Alsatian research specialised in environment issues
Domestic furnishing and equipment and the design of future furnishing solutions
Innovation Aims / Strategy
4 levers for strategic action Addressing culture of innovation and creativity within SMEs Developing the skill and capability of firms to innovate Promoting a collaborative approach and academic research partnerships Promoting the region and its innovation-friendly business infrastructure
3 Regional Convergences Green economy Health and Wellness Humanities and social issues
Innovation Actions / Methodology
Key Challenges for Action
Foster the development of SMEs
Strengthen the industrial innovation footprint
Facilitate commercialisation of innovation
Foster R&D, business and emerging market cooperation
Foster culture of innovation and creativity Methodology Main Steps
Diagnostic e.g. SWOT, Issues and strategic orientations
S3 Definition e.g. diagnostic elaboration, identification of main actors, establishment of working groups based on the 3 convergences
S3 Elaboration e.g. KPIs and evaluation
Innovation Advisory Committee consultation
Validation of RIS3 plan by Steering Committee / relevant authorising body
Compendium of EU Innovation Good Practice
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TERRITORY Alsace Region of France
Innovation Outcomes
Cross-border situation of Alsace defined and cooperation focused on mutually productive areas
Favourable institutional environment established and consolidated i.e. strong governance for innovation and a national/regional cluster policy implemented
1 Bio€ (over 10 years) earmarked for Alsace in recognition of its excellence in research
Lessons Learned
State-region participation based on common diagnostic, and a participatory approach built on stakeholder working groups will support a good connection between entrepreneurial dynamics and strategic orientations
Aragόn
TERRITORY Aragόn Region of Spain
Data Source & Date
RIS3 2014-2020 Smart Specialisation Concept (S3 Platform) DG Research & Innovation, directorate of Ministry of Industry & Innovation (2012)
Profile
Area: 47,720 km2 (9.5% of Spain) 95% consists of “fragile” rural zones Growth rate: 1.5% GDP (2012) Energy: R&D: University system, Research Insts, International STI, I&T centres, Science Parks and Technological Poles. Budget for Innovation 35 M€ until 2017 but low research absorption
Population: 1,346,293 (2.85% of Spain). 50%+ live in Zaragoza metropolitan area Unemployment: 21.86% (2013) Education: Tertiary in 25-64 age group = >120% of EU average Poverty Rate: Key sectors: Services (61%), Agriculture (17%), Construction (13%), Energy (5%). SMEs
Compendium of EU Innovation Good Practice
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TERRITORY The Basque Country
Energy: R&D: expenditure 2.12% GDP (2012) Well-established regional STI network 4 universities, 4 technology parks 210 patents filed (2012) RIS3 focus on Biotech, Nanotech, Alternative Energy
Key sectors: Services (62%), Industry (21.3%) Construction 6.5%, Ag & Fisheries (0.8%) 11 consolidated clusters and 9 pre-clusters Service sector growing in importance
Innovation Aims / Strategy
The Vision is to develop the actions required to position the Basque Country among the most advanced and competitive regions in Europe
Target markets
Ageing society
Digital world
Transport and mobility
Energy (renewable) Science industry
Cross-technology Domains
Biosciences
Nanoscience
Advanced manufacturing
Boosting Competitiveness through Diversity
Build a society embedded in the global economy connected with the R&D system and international companies
Increase competitiveness through fostering Knowledge, Creativity and Cooperation
Ensure a sustainable future in economic, social and environmental terms through the development of new activities and markets
Innovation Actions / Methodology
Identifying priorities
Analysis of sectoral possibilities and needs
Analysis of regional assets and RDTI capacities
Define priority focus areas (see above)
Regional vision-building through dialogue with government, entrepreneurial, scientific and business actors
Methodology and Selection criteria
Build on the established platform of a long tradition in strategic planning of regional industrial and RDTI policy
Organise a programme of focus groups, interviews, feed-back and comments on proposals
Prospective analysis of the overall RDTI capacity and overall trends in global society and economy
Coordination between Regional Ministries (inter-departmental) and provincial and local authorities (multi-level) and between public and private agents (consensus)
Generate and cultivate an Entrepreneurial Process of Discovery
Innovation Outcomes
Global partnerships in RDTI and commercialisation of innovative products established
International business activities and the international capability of SMEs strengthened
R&D cooperating networking activities (intercluster cooperation) taking place
Universities participating in strategic partnerships and cooperating with business
Effective outreach to involve/include smaller and/or non-innovative companies
Lessons Learned
Important to find the balance between demanding active participation and not “disturbing” the actors with unfruitful events and actions
On an on-going basis, international benchmarking and comparison with key indicators is an important issue
Compendium of EU Innovation Good Practice
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Bratislava
