Openness values and regional innovation: a set-analysis

2018 ◽  
Vol 19 (6) ◽  
pp. 1211-1232 ◽  
Author(s):  
Roel Rutten
Keyword(s):  
Technology Transfer ◽  
Social Space ◽  
Qualitative Comparative Analysis ◽  
European Regions ◽  
Regional Innovation ◽  
North West ◽  
Statistical Studies ◽  
Non Local ◽  
Relational Economic Geography ◽  
Better Than

AbstractStatistical studies evidence that openness values matter for regional innovation but not how they matter. A qualitative comparative analysis (QCA) study of 108 North–West European regions identifies four cross-case mechanisms that explain regional innovation: the diversity, cosmopolitan environment, technology transfer and creativity mechanisms. Only in technology transfer do openness values not play a role. This evidences that openness values connect diverse local and non-local social spaces to local and non-local physical places to unlock a larger potential for more dynamic innovation. QCA understands causality as configurational and identifies mechanisms rather than net effects, which answers how-questions better than statistical methods do. The focus on mechanisms highlights how innovation connects interactions between agents in social space to physical place, which makes an empirical contribution to the relational economic geography literature.

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 Social Space Diffusion: Applications of a Latent Space Model to Diffusion with Uncertain Ties

2019 ◽  
Vol 49 (1) ◽  
pp. 258-294 ◽  
Author(s):  
Jacob C. Fisher
Keyword(s):  
Diffusion Model ◽  
Social Life ◽  
Social Space ◽  
Weighted Averaging ◽  
Network Ties ◽  
Dual Nature ◽  
Space Model ◽  
Latent Space ◽  
Latent Space Model ◽  
Better Than

Social networks represent two different facets of social life: (1) stable paths for diffusion, or the spread of something through a connected population, and (2) random draws from an underlying social space, which indicate the relative positions of the people in the network to one another. The dual nature of networks creates a challenge: if the observed network ties are a single random draw, is it realistic to expect that diffusion only follows the observed network ties? This study takes a first step toward integrating these two perspectives by introducing a social space diffusion model. In the model, network ties indicate positions in social space, and diffusion occurs proportionally to distance in social space. Practically, the simulation occurs in two parts. First, positions are estimated using a statistical model (in this example, a latent space model). Then, second, the predicted probabilities of a tie from that model—representing the distances in social space—or a series of networks drawn from those probabilities—representing routine churn in the network—are used as weights in a weighted averaging framework. Using longitudinal data from high school friendship networks, the author explores the properties of the model. The author shows that the model produces smoothed diffusion results, which predict attitudes in future waves 10 percent better than a diffusion model using the observed network and up to 5 percent better than diffusion models using alternative, non-model-based smoothing approaches.

Does EU Framework Program Participation Affect Regional Innovation? The Differentiating Role of Economic Development

2016 ◽  
Vol 40 (4) ◽  
pp. 405-439 ◽  
Author(s):  
Attila Varga ◽  
Tamás Sebestyén
Keyword(s):  
Central And Eastern Europe ◽  
Program Participation ◽  
The European Union ◽  
European Regions ◽  
Regional Innovation ◽  
Viable Option ◽  
Eu Member States ◽  
Amount Of Knowledge ◽  
Innovation Impact

Framework Programs (FPs) of the European Union (EU) finance collaboration among research units located in different parts of Europe and as such they mediate the flow of a significant amount of knowledge across distantly located European regions. Contrary to expectations, no evidence has been found in the literature on the supposed positive regional innovation impact of FP participation. We assume in this article that the overall missing impact of EU FP participation on regional patenting masks an important spatial regime effect. Our results are supportive of this assumption. While FP research subsidies act as a substitute for funding from other sources in regions of old EU member states, innovation in lagging regions in Central and Eastern Europe tends to rely more on the external knowledge transferred via FP-funded research networks to compensate for their less developed local knowledge infrastructures. Our findings are important, as they suggest that, in combination with other policies, strengthening research excellence and international scientific networking in relatively lagging regions could be a viable option to increase regional innovativeness.

scholarly journals University satellite institutes as exogenous facilitators of technology transfer ecosystem development

2021 ◽  
Author(s):  
Marcus Conlé ◽  
Henning Kroll ◽  
Cornelia Storz ◽  
Tobias ten Brink
Keyword(s):  
Technology Transfer ◽  
Industrial Development ◽  
Geographical Proximity ◽  
Ecosystem Development ◽  
Knowledge Based ◽  
Knowledge Infrastructure ◽  
Low Degree ◽  
Absorptive Capacities ◽  
Non Local ◽  
The Pearl River

AbstractUniversities can contribute to knowledge-based regional development not only in their home region but also in other regions. In a number of countries, universities have established university satellite institutes in additional (host) regions to promote research and technology transfer there. We investigate the role of university satellite institutes in the industrial development of regions, which, albeit not economically marginal, suffer from a weak knowledge infrastructure, limited absorptive capacities for external knowledge in the business sector and hence a low degree of attractiveness for non-local knowledge actors. Despite policy recommendations in favor of establishing satellite institutes, there has only been limited empirical research on this phenomenon, particularly concerning technology transfer ecosystem development. To fill this gap, we provide an exploratory case study of university satellite institutes in the Pearl River Delta of China’s Guangdong province. We show how such institutes can be successful in facilitating the development of their host region’s technology transfer ecosystems and demonstrate why they should be conceptually included in our existing understanding of third mission activities. Our research centers on the interplay of geographical proximity and non-spatial, organized proximity in the development of interregional knowledge bridges and entrepreneurial opportunities. We argue that the university’s geographical proximity is only successful if the satellite institute, by facilitating organized proximity, promotes the geographical proximity of further knowledge actors, hereby propelling ecosystem development.

scholarly journals Regionalne strategie innowacji jako czynnik aktywizacji polskiej przestrzeni przemysłowej

2006 ◽  
Vol 9 ◽  
pp. 20-27
Author(s):  
Andrzej Wieloński ◽  
Katarzyna Szmigiel
Keyword(s):  
Economic Policy ◽  
Innovation System ◽  
Regional Innovation System ◽  
Regional Innovation Systems ◽  
European Regions ◽  
Regional Innovation ◽  
The West ◽  
The Third ◽  
New Instrument ◽  
Innovation Strategies

The main goal of the article is to present the regional innovation strategies in the context of the industrial changes in Poland. The analysis has three parts. The first part introduces the general aims of RIS and their history in Europe, the second concerns the RIS in Poland and one of the Polish RIS in particular – RIS Silesia, and the third part describes the effects of Regional Innovations Strategies.RIS are the instruments of regional governments to build the regional innovation systems. A regional innovation system is the environment improving the entrepreneurship and innovation. RIS have been known in Europe since the 1980s but in Poland they are a new instrument implemented by the relatively new structures of regional government.The process of creation and implementation of these documents should be observed by the academics from the beginning, as it may turn out to be one of the most important instruments of the economic policy of the Polish regions. This is because of the financial capacity of the Polish regions and their willingness to follow the West European regions’ example.

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