Regional Innovation Ecosystems: Tuning the Regional Engine’s Helix Through Smart Specialization

Author(s):  
João Lopes ◽  
João J. Ferreira ◽  
Márcio Oliveira ◽  
Luís Farinha ◽  
José Oliveira
Economies ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 48 ◽  
Author(s):  
Mona Roman ◽  
Henry Varga ◽  
Vladimir Cvijanovic ◽  
Alasdair Reid

Prior research has emphasized the importance of bringing together quadruple helix (QH) actors (academia, industry, government and civil society) to strengthen regional innovation. The QH model forms an integral part of European innovation policy, which aims to create sustainable and inclusive growth in Europe. As part of this policy, European Union (EU) regions are to design and implement research and innovation strategies for smart specialization (RIS3) through the participatory entrepreneurial discovery process (EDP). Despite the strong emphasis on the QH model, the model is still far from a well-established concept in innovation research and policy, and civil society participation in RIS3 has remained low. Our paper aims to support regional governments to engage with and facilitate the participation of civil society in a territorial EDP based on two case studies from Finland and Sweden. It contributes to the literature on regional innovation systems through identifying mechanisms to foster the QH model and suggests lessons learnt for the operationalization of the QH model as part of RIS3.


2021 ◽  
Vol 3 (518) ◽  
pp. 29-37
Author(s):  
N. V. Shvets ◽  

The article is aimed at analyzing and systematizing the approaches to determining the smart priorities of the regions of the European Union, which are leaders in innovative development, to develop recommendations for improving the process of formation of regional strategies for smart specialization in Ukraine. Smart priorities of the top 10 innovatively active regions of the EU according to the Regional Innovation Board were studied using the information provided by the European platform for smart specialization. Certain methodological problems and limitations for the analysis of regional smart specializations related to certain changes in the NUTS classification and different periods of adoption of regional strategies are identified. It is noted that smart priorities in many regions are based on the innovative development of traditional types of economic activity. It is displayed that the processing industry is most involved in the formation of regional smart specializations, also widely involved are the sectors of scientific-technical activities, information and telecommunications, transportation, and education. It is defined that a large proportion of priorities are of complex nature. This is connected with the cross-sectoral cooperation, as well as the use of horizontal-type instruments (digitalization, increasing the value of knowledge, spread of advanced technologies, focusing on the Sustainable Development Goals, social innovations). It is emphasized that the leading regions most often choose digital transformation, sustainable innovations and KETs for the goals of their smart specialization policies. The strategy of smart specialization of the Western Netherlands, which is the result of the collaboration of a number of research institutions, public and private companies and local authorities, is considered. It is concluded that when determining the priorities of Ukrainian regions, it is necessary to focus on the fore-mentioned EU goals and deepen the analysis of scientific-technological specializations of territories, as well as to formalize the role of science and education in regional strategies of smart specialization.


2020 ◽  
Vol 18 (4) ◽  
pp. 247-263
Author(s):  
Alla Ivashchenko ◽  
Anna Kornyliuk ◽  
Yevheniia Polishchuk ◽  
Tetiana Romanchenko ◽  
Iryna Reshetnikova

Regional development is related to the effective management of disruptive industries on the local level. In the European Union, the innovation regional development policy is based on a smart specialization strategy, which neighboring countries try to apply as well. In their regional strategies, they notice the goals which are designed within the Joint Research Center methodology. It allows revealing the most efficient industries in the region, leading to a new level of regional competence on the global level. The study aims to identify smart specialization priorities based on JRC methodology in certain Ukrainian regions and assess its applicability in emerging markets (Ukrainian case) and develop the set of recommendations considering the specificity of the national economy. The methodology is based on the static and dynamic analysis of economic (the indicators of the growth of average salaries and the number of employees indicators are calculated) and innovation (the indicators of productive, process, organizational, and marketing innovations are analyzed) potential of the region, which is examined in the article. It is revealed that the JRC methodology in identifying the smart specialization priorities has limited application in Ukraine. The restrictions related to the lack of data on innovations and other economic indicators. The analysis of certain regions shows what industries should be recommended as the priorities of smart specialization. However, discussions of the calculated results with the key stakeholders have differences which are not acceptable in the regional innovation policy development. As a result, the experts’ opinions are recommended to consider the priorities of different regions in Ukraine and other developing countries, which are on the path of smart specialization during stakeholders’ communication sessions.


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