TERRITORY Bratislava Self-Governing Region (BSK) Region of Slovakia
Data Source & Date
RIS 3 2014-2020 Smart Specialisation Concept (S3 Platform) BSK jointly with Ministry of Education & Science (MinEdu) (2012)
Profile
Area: 2,053 km2 GDP: 46,648 € pc Growth rate: Energy: R&D: 3 universities 53% nation R&D staff / 62% of FP7 1.2% GDP Main research activities: Engineering, Natura; Sciences, Humanities (2012) EU-ISB ranked 22/27 FP7 Participation ranked 22/27 No prior national innovation strategy
Population: 625,300 (2014) Unemployment: 14% (Young People 32%) Education: Tertiary – High % of population Poverty Rate: Key sectors: Automotive industry (VW etc) Knowledge-intensive services Trade and services, banking and insurance
Innovation Aims / Strategy
Strategic Vision: Creating of an R&D region of European significance
Achievement of clear leadership in implementation process
Ensure secure financial arrangements
Secure central government support
Innovation Actions / Methodology
Roadmap and concrete action plans under development
Sources of funding are uncertain and State budget services are limited
Industry stakeholder involvement must be strengthened
Lessons Learned
Awareness is not yet sufficient but it is improving. The Ministry of Finance and the business community must be made better aware of the R&D initiatives and opportunities
Castilla y Leόn
TERRITORY Castilla y Leόn Region of Spain
Data Source & Date
RIS3 2014-2020 Smart Specialisation Strategic Concept (S3 Platform) Commissioner for Science &Technology and Innovation Policy + Triple Helix Partnership (2013)
Profile
Area: 94,22m km2 GDP: 53.5 billion € PC 21,879 € (2012) Growth rate: Energy: R&D: GERD as % GDP – 1% 4 public and 4 private universities 5 research institutes and 10 units 2 national research centres HAMHIT companies (1.4% of all) account for 65% of business RDI expenditure
Population: 2, 519,875 (2013) Unemployment: 21.2% (2014) Education: Poverty Rate: Key sectors: Services (69.6%), Industry (15.5%), Construction (8.3%), Agriculture (6.6%) 13 clusters of which 6 account for 59% of regional economy (Automotive, Components & Equipment, Agro-food, Health, Energy & Environment, Tourism)
Clusters Four main priorities in support of emerging clusters:
Strategic: clusters which are needed for sustaining employment and economic wealth
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TERRITORY Castilla y Leόn Region of Spain Emerging: clusters benefitting from global trends in fields where CyL has competitive
advantage
Complementary: clusters needed to improve the competitiveness of the above
Traditional: clusters with historic relevance for employment and the economy of CyL
Innovation Aims / Strategy
Strategic Vision for the future of Castilla y Leόn and Main Objectives of RIS3: To achieve a competitive position in a global context to contribute to the Region’s goals Employment and sustainable economic growth
Social and territorial cohesion
Improved quality of life
Build evidence base for RIS3. Analysis and Diagnosis of Regional Context and Innovation Potential
Sectoral analysis: Automotive, Agro-business, Health and Quality of Life, Environment and Energy, Habitat, Tourism and Heritage
Interviews with: Public Administration, Companies, Researchers, Technology Centre, Knowledge Transfer entities
Focus Groups: Universities, Knowledge Transfer entities, Companies
KET Workshops: Advanced Materials, Bio-Technology, Advanced Processes, ITC
SWOT analyses: (1) RDI agenda (2) Knowledge Digital Society (KDS) agenda,
Look beyond regional boundaries
Review of external context e.g. potential for regional collaboration in macro-economic activity; Internationalisation of RDI system
Look at entrepreneurial dynamics
Process of Discovery e.g. continuous dialogue with regional actors to explore and identify Specialisation Patterns, Horizontal Priorities (strategic and specific objectives), Vertical Priorities (technology trends, scientific areas, economic sectors)
Innovation Actions / Methodology
Action Plans to be developed by each Ministry
Budget to be specified but will comprise: Regional Budget appropriations, Funds obtained from Competitive Calls (national and EU), Private sector RDI investments
Lessons Learned
Next Steps
Validation of the selected vertical priorities Establish monitoring and evaluation system Elaboration and agreement of budget Complete final version of strategy Formal approval by regional government Official public presentation of RIS3
Centre-France
TERRITORY Centre-France Region of France
Data Source & Date
RIS3 2014-2020 Smart Specialisation Strategic Concept (S3 Platform) Regional Innovation Agency, Regional Government Centre-France (2012)
Profile
Area:
GDP: 65.2 billion € Growth rate: 0.4% Energy:
R&D: RIS ranking: EU 85th, France 8/22 Université de Lyon is at the apex of 11 higher education institutions
Population: 2,530,000 (ageing population) Unemployment: 6.3% Education: Poverty Rate: Key sectors: Economy driven by agriculture and industry Major cereal producing region Cosmetics / Pharma and Rubber
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TERRITORY Centre-France Region of France
Region is location of 2nd scientific cluster in France plus 10 others The SATI organisation facilitates spin-offs from scientific research
Graphic Arts, Computer and Electronics, Mechatronics Automotive industry and Defence Industry
Innovation Aims / Strategy
Key Challenges
The region lacks a sense of identity
Diversified economy without strong leadership.
