European Innovation Policy Concepts and the Governance of Innovation

2016 ◽  
Vol 30 (1) ◽  
pp. 53-66 ◽  
Author(s):  
Christiane Gebhardt ◽  
Peter Stanovnik
Keyword(s):  
Impact Analysis ◽  
Innovation Policy ◽  
National Level ◽  
Transition Process ◽  
Innovation Systems ◽  
Regional Innovation Systems ◽  
Regional Innovation ◽  
Complex Projects ◽  
Smart Specialization ◽  
High Level

This paper examines the interdependency of European Policy and governance of innovation. The authors elaborate on the policy implementation context of Slovenia, a small and less advanced European member state in a transition process. The literature on innovation policy, governance and existing innovation concepts aiming to accelerate economic development, European integration and growth is reviewed and integrated. Within this framework, the authors then review the capability and capacity of the Slovenian national government to channel European funding and organize complex projects, such as the enabling, advancement and integration of regional innovation systems as a key concept of regional innovation strategy and smart specialization (RISS). They discuss the governance of innovation in the research tradition of neo-institutionalism and policy impact analysis related to problems of national and regional innovation systems. The paper outlines the importance of organizational readiness at the national level for the translation of high-level concepts, effective policies and efficient strategy implementation.

scholarly journals Identification of Czech Metropolitan Regions: How to improve targeting of innovation policy

2016 ◽  
Vol 62 (1) ◽  
pp. 46-55
Author(s):  
Viktorie Klímová ◽  
Vladimír Žítek
Keyword(s):  
Cluster Analysis ◽  
Innovation Policy ◽  
Analytical Framework ◽  
Innovation Systems ◽  
Capital City ◽  
Regional Innovation Systems ◽  
Patent Activity ◽  
Regional Innovation ◽  
Metropolitan Regions ◽  
High Level

Abstract Concepts of national and regional innovation systems can serve as an analytical framework forming the empirical base for innovation policy creation. It is possible to distinguish various types of these systems. One of these typologies is based on the assessment of innovation deficiencies. There are three types of regions: metropolitan, peripheral, and old industrial. Metropolitan regions can be characterized by a high level of research, innovation, and patent activity. The aims of this paper are to find relevant indicators that can be used as the basis for defining metropolitan regional innovation systems and using them for the identification of Czech metropolitan regions. The results of the point method combined with the cluster analysis showed that the capital city, Prague, as well as the South Moravian, Pardubice, Central Bohemian, Pilsen, and Liberec Regions can be defined as metropolitan regions.

scholarly journals Regional Innovation Systems in Poland: How to classify them?

2021 ◽  
Vol 17 (3) ◽  
pp. 987-1003
Author(s):  
Dorota Ciołek ◽  
Anna Golejewska ◽  
Adriana Zabłocka-Abi Yaghi
Keyword(s):  
Innovation Policy ◽  
Innovation System ◽  
Weighted Average ◽  
Innovation Systems ◽  
Regional Innovation Systems ◽  
Regional Innovation ◽  
Metropolitan Regions ◽  
Industrial Enterprises ◽  
Innovation Potential ◽  
And Performance

The literature emphasises the role of regional and local innovation environment. Regional Innovation Systems show differences in innovation outputs determined by different inputs. Understanding these relationships can have important implications for regional and innovation policy. The research aims to classify Regional Innovation Systems in Poland according to their innovation capacity and performance. The analysis covers 72 subregions (classified as NUTS 3 in the Nomenclature of Territorial Units for Statistics) in 2004–2016. Classes of Regional Innovation Systems in Poland were identified based on a combination of linear and functional approaches and data from published and unpublished sources. It was assumed that innovation systems in Poland differ due to their location in metropolitan and non-metropolitan regions, thus, the Eurostat NUTS 3 metro/non-metro typology was applied for this purpose. Panel data regressions as models with individual random effects were estimated separately for metropolitan and non-metropolitan groups of subregions. The study identified common determinants of innovation outputs in both NUTS 3 types: share of innovative industrial enterprises, industry share, unemployment rate, and employment in research and development. Next, NUTS 3 were classified within each of two analysed types in line with output- and input-indices, the latter being calculated as non-weighted average of significant inputs. Last, the subregions were clustered based on individual inputs to enable a more detailed assessment of their innovation potential. The cluster analysis using k-means method with maximum cluster distance was applied. The results showed that the composition of the classes identified within metropolitan and non-metropolitan systems in 2004– 2016 remains unstable, similarly to the composition of clusters identified by inputs. The latter confirms the changes in components of the capacity within both Regional Innovation System types. The observed situation allows us to assume that Regional Innovation Systems in Poland are evolving. In further research, the efficiency of Regional Innovation Systems should be assessed, taking into account the differences between metropolitan and non-metropolitan regions as well as other environmental factors that may determine the efficiency of innovative processes.

