Social distance versus spatial distance in R&amp;D cooperation: Empirical evidence from European collaboration choices in micro and nanotechnologies

Autant‐Bernard, Corinne; Billand, Pascal; Frachisse, David; Massard, Nadine

doi:10.1111/j.1435-5957.2007.00132.x

Cited by 217 publications

(197 citation statements)

References 26 publications

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“…Autant-Bernard et al (2007) find that relational distance by means of the firms` position within a network matters more than their geographical location. Maggioni et al (2007) suggest that a region`s knowledge production is mainly influenced, besides by regions that are located close in geographical space, also by regions that are close in relational space.…”

Section: The Empirical Modelmentioning

confidence: 88%

Research Collaboration and Regional Knowledge Production in Europe

Hidas

Wolska

Fischer

et al. 2013

The Geography of Networks and R&D Collaborations

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Abstract. The focus of this study is on regional knowledge production in Europe, with special emphasis on the interplay between intra-and inter-regional research collaboration. The objective is to identify and measure effects of research collaboration on knowledge production at the level of European regions. We use a panel data spatial Durbin model (SDM) relationship for empirical testing. The European coverage is achieved using 228 NUTS-2 regions covering all pre-2007 EU member states except Cyprus, Greece and Malta. The dependent variable, regional knowledge production, is measured in terms of fractional patent counts at the regional level in the time period [2000][2001][2002][2003][2004][2005][2006][2007][2008], using patents applied at the European Patent Office (EPO). The independent variables include an agglomeration variable, reflecting intra-regional research collaboration, measured in terms of employment in knowledge intensive sectors, and a network variable, reflecting extra-regional research collaboration, measured in terms of a region´s collaboration activities in the EU Framework programmes (FPs), weighted by R&D expenditures in network partner regions. We implement a panel version of the standard SDM that controls for spatial autocorrelation as well as individual heterogeneity across regions, and allows for the estimation of spatial spillovers from neighbouring regions. The estimation results confirm the prevalence of agglomeration effects for regional knowledge production, and, by this, the importance of co-location of R&D actors. Furthermore, the study provides evidence that inter-regional R&D collaborations in the FPs significantly contribute to regional knowledge production. Up to now, there is only little empirical evidence on the local-global duality in knowledge creation at the regional level. In this study we take a regional perspective to address this question drawing on novel data sets providing information on project based networking activities in the The paper is organised as follows. Section 2 sheds some light on the theoretical background for the study, focusing on regional knowledge production and the importance of extra-regional research collaboration for gaining access to external knowledge sources. Section 3 outlines the econometric framework, specifying the empirical model in form of a panel version of the SDM relationship to be estimated. Section 4 comprises a detailed description of the empirical setting, presenting the ...

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Section: The Empirical Modelmentioning

confidence: 88%

Research Collaboration and Regional Knowledge Production in Europe

Hidas

Wolska

Fischer

et al. 2013

The Geography of Networks and R&D Collaborations

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“…Second, these knowledge flows are localized to the extent that individuals and inter--personal networks are also localized, essentially because individuals are not very mobile in space (Breschi and Lissoni, 2009). This contributes to explain why geography end--up playing little or even no role, once social network is accounted for (Autant--Bernard et al 2007;Maggioni et al, 2007).…”

Section: Geographical Proximity and Networkmentioning

confidence: 99%

“…The so--called "proximity paradox" argues that the drivers of network formation should be distinguished from the determinants of innovative performance. If proximity and network embeddedness clearly explain the formation of network relations (Autant--Bernard, et al 2007;Cassi and Plunket, 2012), interactive learning and knowledge flows (Agrawal et al 2006;Breschi and Lissoni, 2009), they may not necessarily benefit innovative performance, they may even be harmful for interactive learning (Boschma, and Frenken, 2009). This paper aims to empirically investigate the proximity paradox.…”

Section: Introductionmentioning

confidence: 99%

Proximity, network formation and inventive performance: in search of the proximity paradox

Cassi

Plunket

2014

Ann Reg Sci

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This paper investigates how network relations, proximity and their interplay affect collaboration and their inventive performance. Using patent citations as a proxy for patent quality, we investigate how the network and proximity characteristics of co--inventors enable them to access different sources of knowledge, in different geographical and organizational contexts, and finally affect the quality of inventive collaboration. Our findings enable to address the proximity paradox, which states that proximity facilitates collaboration and knowledge sharing, but it does not necessarily increase innovative performance, too much proximity may even harm innovation (Boschma and Frenken, 2009;Broekel and Boschma, 2011).

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“…Despite the high variance in databases, levels of analysis and estimation methods, the economic literature on research networks financed under the EU Framework programmes (Autant-Bernard et al 2007;Balland 2012;Caloghirou et al 2004;Breschi and Cusmano 2004;Protogerou et al 2010;Lata and Scherngell 2010;Barber 2009, 2011) shows the existence of an oligopolistic structure in which a restricted number of institution localized in central, high-income regions play a major role along a core-periphery pattern. Thus, we can expect the interregional network structure also to be heavily influenced by the spatial distribution of members and coordinators in the different European regions.…”

Section: Rq1: Does Each Of the Theoretically Imposed Layouts At The Imentioning

confidence: 99%

Does intentional mean hierarchical? Knowledge flows and innovative performance of European regions

2014

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The production of scientific and technical knowledge is mostly concentrated in specific locations (high-tech clusters, innovative industry agglomerations, centres of excellence, and technologically advanced regions). Knowledge flows very easily within regions; however, scientific and technical knowledge also flow between regions. The aim of this paper was to analyse how knowledge flows between regions, and the effect of these flows on the innovative performance, measured by patent applications. We estimate a regional knowledge production function, and, using appropriate spatial econometric estimation techniques, we test the effect of both geographical and relational autocorrelation (measured by participation in EU funded research networks as part of Fifth Framework Programme). We model unobservable structure and link value of knowledge flows in these joint research networks. We find that knowledge Previous versions of this paper were presented at the 7th European Meeting on Applied Evolutionary Economics, Pisa, February 2011; Dimetic Conference on 'Regional Innovation and Growth: Theory, empirics and policy analysis', Pècs, March 2011; Eurolio Conference on the Geography of Innovation, Saint Etienne, January 2012. We thank participants for useful comments and suggestions. In depth, discussions with E. Bergman, P. Elhrost, S. Beretta, B. Dettori, K. Frenken, G. Fagiolo, E. Marrocu, S. Usai and the recommendation from three referees for a thorough revision of the paper have substantially improved its structure and the arguments. The usual caveats apply. flows within inter-regional research networks, along non-symmetrical and hierarchical structures in which the knowledge produced by network participants tends to be exploited by the network coordinator. JEL Classification

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Social distance versus spatial distance in R&D cooperation: Empirical evidence from European collaboration choices in micro and nanotechnologies

Cited by 217 publications

References 26 publications

Research Collaboration and Regional Knowledge Production in Europe

Research Collaboration and Regional Knowledge Production in Europe

Proximity, network formation and inventive performance: in search of the proximity paradox

Does intentional mean hierarchical? Knowledge flows and innovative performance of European regions

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