Public sector University/Research – Private sector cooperation is weak
Too many subcontractors classified as low-tech
Maybe too many clusters Main opportunities for future regional development
RIS3 to be the baseline and the platform for selecting / developing areas of specialisation
Tourism and Agriculture, linking with ICT, Water management, Heritage and Agro-industry
Willingness of region to support projects related to innovation
Innovation Actions / Methodology
SWOT at all stages
Thematic workshops (x 20 entrepreneurs per event) to raise RIS3 awareness and increase private sector engagement
Promotion of the RIS3 4C criteria: Targeted Choice, Cooperation, Critical Mass, Competitive Advantage
Dedicated workshop to investigate other potential smart specialisation areas and flexibility mechanisms, with focus on ecosystem support and funding
Implementations structured on roadmaps with concrete action plans for each of the selected potential specialisation areas
Innovation Outcomes
Regional identity formulated, described and promoted throughout society
Regional assets for innovation identified, classified and measured
The regional innovation ecosystem defined and validated
Areas for smart specialisation identified, established and prioritised
Croatia
TERRITORY Croatia National Strategy
Data Source & Date
RIS3 2014-2020 Smart Specialisation Strategic Concept (S3 Platform) Directorate for Competitiveness & Investment of the Ministry of Economy (2014)
Profile
Area: 56,542 km2 GDP: 53.4 billion € PC 12,457 € Growth rate: 0.5% Energy: 12 clusters R&D: 0.75% of GDP 7 public universities, 3 private universities, 4 research institutions, 12 clusters, % firms actively innovating 45% = but both BERD & GERD are well below EU average (c.33% of R&D as % of GDP)
Population: 4,284,889 Unemployment: 17% (Youth 40%) Education: Upper Secondary & Tertiary 25-64 age group 82.9% Poverty Rate: 18% Key sectors: Telecommunication equipment, Medical equipment, Pharmaceuticals, Environ-mental technologies, Renewable Energy, IT equipment and services, Transportation, Tourism, Fisheries / Aquaculture
Innovation Aims / Strategy
Priority Thematic Areas
Health
Sustainable Energy and Environment
Engineering
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TERRITORY Croatia National Strategy Bio-Technology and Bio-Economy
Cross-cutting Themes
KETs:
Health: Industrial Bio & Nanotech, advanced manufacturing technologies
Energy & Environment: Advanced materials, Micro & Nano electronics, Photonics, AMT
Engineering: Advanced materials, Nano technologies, AMT
Bio-Technology/Bio-Economy: Industrial Bio-Technology, Nano Technology, AMT
ICT:
Health: E-Health, Robotics
Sustainable Energy & Environment: semi-conductor design, Robotics
Engineering: Automotive Embedded Systems, Video games, Robotics
Bio-Technology/Bio-Economy: Robotics
Tourism:
Health: Health Tourism
Sustainable Energy & Environment: Green Tourism
Engineering: ICT/Tourism, Transport solution/tourism
Bio-Technology/Bio-Economy Gastro and Eno Tourism
Creative & Cultural Industries (all thematic priorities)
Product design, branding, new media (marketing innovation), packaging etc
Green Growth
Health: not applicable
Other Priorities: Applicable
Societal Challenges
Health: Health, Demographic change, Wellbeing
Energy & Environment: Secure clean efficient energy, Climate Action, Resource efficiency
Engineering: Smart green integrated Transport, Secure societies, protecting freedom
Bio-Technology/Bio-Economy: Food security, Sustainable Agriculture, Forestry, Marine, Maritime and Inland water research
Innovation Actions / Methodology
Actions to enable change
Health – modernisation based on industrial and R&D capabilities
Health – diversification based on additional activities e.g. Medicare to elderly and disabled
Energy & Environment – modernisation and diversification of traditional products based on industrial and R&D capabilities
Energy & Environment – transition to sustainable and advanced engineering
Engineering – modernisation and diversification of traditional products based on industrial and R&D capabilities
Engineering – transition to sustainable and advanced engineering
Engineering – radical foundation of new domain of transport solution
Bio-Technology/Bio-Economy – modernisation and diversification of agro-food based on industrial and R&D capabilities
Bio-Technology/Bio-Economy – transition to sustainable chemistry
Pilot or Main Projects
Next Steps
Drafting of Governance and Monitoring Chapters and finalisation of RIS3 strategy
Public consultation
Presentation to European Commission
Definition and implementation of S3 tools in dialogue with stakeholders of the R&I system, companies and Local and Regional Governments
Lessons Learned
Stakeholders must feel engaged in the decision-making process otherwise consultations, workshops etc will have no added value
Weak innovation infrastructure is deterrent to business sector cooperation
Top-down approach creates barriers to effective implementation
Compendium of EU Innovation Good Practice
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East Sweden
TERRITORY East Sweden Region of Sweden
Data Source & Date
RIS3 2014-2020 Smart Specialisation Strategic Concept (S3 Platform) (2013)
Profile
Area: 10,562 km2 GDP: € Growth rate: Energy: R&D: 1 university, 4 key research institutes and technology transfer, green technology cluster, science centre and 2 science parks, printed electronics arena, open innovation platforms, living labs/testbed initiatives
Population: 430,000 Unemployment: Education: Poverty Rate: Key sectors:
Innovation Aims / Strategy
RIS3 OBJECTIVE: Sustainable Regional Growth 4 Strategic Pillars: Business Development, Innovation, Investment Promotion, Talent Attraction Management
Thematic Specialisation Areas
Logistics of Goods and Services: logistical processes including goods, people, material
Smart and secure Connected Products and Systems: systems of secure, internet-integrated communicating electronics and sensors. Innovative manufacturing and distribution methods e.g. printed electronics
Simulation and Visualisation: visualisation of complex data processes and interactions through virtual models
New Industrial Materials: novel materials, Graphene, Nano-engineered surface coatings for metals and plastics
Cross-cutting Specialisation Area
Sustainable and resource-efficient Business Development: green product development and business models, circular systems e.g. Waste Disposal, Energy
Innovation Actions / Methodology
Thematic focus groups of 5 – 10 members for each SS area. Participation emphasis on industry, complemented by academia and intermediaries. 3 – 4 workshops per group. Output – strategy and action plan as well as proposals for policy instruments
KPIs include: Increases in No of Enterprises, No of New Enterprises, Employment, Value Added and No of investments
Lessons Learned
Private commitment and contribution is crucial to success. Private involvement is needed to create sufficient impact on projects
Focus groups in general work well, but allowances have to be made for differences in the level of progress, depending on the theme.
