European Union Science and Technology Policy, Research Joint Venture Collaboration and Competition Policy

Barker, Katharine; Cameron, Hugh

doi:10.4337/9781845420505.00021

Cited by 11 publications

(12 citation statements)

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“…For example, although difficult to quantify, developing cooperation between universities and firms is likely to be of considerable long-term importance to the performance of European industry (Larédo 1995). The formation of regional RTD networking activities can also be considered an important feature (Barker and Cameron, 2004). However, only little empirical work on the overall structure, dynamics and evolution of networks emerging in the context of EU FPs has so far been produced (Breschi and Cusmano 2004;Roediger-Schluga and Barber 2008).…”

Section: Discussionmentioning

confidence: 97%

“…While much criticism has been made of EU research programmes, for instance, they have been recently criticized for putting 'too much emphasis on various types of "networking", "interactions with the local environment" or "attention to user needs" suggesting that they should be more focused on 'policy measures aimed at strengthening basic research and, at the opposite end, at strengthening European corporate actors' (Dosi, Llerena, andLabini 2006, 1451), there is enough evidence to point to positive impacts (Barker and Cameron 2004). More specifically, the FPs seem to play a role in the promotion of common technical standards and the share of costs and risks inherent the development of new technologies (Luukkonen 1998;Caloghirou, Vonortas, and Ioannides 2004).…”

Section: Eu Framework Programmesmentioning

confidence: 97%

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Policy-driven collaborative research networks in Europe

Πρωτόγερου

Caloghirou

Siokas

2010

Economics of Innovation and New Technology

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This paper examines the nature and structure of particular types of networks, i.e. policy-driven collaborative research networks. More specifically, it analyses the emerging networks formed under the fourth, fifth, and sixth EU Framework Programmes in the area of Information Society Technologies. This considerable time-span of roughly 12 years allows for comprehensive monitoring of these networks' evolution. Four sets of results with significant policy implications arise: (a) the networks analysed display characteristics of complex networks such as small-world property and scale-free distributions, (b) the networks examined are structured around a core of organizations, mainly universities and research institutes which have assumed a very influential role over time, (c) the introduction of new instruments in FP6 has considerably increased interconnectivity compared with the previous FPs, thus contributing to the implementation of the European Research Area initiative. In addition, another set of targeted instruments for upgrading the strategic position - within the networks - of promising peripheral actors should be designed.European Framework Programmes, research joint ventures, R&D networks, information society technologies, social network analysis,

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Section: Discussionmentioning

confidence: 97%

Section: Eu Framework Programmesmentioning

confidence: 97%

Policy-driven collaborative research networks in Europe

Πρωτόγερου

Caloghirou

Siokas

2010

Economics of Innovation and New Technology

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Section: Theoretical Backgroundmentioning

confidence: 99%

“…In spite of their different scopes, the fundamental rationale of the FPs has remained unchanged since their launch in 1984 (see Barker and Cameron 2004). 4 The overall objectives of the FPs have been to strengthen the scientific and technological bases of the European scientific community (Maggioni et al 2007, among others) and the European economy to foster international competitiveness, and the promotion of research activities in support of other EU policies (see CORDIS 2006).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Towards an integrated European Research Area? Findings from Eigenvector spatially filtered spatial interaction models using European Framework Programme data

Scherngell¹,

Lata²

2013

Papers in Regional Science

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One of the main goals of the European Research Area (ERA) concept is to improve integration of the European research system. The main policy instrument in this context is the European Framework Programme (FP) supporting pre‐competitive collaborative Research and Development (R&D). The objective of this study is to monitor progress towards ERA by identifying the evolution of separation effects influencing FP collaboration intensities between 255 European regions over the period 1999–2006. We employ spatial interaction models accounting for spatial autocorrelation by using spatial filtering methods. The results show that geographical distance and country border effects gradually decrease, and point to the contribution of the FPs to the realization of ERA.

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“…Since FP4, R&D activities have been complemented with funding for the training and mobility of researchers, special support for SMEs, networking and exploitation activities. Despite the evolution of their objectives and their scope (an excellent comprehensive yet concise account is Barker and Cameron 2004), the fundamental rationale of the FPs as mid-term research programmes that support collaborative research in selected technological priority areas has remained unchanged. Moreover, all FPs share a few key structural elements (see Caracostas and Muldur 2001, p. 162).…”

Section: Rationale Objectives and Structure Of The European Framewormentioning

confidence: 99%

R&D collaboration networks in the European Framework Programmes: data processing, network construction and selected results

Roediger-Schluga

Barber

2008

IJFIP

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We describe the construction of a large and novel data set on R&D collaboration networks in the first five EU Framework Programmes (FPs), examine key features and provide economic interpretations for our findings. The data set is based on publicly available raw data that presents numerous challenges. We critically examine the different problems and detail how we have dealt with them. We describe how we construct networks from the processed data. The resulting networks display properties typical for large complex networks, including scale-free degree distributions and the small-world property. The former indicates the presence of network hubs, which we identify. Theoretical work shows the latter to be beneficial for knowledge creation and diffusion. Structural features are remarkably similar across FPs, indicating similar network formation mechanisms despite changes in governance rules. Several findings point towards the existence of a stable core of interlinked actors since the early FPs with integration increasing over time. This core consists mainly of universities and research organisations. The paper concludes with an agenda for future research.JEL Classification: L14, O38, Z13

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European Union Science and Technology Policy, Research Joint Venture Collaboration and Competition Policy

Cited by 11 publications

References 0 publications

Policy-driven collaborative research networks in Europe

Policy-driven collaborative research networks in Europe

Towards an integrated European Research Area? Findings from Eigenvector spatially filtered spatial interaction models using European Framework Programme data

R&D collaboration networks in the European Framework Programmes: data processing, network construction and selected results

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