The role of regional innovation systems in mission-oriented innovation policy: exploring the problem-solution space in electrification of maritime transport

2021 ◽  
pp. 1-22
Author(s):  
Markus M. Bugge ◽  
Allan Dahl Andersen ◽  
Markus Steen
Keyword(s):  
Innovation Policy ◽  
Solution Space ◽  
Innovation Systems ◽  
Problem Solution ◽  
Maritime Transport ◽  
Regional Innovation Systems ◽  
Regional Innovation

scholarly journals The Role of Regional Innovation Systems (RIS) in Translating R&D Investments into Economic and Employment Growth

2015 ◽  
Vol 10 (2) ◽  
pp. 9-23 ◽  
Author(s):  
Ricardo Moutinho ◽  
Manuel Au-Yong-Oliveira ◽  
Arnaldo Coelho ◽  
José Pires Manso
Keyword(s):  
Employment Growth ◽  
Innovation Systems ◽  
Regional Innovation Systems ◽  
Regional Innovation

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in Poland were identified based on a combination of linear and functional approaches and data from published and unpublished sources.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.

The role of social capital in regional innovation systems: Creative social capital and its institutionalization process

2017 ◽  
Vol 98 (1) ◽  
pp. 35-51 ◽  
Author(s):  
Cristina Aragón Amonarriz ◽  
Cristina Iturrioz ◽  
Lorea Narvaiza ◽  
Mario Davide Parrilli
Keyword(s):  
Social Capital ◽  
Innovation Systems ◽  
Regional Innovation Systems ◽  
Regional Innovation
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