Research-based knowledge can be very strong relevant to innovation and it is important to maximise its utilisation
Technology development initiatives generally need more time than originally estimated which can cause problems from a regional policy point of view
Estonia
TERRITORY Estonia National Strategy
Data Source & Date
RIS3 2014-2020 Smart Specialisation Strategic Concept (S3 Platform)
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TERRITORY Estonia National Strategy
Ministry of Economic Affairs & Communications, and Ministry of Education & Research lead on RIS3. Estonian Development Fund acts as Secretariat (2014)
Profile
Area:
GDP: 19.5 billion € PC 14,860 € (2014) Growth rate: 2.1% Energy: R&D: 3 universities, 2.4% of GDP
Population: 1,320,000 Unemployment: 7.4% Education: Tertiary, age group 30-34 39.2% Poverty Rate: 17.5% (2010) Key sectors: Manufacturing (16%), Services (12.7%), Construction (7.1%), ICT (5%), Agriculture (3.7%), Energy (3.5%)
Innovation Aims / Strategy
3 National Priority Areas in terms of research, innovation and development ICT
Create more of our own products i.e. scalable businesses with high added value Position Estonia as a Testbed Platform
Healthcare Full potential for E-Health not yet reached. Position Estonia as a Testbed Platform for international solutions Synchronise information system of large hospitals Increase the engagement and involvement of the private sector Export E-Health services – promote healthcare tourism Boost funding for Biotechnology research and product development
Resources Innovative Construction – IT solutions, alternative materials, smart energy solutions Nanotechnology – build on the research of the Nanotechnology Competence Centre Chemical Industry – build on the research of the Oil Shale Competence Centre Health Foods – focus on foods that support health and build on the research of the Bio-Competence Centre of Healthy Dairy Products
Innovation Actions / Methodology
S3 Budget Both Ministries (MEAC and MEAR) will direct EU funding towards the selected growth areas. But other policy instruments will also indirectly contribute to the growth areas
Policy Instruments MEAC: Funding for Demand-side policies. Funding for collaboration networks (competence centres and clusters). Funding for start-ups through Start-Up Estonia. MEAR: Funding for Applied Research programme (including growth area specific activities such as the IT Academy). Funding for Speciality Scholarships
Pilot or Main Projects
Mechanisms. The goals and indicators for RIS3 are being developed
Indicators: The three growth areas are very different as economic sectors and have different bottlenecks. Key challenge is to find suitable indicators for each growth area
Follow-up: The evaluation of the RIS3 goals will be carried out by the Estonian Smart Specialisation Steering Committee on an annual basis
Lessons Learned
2014 will be a very important year in terms of RIS3. The managing structure and the detailed measures must be implemented.
The small size of Estonia has facilitated the integration of the R&D and innovation infrastructure and favoured the collaboration with the business sector in undertaking applied research projects. How can such a dynamic resource be converted into international opportunity?
Friesland
TERRITORY Friesland Region of the Netherland (Province of Friesland)
Data Source & Date
RIS3 2014-2020 Smart Specialisation Strategic Concept (S3 Platform) Government of the Province of Friesland (2012)
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TERRITORY Friesland Region of the Netherland (Province of Friesland)
Profile
Area: 2,960 km2 (8% of total NL) GDP: 17.2 billion € PC 29,100 € Growth rate: 2.0% Energy: R&D: 1.01% GDP No research university but 3 colleges of applied science (includes EU’s most advanced drinking water lab) are networked with living labs and incu-bators form innovation infrastructure Water technology is main research area (within framework of Dutch innovation programme on WT)
Population: 630,000 55% live in rural areas) Unemployment: 10.9% Education: Higher Ed. 30,000 students Poverty Rate: Key sectors: Health & Welfare (17%) Industry & mineral extraction (15%) Trade & Repairs (14%) Water is a major technology industry e.g. water & gas purification, waste water treatment Sustainable energy Tourism
Friesland – Living Lab Region. Integral regional development through:
o Development of a Conscious Society o Using Culture and Creativity o Talent development; and o Societal Digitisation
Innovation Aims / Strategy
The integral vision is for a region that is operational as a Living Lab for conscious regional development based on efficient use of all natural resources, such as Clean Water, Nutrients, Biomass and Energy but also driven by the Cultural Energy of Human Capital.