Regional Innovation Systems: Finland’s Experience

2012 ◽  
pp. 51-63
Author(s):  
V. Pchelintsev
Keyword(s):  
Systems Approach ◽  
Innovation Policy ◽  
Regional Scale ◽  
Innovation System ◽  
Policy Instruments ◽  
Innovation Systems ◽  
Regional Innovation Systems ◽  
Regional Innovation ◽  
Non Local ◽  
Innovation Policies

The paper examines governmental strategies, main actors and instruments of innovation policies shaping innovation-driven economy in Finland, with particular attention to the regional scale. The analysis focuses on how the regional innovation systems approach became a framework for the design of innovation policies. An innovation system involves cooperation between firms and knowledge creating and diffusing organizations, – such as universities, colleges, training organizations, R&D-institutes, technology transfer agencies. Innovations are considered as interactive learning process. Cooperation and interaction between regional/local and national/international actors is necessary to combine both local and non-local knowledge, skills and competences. The key elements of the policy environment, as well as implementation of the main regional innovation policy instruments – the Centers of Expertise Programme and Regional Centre Programme – are described.

scholarly journals Public Private Partnerships as a Systemic Instrument of Governance in Regional Innovation Policy

2016 ◽  
Vol 14 (1) ◽  
pp. 37-54 ◽  
Author(s):  
Iryna Kristensen ◽  
Walter Scherrer
Keyword(s):  
Innovation Policy ◽  
Innovation Systems ◽  
Public Private Partnerships ◽  
Regional Innovation Systems ◽  
Regional Innovation ◽  
Regional Innovation Policy ◽  
Regional Authorities ◽  
Better Than

We discuss which systemic functions can be implemented in regional innovation systems by using public private partnerships (PPP) as a vehicle of governance in innovation policy. We analyze PPPs in the field of regional innovation policy in which Swedish municipalities and regional authorities have been involved. We find that such PPPs are able to address knowledge related systemic goals of regional innovation policy more comprehensively than entrepreneurial goals; that PPPs tend to address the quantitative dimensions of systemic goals of regional innovation policy better than qualitative dimensions; and that there is considerable variation how PPPs address innovation-related goals across types of regions and industries involved.

scholarly journals REGIONAL SMART SPECIALIZATION: MICROBUSINESS IMPACT

2020 ◽  
Vol 6 (5) ◽  
pp. 209-215
Author(s):  
Yevheniia Polishchuk ◽  
Alla Ivashchenko ◽  
Anna Kornyliuk
Keyword(s):  
Innovation Policy ◽  
Local Economy ◽  
Regional Innovation ◽  
Joint Research ◽  
Economies In Transition ◽  
Qualitative Survey ◽  
Key Stakeholders ◽  
Limited Application ◽  
Smart Specialization ◽  
High Level

SMART specialization is a basic approach to the development of regional innovation policy. It involves identifying priority sectors of the local economy with the involvement of key stakeholders. Currently, statistics on the development of regions are presented in terms of large business, small and medium. In this context, the generally accepted methodology from the Joint Research Center of the European Commission has limited application. Because it does not take into account the performance of microbusiness (individual entrepreneurs). For countries with economies in transition, this is critical, as they reach 80% of the business structure. Therefore, considering their voice is also necessary. Our approach involves a combination of quantitative (assessment of innovation and economic potential of the region) and qualitative (survey of microbusiness representatives) methods to identify priority areas of SMART specialization. Approbation of the offered method was carried out on the example of the Mykolaiv region which is in the south of Ukraine. The results of the study have shown that the innovation of microenterprises is at a low level. At the same time, they demonstrate a high level of desire to be involved in the process of SMART specialization and innovation of production.

scholarly journals In pursuit of an innovation development trajectory of the Kaliningrad region

Baltic Region ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 92-106
Author(s):  
Anna A. Mikhaylova
Keyword(s):  
Life Cycle ◽  
Innovation Policy ◽  
National Policy ◽  
Innovation System ◽  
Innovation Systems ◽  
Soviet Period ◽  
Regional Innovation Systems ◽  
Regional Innovation ◽  
Kaliningrad Region ◽  
Framework Conditions

Amid growing inter-state competition, national innovation policies are increasingly seeking to promote the development of regional innovation systems to intensify innovative processes and to enhance the economic competitiveness of territories. An efficient regional innovation policy requires a territorial adaptive approach to the development of mechanisms for innovating socio-spatial systems. These mechanisms should take into account the specific features and inalienable resources of territories. Whereas regional innovation systems are becoming increasingly acknowledged in public administration as versatile, the stage of a system life cycle, which is an equally important factor, often escapes managerial attention. In this article, I analyse the innovation system of the Kaliningrad region at its inception. The Kaliningrad case is of considerable interest for a study into the patterns and characteristics of the governance of innovation systems — a management paradigm aimed to promote regional development during a change in their functioning mode. In this work, I analyse the current structure of the Kaliningrad regional innovation system, of which some elements date back to the Soviet period, paying particular attention to the subsequent change in the framework conditions. I show that a new innovation trajectory requires taking into account the economic and geographical position of the region, its level of socio-economic development and economic specialization. My findings could contribute to both improving the national policy on managing innovation processes in Russian regions and developing the concept of regional innovation systems as regards research into their life cycle stages.

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