The Handbook of Evolutionary Economic Geography 2010
DOI: 10.4337/9781849806497.00012
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The Spatial Evolution of Innovation Networks: A Proximity Perspective

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Cited by 294 publications
(395 citation statements)
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References 66 publications
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“…Our findings partly support the proximity paradox emphasized by Frenken and Boschma (2009) and Broekel and Boschma (2011). First, we find that proximity variables, in every declination testedsocial, geographical, technological and organizational -have a positive impact on establishing collaborations.…”
Section: Discussionsupporting
confidence: 76%
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“…Our findings partly support the proximity paradox emphasized by Frenken and Boschma (2009) and Broekel and Boschma (2011). First, we find that proximity variables, in every declination testedsocial, geographical, technological and organizational -have a positive impact on establishing collaborations.…”
Section: Discussionsupporting
confidence: 76%
“…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%
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“…Econometric analysis of spatial autocorrelation phenomena is well diffused in the innovation literature, and use of alternative measures of technological, institutional, social and organizational neighbours has been discussed in depth (Torre and Gilly 2000;Boschma 2005;Cantner and Meder 2007;Boschma and Frenken 2009;Ponds et al 2007Ponds et al , 2010Marrocu et al 2013a). However, the innovative and explorative contribution of this paper consists of identifying an estimation method which considers the research object rather than the research network to compute an alternative measure of proximity.…”
Section: Knowledge Flow Network: Their Structure and Layoutmentioning
confidence: 99%