Living Lab programmes are implemented in society according to the following rules
Create an innovation space and process
Listen to all stakeholders and find out together what really matters
Create regional innovation agendas (policy tool)
Install regional living labs throughout region, not only in one location (scientific tool)
Apply a clear ownership pyramid (governance tool)
Apply a reflective “monitoring and evaluation” methodology (feedback tool)
Consciousness of Culture
Culture points to and reflects the pattern of human activities and the symbolic structures that make them meaningful
Conscious individuals take control of their life and personal development. The more conscious, the more self-control.
Innovation Actions / Methodology
Future orientation of S3-RIS3 process
Implementation
Regional Living Labs
Regional Smart Specialisation
Regional Digital Agenda Friesland
Hot-spots valorisation programme
Bio-based society (on a regional scale)
Flexibility towards emerging challenges created by shared holistic responsibility for all partners’ cooperation
Monitoring mechanisms benchmarked on EU partnerships and projects together with international knowledge institutes are the basis for evaluation and comparison
Lessons Learned
Next Steps
S3 is implemented on short term by participating in EU Calls together with our Vanguard partner regions with whom there is a joint Smart Specialisation Agreement
Comparable regional development agendas of EU partner regions will inform the development of a medium-term regional innovation strategy for smart specialisation
Compendium of EU Innovation Good Practice
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Languedoc-Roussillon
TERRITORY Languedoc-Roussillon Region of France
Data Source & Date
RIS3 2014-2020 Smart Specialisation Strategic Concept (S3 Platform) L-R Regional Administration for RIS3 (2013)
Profile
Area: 27,380km2
GDP: € pc 75% of EU 27 average Growth rate: Energy: R&D: 3% of GDP. 5 universities, 10 research institutes. Higher % of innovative companies than national and EU rates
Population: 2.7 million. Highest growth rate in France Unemployment: Education: Poverty Rate: Key sectors: Services (48%), Trade & Repairs (28%), Construction (14%), Industry (10%), Major wine region, Cultural tourism
Innovation Aims / Strategy
Vision: High research activity to achieve economic transformation (territory adapted to the new economy) 5 stage strategy: Governance – Identification and Mapping – Entrepreneurial Discovery – Prioritisation – Policy mix Process
Innovation Actions / Methodology
Establish Steering Committee – Technical Committee – Regional Innovation Agency = Dedicated Project Team
10 criteria for innovation actions choices:
Economic impact on region
Innovations and commercial applications
National/ International market target in 5 – 7 years
Economic transformation of the activity / domain in 5 – 7 years
Creating a common vision among the partners
Activity across several sectors
Change for leadership in Europe in 5 – 7 years
Need for public funds
Differentiation
Pilot or Main Projects
SWOT analysis to identify pilots
Pilot to determine role of ICT in regional strategic policy framework for digital growth
ICT as a means rather than and end i.e. no large ICT companies
KET to support traditional and emerging sectors
Source of added value at the crossroads of economic activities
Latvia
TERRITORY Latvia National Strategy
Data Source & Date
RIS3 2014-2020 Smart Specialisation Strategic Concept (S3 Platform) Ministry of Education and Science (2014)
Profile
Area: 64,590 km2 GDP: 24.06 billion € (2014) Growth rate: 4.1% Energy: R&D: Private sector investment 25% (2012)
Population: 2,001,468 Unemployment: 10.9% Education: Highest in 30-34 age group 36% Poverty Rate: Key sectors:
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TERRITORY Latvia National Strategy
Scientists and researchers 5593 (2012) Number of patents 11 (2011) % of innovative companies 30% (2010)
Services (25.3%), Industry (16.4%), Public Administration, Defence, Education, Health (15.1%) (2014) High/Medium Tech % exports 23.8% (2012)
Innovation Aims / Strategy
RIS3 goal is economic transformation towards higher added value, productivity and more effective usage of resources.
