BUILDING REGIONAL INNOVATION CAPACITY: LINKING KNOWLEDGE-INTENSIVE INNOVATIVE ENTREPRENEURSHIP AND INNOVATION GOVERNANCE

2020 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Maureen McKelvey ◽  
Stefan Szucs ◽  
Olof Zaring
Keyword(s):  
Regional Innovation ◽  
Innovation Capacity ◽  
Innovation Governance ◽  
Knowledge Intensive

A Tale of Different Realities

2019 ◽  
pp. 262-280
Author(s):  
Pedro Nuno Rebelo Pavão ◽  
João Pedro Almeida Couto ◽  
Maria Manuela Santos Natário
Keyword(s):  
Innovation Policy ◽  
Regional Governance ◽  
Regional Level ◽  
The European Union ◽  
Regional Innovation ◽  
Structural Funds ◽  
Innovation Dynamics ◽  
Innovation Capacity ◽  
And Cluster Analysis ◽  
Private Actors

This chapter aims to identify the determinants that affect innovation capacity at regional level in Europe. It proposes modelling the territorial innovation capacity and identifies relevant factors with influence on the innovation capacity at a regional level. The chapter uses the Regional Innovation Scoreboard database and cluster analysis to detect behavioral patterns in terms of innovation performance in European regions. The results show that innovation capacity is related to regional governance, and particularly regional autonomy, regional control of innovation policy, influencing the affectation of structural funds, and the region's location within the European Union. Cohesion policy criteria is also a significant factor, demonstrating the adequacy of the European regional policy's new programming regarding innovation policy. These results point to the importance of the participation of regions in formulation, and implementation bottom-up strategies to develop innovation dynamics and develop partnerships with other public and/or private actors.

The Regional Innovation Capacity Model

2012 ◽  
pp. 243-256
Author(s):  
Antonio Lerro ◽  
Giovanni Schiuma
Keyword(s):  
Local System ◽  
Point Of View ◽  
Future Research ◽  
Regional Innovation ◽  
Knowledge Based ◽  
Future Research Agenda ◽  
Capacity Model ◽  
Innovation Dynamics ◽  
Innovation Capacity ◽  
Definition Of

This chapter aims to present a conceptual model aimed to understand the Intellectual Capital-based (IC) characteristics of the regional innovation capacity. The proposed Regional Innovation Capacity Model (RICM) can be used for interpretative and normative purposes to analyse the innovation dynamics taking place at regional and territorial level. From an interpretative point of view, the model identifies the pillars grounding the innovation capacity of a local system. While, from a normative perspective, the model can inspire the definition of guidelines driving the design and the implementation of actions, projects and programmes aimed to stimulate and sustain regional development dynamics. The RICM adopts a knowledge-based perspective assuming that IC, in the forms of regional knowledge assets, and knowledge dynamics, in the form of knowledge transfer and learning processes, are the drivers of innovative processes and outputs. The chapter concludes proposing a future research agenda.

scholarly journals Sustainable Innovation Governance: An Analysis of Regional Innovation with a Super Efficiency Slack-Based Measure Model

2020 ◽  
Vol 12 (7) ◽  
pp. 3008 ◽  
Author(s):  
Kai Xu ◽  
Lawrence Loh ◽  
Qiang Chen
Keyword(s):  
Negative Impact ◽  
Eastern China ◽  
Economic Transformation ◽  
Influential Factors ◽  
Western China ◽  
Regional Innovation ◽  
Total Energy Consumption ◽  
Super Efficiency ◽  
Sustainable Innovation ◽  
Innovation Governance

As China is undergoing economic transformation and facing increasing energy and environmental problems, it is essential to pay special attention to sustainable innovation governance. This research took industrial waste and total energy consumption into consideration and uses a super efficiency slack-based measure (SBM) model to empirically evaluate the regional innovation efficiency of Chinese provinces. The results showed that the efficiency of China’s regional sustainable innovation has not changed significantly over recent years. In addition, the results also showed large and varying degrees of innovation efficiency across different provinces. Eastern China, in comparison to central and western China, showed higher innovation efficiency. In addition, we found a slightly increasing trend in terms of innovation efficiency disparities between the three areas. On the basis of these findings, the reasons for the innovation efficiency gap between different regions were analyzed. The impacts of influential factors on sustainable innovation efficiency were further explored. We found that technology market maturity affected sustainable innovation efficiency positively, while government funding had a negative impact on sustainable innovation efficiency. Industrial structure and environmental regulations had no significant effect on sustainable innovation efficiency. Finally, some implications for improving governance performance in terms of sustainable innovation were provided.

scholarly journals Efficiency of regional innovation policy tools: Support of innovative business in the South Moravian Region

Ergo ◽  
2018 ◽  
Vol 13 (2) ◽  
pp. 15-19
Author(s):  
Miroslav Kostić
Keyword(s):  
Regional Economy ◽  
Innovation Policy ◽  
Growth Dynamics ◽  
Business Environment ◽  
High Tech ◽  
Highly Qualified ◽  
The South ◽  
Regional Innovation ◽  
Knowledge Intensive ◽  
South Moravia

AbstractDuring 15 years of implementation of the Regional Innovation Strategy of South Moravia, the support of innovative business evolved into a set of interconnected programmes for startups and innovative companies with a potential of growth and foreign expansion. Programmes of the South Moravian Innovation Centre (JIC) facilitate creation and development of technology oriented companies in the region, highly concentrated in prioritised high-tech branches corresponding with specialisation of the regional economy (IT, mechanical engineering etc.). Growth of highly qualified jobs (mainly in R&D) in these companies contributes to the increasing orientation of the region on knowledge intensive branches of economy. Emerging companies supported by the JIC show in average a longer lifespan and growth dynamics than comparable newly established companies in the region without this support. Realisation of the programmes also significantly contributes to building of high quality business environment in the region. Problematic aspects of support to innovative business in the South Moravian Region are linked mainly with poor network of investors able to stimulate faster growth of startups, with low motivation of university students to start their own business or with emerging dichotomy in the support of knowledge intensive businesses concentrated in Brno and insufficiently supported businesses with lower knowledge intensity, also operating in priority branches of the regional economy.

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