Regional systems of innovation and the knowledge production function: the Spanish case

Buesa, Mikel; Heijs, Joost; Pellitero, Mónica Martínez; Baumert, Thomas

doi:10.1016/j.technovation.2004.11.007

Cited by 147 publications

(101 citation statements)

References 8 publications

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“…This view stems from perceiving spin-offs as a manner to exploit intellectual property emerged from science and embedded in parent organisations (see Mustar et al (2006) for more details). In addition, our regional emphasis is even stronger, since the analysed organisations are in their turn rooted in the Catalan environment that is believed to positively influence industrial growth and innovation capabilities (see Ahedo (2006) or Buesa et al (2006) (Nicolaou and Birley 2003), the bureaucracy and inflexibility of university administrators (Siegel et al 2003) or the resources of the TTOs (Clarysse et al 2005). It is worth stressing that these studies did not specifically attempt to evaluate the performance of spin-offs from support institutions similar to the Catalan TTs and therefore do not provide a set of operationalized variables.…”

Section: Theoretical Underpinningsmentioning

confidence: 99%

Assessing Technology-Based Spin-offs from University Support Units

Epure

Prior²,

Serarols³

2014

Regional Studies

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This paper takes a regional studies approach to assess spin-offs from a university-based technology transfer network. We first detect the regional objectives, inputs and outputs needed to assess spin-offs from support programmes. We then provide evidence on regional mechanisms for firm creation. We analyse spin-offs created at Catalan universities and find that many efficient spin-offs have formal technology transfer agreements, and emerge from technology-oriented universities. We also find that higher innovation levels and experience from the parent university are associated with higher efficiency, which is positively related to future fundamental profitability. Finally, we propose regional policy making and research directions.

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Section: Theoretical Underpinningsmentioning

confidence: 99%

Assessing Technology-Based Spin-offs from University Support Units

Epure

Prior²,

Serarols³

2014

Regional Studies

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“…We propose to measure synergy in terms of redundancy using an indicator developed in the Triple-Helix context (Leydesdorff 2003). We elaborate this approach for the case of Spain (Buesa et al 2006;Navarro and Gibaja 2012;ZabalaIturriagagoitia et al 2007).…”

Section: Introductionmentioning

confidence: 99%

“…Two regions particularly-Catalonia and the Basque Country-have national aspirations because of their languages and their in some respects different positions within Spain and the European Union (Cooke and Morgan 1992;Buesa et al 2006;Moso and Olazaran 2002;RibaVilanova and Leydesdorff 2001). In which respects (e.g., sectors) can Spain nevertheless be considered as a national system of innovations, or have regions been able to construct their own innovation systems; and if so, to what degree?…”

Section: Introductionmentioning

confidence: 99%

Measuring the expected synergy in Spanish regional and national systems of innovation

Leydesdorff

Gómez

2017

J Technol Transf

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This paper examines the effect of synergy at the geographical, technological, and organizational levels on the structure of the innovative system in Spain. Using a unique dataset of more than one million firms in 2010 across geographic regions in Spain, it empirically estimates the synergy within and across regions and sectors. The key findings indicate that Spain's innovation system is largely decentralized into more regionalized systems with the strongest role played by the metropolitan areas. The results have policy implications for Spain as well as other nations and intra-country regions. The paper contributes to the extant literature related to innovation systems in three ways: first, by using a more novel approach adapting the triple helix context; second, by providing empirical evidence on the importance of synergy in influencing the structure of a national innovation system; and third, by providing a case study of Spain.

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“…It was affected by the idea that industrial branches are concentrated in some geographical areas, and the existing decentralized policy can be applied at the regional level (Buesa, Heijs, Pellitero, & Baumert, 2006). The innovation systems concept (together with the endogenous growth theory and the cluster-based theory of the national industrial competitive advantage) was also used for the construction of the concept of national innovative capacity.…”

Section: Introductionmentioning

confidence: 99%

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

Klímová

Žítek

2016

Naše Gospodarstvo/Our Economy

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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.

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Regional systems of innovation and the knowledge production function: the Spanish case

Cited by 147 publications

References 8 publications

Assessing Technology-Based Spin-offs from University Support Units

Assessing Technology-Based Spin-offs from University Support Units

Measuring the expected synergy in Spanish regional and national systems of innovation

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

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