Key Strategic Pillars
Building innovation and human capacity for solving innovation challenges as the arise
Analysis of regional assets and innovation potential assessment based on hard data
Selection of priorities based on analysis, stakeholder consultation and consensus
Innovation Actions / Methodology
Directions
Structural changes in manufacturing and exporting in tradition economic sectors
Future growth sectors – products and services with high added value
Sectors with significant horizontal impact on economic transformation
Priorities
Products with high added value
Productive innovation system
Energy efficiency
Advanced ICT
Advanced education system
Knowledge base and Human Capital
Polycentric development
Specialisation Areas
Knowledge intensive Bio-economy
Bio-medicine, Medical technologies, Bio-pharmacy, Bio-technology
Smart materials, technology and engineering
Smart Energy
ICT
Innovation Outcomes
Measures of RIS3 Success (Indicators)
Investment in R&D will be 1.5% of GDP by 2020
High/Medium Tech exports as % of total: 31% by 2020
Private Sector investment in R&D will be 48% by 2020
Number of scientists and researchers will be 7000 by 2020
People with highest education in 30-34 age group will be 40% by 2020
Number of patents (EPO) will be 50 by 2020
% of innovative companies will be 40% by 2020
Lessons Learned
Prevalent business model of Latvian companies is not oriented towards innovation but is indiscriminately exploiting cheap labour and natural resources
Cooperation between industry and science is weak
The current education system does not match the demand and supply of labour in STEM sector
Lower Austria
TERRITORY Lower Austria Region of Austria
Data Source & Date
RIS3 2014-2020 Smart Specialisation Concept (S3 Platform) Department for Economy, Tourism & Technology, Government of Lower Austria (2014)
Profile Area: 19,178 km2 Population: 1,618,000 (2013)
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TERRITORY Lower Austria Region of Austria
GDP: 49.6 billion € Growth rate: 0.4% (2012) Energy: R&D: 1.53% of GDP (759 M€) (2012) 4 Innovation & Technology Centres 5 innovation-related Cluster initiatives Regionally diffused Innovation culture
Unemployment: 7.1% Education: Poverty Rate: Key sectors:
Clusters
Smart Specialisation through Clusters
Green Building Cluster: energy efficient construction, healthy interior environments
Food Cluster: food safety, regional and bio-products
Plastics Cluster: bio-plastics
Mechatronics Cluster: energy efficiency in production processes
Logistics Cluster: model split, bundling (empty runs)
Innovation Aims / Strategy
Vision: Establish LA as a benchmark for EU “Top” Innovation Regions
Create a unique selling proposition (USP), no duplication of other regions
Collaborate with neighbour regions
Create critical mass in R&D and Innovation in niche technologies
Facilitate innovation in rural areas and foster innovation capacity
Innovation Actions / Methodology
For Technology & Innovation Partnerships
Local contact point with proactive approach to mobilising innovation potential regardless of sector
Coaching of Firms and R&D projects
Technology screening, patenting and licencing support
Award for innovation, matching needs of enterprises For Clusters
Contacts between business and academia
Trend scouting
Competence mapping
Focussed topics
Linked activities
Regional value added
Specialisation
Measured in BSC For Technopols (Innovation & Technology Centres)
Strengthen regional assets and develop regional potential
Create critical mass in a selective way on specific spots
Involvement of all relevant regional actors and stakeholders (Triple Helix)
Innovation Outcomes
BSC as planning, monitoring and evaluation tool well established and accepted within network
No strict top-down specifications regarding priorities
Overall strategy as basic framework. No priorities included, priority development on programme level, continuous reviews and adaption through BSC monitoring
Lessons Learned
What worked
Good cooperation between programmes
One BSC review for all clusters
Process of bottom-up development
Accepted as the one official strategy (budget allocations linked to this)
Both Minister and operation level kept well informed
What did not work
At the beginning, cooperation between programmes
At the beginning, a lot of scepticism
Time frame, took very long to introduce it
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TERRITORY Lower Austria Region of Austria Monitoring through BSC provides
sound basis for making changes
Lubelskie
TERRITORY Lubelskie Voivodeship Region of Poland
Data Source & Date
RIS3 2014-2020 Smart Specialisation Strategic Concept (S3 Platform) (2013) Department of Economy and Innovation, Marshal Office of Lubelskie Voivodeship
Profile
Area: 25,160 km2 GDP: 13.5 billion € PC 10,300 € Growth rate: Energy: R&D: 5 Universities, 10 research institutes, 3 science & technology parks
Population: 2,180,000 Unemployment: 14.4% Education: 18 tertiary education institutes Poverty Rate: 31.3% Key sectors: Bio-economy, Health and Wellness, IT, Control Engineering, Low carbon Emission
Innovation Aims / Strategy
Vision: Lubelskie as a cooperative region specialising in modern business within bio-med-info and low carbon emission energy sectors
Main Objective and Priorities
General Objective: Development of chosen sectors (as per Key sectors)
Priority 1: Increase ability of business entities to create or absorb and to implement innovations in the areas of smart regional specialisation
Priority 2: Increase ability of B+R entities to create and commercialise knowledge in the areas of smart regional specialisation
Priority 3: Strengthen the innovation environment, working towards the development of areas of smart regional specialisation
Innovation Actions / Methodology
Choice of specialisation is based on shared resources. Close inter-sectoral cooperation between entities operating in the identified fields of economy and science is an essential
Diagnosis comprised studies on the position and competitiveness of the region in Poland and Europe, using data from sources such as
Regional Innovation Scoreboard 2009 and 2012
OECD and World Bank
PARP the Polish Agency for Enterprise Development
GUS Central Statistical; Office in Poland
Own analyses
Pilot or Main Projects
Planned Pilot Projects
Smart Incubation: Inter-collegiate program of incubation and development of innovative companies
Smart Services: Pro-innovative system to meet innovative needs of enterprises
Smart Researchers: Intercollegiate program to support young researchers conducting commercial research in areas of smart specialisation
Smart Research Areas: Development and promotion of a regional inter-disciplinary research program in the areas of bio-md-info for smart specialisation
Lessons Learned
The Quadruple Helix approach fits well with RIS3 implementation
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Marche
TERRITORY Marche Region of Italy
Data Source & Date
RIS3 2014-2020 Smart Specialisation Concept (S3 Platform) Marche Regional Council (2012)
Profile
Area: 9,694 km2 GDP: 26,166 € pc (2007) Growth rate: 18.2% (2008) Energy: R&D: 4 universities, 3 technology research centres, 1 science and technology park (KET focus)
Population: 1,569,578 Unemployment: 6.4% Education: Tertiary 25-64 age group 15.2% Poverty Rate: Key sectors: SMEs
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TERRITORY Mazovia Region of Poland
Office of the Marshal of the Mazowieckie Voivodship in Warsaw; Mazovia Innovation Council (Advisory Board); Management Board of MV and the Regional Council (Management Board) (2013)
Profile
Area: 35,558 km2 (11.4% of Poland GDP: 14,275 € pc Growth rate: Energy: R&D: Universities 19 public, 91 private 45 clusters (mostly early stage)
Population: 528,600 (13.7% of Poland) Unemployment: 10.7% Education: Secondary & Tertiary 44% of pop Poverty Rate: Key sectors: Industry, Agriculture, Construction, Services
Innovation Aims / Strategy
Main Goal:Increased innovation potential, leading to accelerated growth and increased competitiveness of Mazovia
Strategic Goal 1: Increased and strengthened cooperation in innovation and innovativeness development
Strategic Goal 2: increased internationalisation aiming at innovativeness of region
Strategic Goal 3: increased efficiency of support and financial support to pro-innovative initiatives in the region
Strategic Goal 4: shaping and promoting pro-innovative and pro-entrepreneurial attitudes fostering cooperation and creativity
Strategic Goal 5: strengthening of the Information Society as the key driver of innovation
Innovation Actions / Methodology
Adopting Smart Specialisation
Evidence base for RIS3 compiled from a set of 4 SWOT analyses: Academic Potential, Economic Potential, Social Potential and the General characteristics of the region in relation to the promotion of innovation
Identification Process (1) Feedback (analyses, reports, statistical data), desk research (2) Diagnosis – initial selection of leading sectors (3) First round of consultation meetings (4) Modification of the list of leading economic sectors. Feedback (5) Feedback analysis (6) Narrow down list. Identify cross-sectoral connections. Link with KETs and support
processes (7) Established of priority economic areas – hubs representing SS areas of the region (8) Second round of consultation meetings. One-to-one and Open meetings (9) Feedback analysis. Further specification of smart specialisation areas
Innovation Outcomes
Provisional identification of smart specialisation areas
Safe Food
Intelligent Management Systems
Modern Services for Business
High Quality of Life
Lessons Learned
Be Prepared for Problems likely to be encountered
Centre- Periphery conflict
How to specialise without one easily identifiable leading area/sector
How to involve stakeholders in the process, especially SMEs
How to address low levels of social capital and trust
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Moravia-Silesia
TERRITORY Moravia-Silesia Region of the Czech Republic
Data Source & Date
RIS3 2014-2020 Smart Specialisation Strategic Concept (S3 Platform) Elaboration on basis of Regional Innovation Strategy 2010-2020 and CR National RIS3 Regional Development Agency 2013
Profile
Area: 256,653km2 (2014) GDP: € pc 71% of EU 28 Growth rate: Energy: R&D: 5 universities
Population: 1,221,832 (2013) Unemployment: 10.3% (2014) Education: 9.977 graduates in 2014 (25%) Poverty Rate: Key sectors: Services (58%), Industry (40%), Agriculture (2%)
Innovation Aims / Strategy
Vision: M-S will be a progressive innovative region utilising existing know-how for tackling new challenges. By 2020 will belong to 25 most innovative regions of EU.
Global Objective: Improve regional economic competitiveness in global markets
Horizontal Priorities: Technology Transfer, Human Resources, Internationalisation, Coordination and implementation on strategy.
Vertical Priorities: Engineering, Metallurgy, Energy, Automotive, Biotechnology, IT and digital engineering
Innovation Actions / Methodology
2 years action plans
Specific development projects
Tools designed to implement RIS3 strategy e.g. innovation vouchers, brokerage events, support for clusters, innovation management training, technology foresight etc
Identified sources of finance e.g. regional and national budget, structural funds, other EU innovation-related instruments (Horizon 2020, Eureka, COSME)
Pilot or Main Projects
To be identified
Innovation Outcomes
Universities and companies actively participating and cooperating
Spin-offs / new start-ups at the rate of 2 RIS3 companies per year
Nordland
TERRITORY Nordland Region of Norway
Data Source & Date
RIS3 2014-2020 Smart Specialisation Strategic Concept (S3 Platform) Director Economic Development Nordland County Council (2013)
Profile
Area: 36,090 km2 (11.8% of Norway) Located north of the Arctic Circle GDP: € Growth rate: Energy: R&D: 1 university, 2 university colleges, business parks and incubators RIS3 development involved 600+ stakeholders
Population: 240,000 (4.75% of total) Unemployment: Education: Poverty Rate: Key sectors: Largest producer of Atlantic salmon and trout; Second largest producer of hydro-electric power; Non-renewable resources include Oil, Gas, Minerals and Metals. SME
Compendium of EU Innovation Good Practice
30
TERRITORY Nordland Region of Norway
Innovation Aims / Strategy
Vision – Sustainable Growth through Innovation Main objectives and strategy of RIS3
Build a more sustainable and competitive regional innovation system and improve R&D capacity based on the needs of the business community
Enhance the cooperation between R&D institutions and companies
Focus on Cluster development in 3 industries – Process, Marine and Experienced-based Tourism.
Develop a strategic policy framework specifically for digital growth in the region but prioritising access to Broadband for all households.
Innovation Actions / Methodology
Action Plans on 3 levels
Structural level concerning the development of measures to build the regional innovation system and regional R&D capacity
Industrial sector level on development of various initiatives within companies
Educational level for development of educational capacity at upper secondary grades in cooperation with industry
Derived methodology of RIS3 objectives
Develop strategic tool to target and prioritise efforts within regional development and innovation
Build a Dialogue Arena for key Triple Helix stakeholders resulting in a continuous and learning and discovery process
Participate in and/or promote an international network of highly qualified actors who will act as objective observers of the region and provide input on our innovation strategy
Piedmont
TERRITORY Piedmont Region of Italy
Data Source & Date
RS3 2014-2020 Smart Specialisation Concept (S3 Platform) Research and Innovation Directorate of Piedmont Regional Government (2013)
Profile
Area: 25,319 km2 GDP: 126.8 billion € Growth rate: Energy: R&D: 1.82% GDP expenditure Consolidated research and innovation system comprising 4 universities, 6 science & technology parks, 12 innovation clusters, technological ICT District. Patents registered: 137/mn population
Population: 4,440,000 Unemployment: Education: Poverty Rate: Key sectors:
Clusters 12 Innovation Clusters Agro-food
Biotechnology and a Biomedical Engineering
Sustainable Chemistry
New Materials
Digital Creativity and Multimedia
Sustainable Architecture and Hydrogen
Renewable Energy and Biofuels
Fittings, systems and Components for Renewable Energies
Renewable Energies and Micro-Hydro
Compendium of EU Innovation Good Practice
31
TERRITORY Piedmont Region of Italy ICT
Mechatronics and Advanced Production Systems
Textiles
Innovation Aims / Strategy
Vision: To make Tradition an innovative asset for the region Digital Growth Priorities (explicitly designed within RIS3)
RIS3 will include specific chapter devoted to digital growth strategy for the region
Innovation Actions / Methodology
Digital Agenda (DA) defined through a consultation process (periodical consultations)
DA is conceived as a Living Strategy (and document) for 2014-2020
DA Launch campaign – collect and analyse citizens’ feedback via social media
SWOT to assess what is needed to reinforce ICT capacity building
Indicators and sources defined to measure progress of interventions in the fields of digital literacy, e-participation, broadband, as well as online efficiency of public administration
Lessons Learned
Already in place – mapping of areas specialisation and coordination at national level
Intention to reinforce the learning/peer review dimension with other regions
Support is still needed in areas of weakness:
Entrepreneurial dynamics
International economic positioning (internationalisation
Monitoring and evaluation system
Level of awareness is generally good and is supported by the national Ministry, the Regional administration units and by the business and academic communities
Pomorskie
TERRITORY Pomorskie Voivodeship Region of Poland
Data Source & Date
RIS3 2014-2020 Smart Specialisation Concept (S3 Platform
Profile
Area: 18,300 km2 (5.9% of Poland) GDP: 19.49 billion € (2012) PC 7900 € Growth rate: 1.9% (2012) Energy: R&D: 0.61% of GDP Universities – 9 Public, 19 Private 23 R&D institutions, 4 STI parks, 19 clusters, 12 business incubators. Innovative firms – 4.8% of all firms
Population: 2,230,000 (5.9% Poland) Unemployment: 12.5% Education: Poverty Rate: Key sectors: Those with greatest growth potential – ICT, Logistics, Pharmaceuticals, Cosmetics, Energy, Bio-technology, Baltic Ports and Maritime, Creative industry, Automotive
Innovation Aims / Strategy
The aim is Smart Diversification rather than smart specialisation
Support for sectors with greatest potential for technology/non-technology development
Focus on innovation, supporting innovative approaches to boost business
Diffusion of new technology (e.g. Smart grid) and social solutions (e.g. in education(
Enhancement of digital competence of residents, businesses and institutions
Innovation Actions / Methodology
Approach to implementation includes actions/activities that target