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Proximity and the Evolution of Collaboration Networks: Evidence from Research and Development Projects within the Global Navigation Satellite System (GNSS) Industry

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  • Pierre-Alexandre Balland
Abstract
Balland P.-A. Proximity and the evolution of collaboration networks: evidence from research and development projects within the global navigation satellite system (GNSS) industry, Regional Studies . This paper analyses the influence of proximity on the evolution of collaboration networks. It determines empirically how organizations choose their partners according to their geographical, cognitive, organizational, institutional and social proximity. Relational databases are constructed from research and development collaborative projects, funded under the European Union 6th Framework Programme within the global navigation satellite system (GNSS) industry from 2004 to 2007. The stochastic actor-based model SIENA is used to model the network dynamic as a realization of a continuous-time Markov chain and to estimate parameters for underlying mechanisms of its evolution. Empirical results show that geographical, organizational and institutional proximity favour collaborations, while cognitive and social proximity do not play a significant role. Balland P.-A. 相似性以及协作网络的演进：来自全球导航卫星系统产业研究及发展项目的相关证据 ，区域研究。本文分析了相似性在协作网络演进过程中的作用。这一研究从经验层面 上考察了不同的组织是如何根据地理的、认知的、组织学的、制度的以及社会的相似 性来选择合作伙伴的。2004－2007 年间欧盟全球导航卫星系统产业的第六次框架计划资助了一系列研究及发展项目，基 于上述研究及项目我们构建了相关的数据库。我们利用随机的行为者模型 SIENA 来模型化了网络活力，以实现连续的 Markov 链同时估测了影响其演进机制的相关变量。经验结果表明，地理的、组织的以及制度 的相似性会促进协作的产生，而认知与空间的相似性作用并不显著。 协作网络 相似性 经济地理学 活力网络模型 全球导航卫星系统 （GNSS） Balland P.-A. La proximit� et l’�volution des r�seaux de collaboration: des preuves provenant des projets de R et D au sein de l’industrie du système global de navigation par satellite (GNSS), Regional Studies . Ce papier analyse l’influence de la proximit� sur l’�volution des r�seaux de collaboration. Il d�termine empiriquement la façon dont les organisations choisissent leurs partenaires en fonction de leur proximit� g�ographique, cognitive, organisationnelle, institutionnelle et sociale. Les bases de donn�es relationnelles sont construites à partir des projets collaboratifs de R&D financ�s par le 6-super-ème Programme Cadre de Recherche et de D�veloppement de l’Union Europ�enne, dans la navigation par satellite (GNSS) de 2004 à 2007. Le modèle stochastique orient� par l’acteur SIENA est utilis� pour mod�liser la dynamique du r�seau par une chaîne de Markov en temps continu et pour estimer les paramètres li�s aux m�canismes de son �volution. Les r�sultats empiriques montrent que les dimensions de proximit� g�ographique, organisationnelle et institutionnelle favorisent les collaborations, tandis que les formes de proximit� cognitive et sociale ne jouent pas un rôle significatif. R�seaux de collaboration Proximit� Économie g�ographique Modèles de r�seaux dynamiques Système global de navigation par satellite (GNSS) Balland P.-A. Nähe und Entstehen von kooperativen Netzwerken: Belege aus Forschungs- und Entwicklungsprojekten innerhalb der Branche des globalen Navigationssatellitensystems (GNSS), Regional Studies . In diesem Beitrag wird der Einfluss der Nähe auf das Entstehen von kooperativen Netzwerken untersucht. Auf empirische Weise wird ermittelt, wie sich Firmen ihre Partner je nach ihrer geografischen, kognitiven, organisationellen, institutionellen und sozialen Nähe aussuchen. Auf der Grundlage von kooperativen Forschungs- und Entwicklungsprojekten innerhalb der Branche des globalen Navigationssatellitensystems (GNSS) im Zeitraum von 2004 bis 2007, die unter dem 6. Rahmenprogramm der Europäischen Union finanziert wurden, werden relationale Datenbanken aufgebaut. Zur Modellierung der Netzwerkdynamik als Realisierung einer zeitlich kontinuierlichen Markow-Kette und zur Schätzung der Parameter für die zugrundeliegenden Mechanismen ihrer Entstehung kommt das stochastische, akteurbasierte SIENA-Modell zum Einsatz. Aus den empirischen Ergebnissen geht hervor, dass eine geografische, organisationelle und institutionelle Nähe die Zusammenarbeit fördert, während die kognitive und soziale Nähe keine signifikante Rolle spielt. Kooperative Netzwerke Nähe Wirtschaftsgeografie Dynamische Netzwerkmodelle Globales Navigationssatellitensystem (GNSS) Balland P.-A. Proximidad y la evolución de las redes de colaboración: evidencias de proyectos de investigación y desarrollo en la industria del sistema global de navegación por sat�lite (GNSS), Regional Studies . En este art�culo se analiza la influencia de la proximidad en la evolución de las redes de colaboración. Se determina emp�ricamente cómo las organizaciones eligen sus socios en función de su proximidad geográfica, cognitiva, organizativa, institucional y social. Se construyen bases de datos relacionados a partir de proyectos colaboradores de investigación y desarrollo financiados bajo el sexto programa marco de la Unión Europea en la industria del sistema global de navegación por sat�lite (GNSS) de 2004 a 2007. Se utiliza el enfoque estocástico SIENA basado en actores para modelar la dinámica de redes como realización de una cadena Markov de tiempo continuo y calcular los parámetros de los mecanismos subyacentes de su evolución. Los resultados emp�ricos muestran que la proximidad geográfica, organizativa e institucional favorece las colaboraciones mientras que la proximidad cognitiva y social no desempeña un papel significativo. Redes de colaboración Proximidad Geograf�a económica Modelos de redes dinámicas Sistema global de navegación por sat�lite (GNSS)

Suggested Citation

  • Pierre-Alexandre Balland, 2012. "Proximity and the Evolution of Collaboration Networks: Evidence from Research and Development Projects within the Global Navigation Satellite System (GNSS) Industry," Regional Studies, Taylor & Francis Journals, vol. 46(6), pages 741-756, September.
    • Handle: RePEc:taf:regstd:v:46:y:2012:i:6:p:741-756
    DOI: 10.1080/00343404.2010.529121
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    References listed on IDEAS

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    1. Max-Peter Menzel, 2008. "Dynamic Proximities – Changing Relations by Creating and Bridging Distances," Papers in Evolutionary Economic Geography (PEEG) 0816, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Oct 2008.
    2. Pierre-Alexandre Balland & Raphael Suire & Jerome Vicente, 2010. "How do Clusters/Pipelines and Core/Periphery Structures Work Together in Knowledge Processes?," Papers in Evolutionary Economic Geography (PEEG) 1008, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jun 2010.
    3. Ron Boschma & Koen Frenken, 2010. "The Spatial Evolution of Innovation Networks: A Proximity Perspective," Chapters, in: Ron Boschma & Ron Martin (ed.), The Handbook of Evolutionary Economic Geography, chapter 5, Edward Elgar Publishing.
    4. Olivier BROSSARD (LEREPS-GRES) & Jérôme VICENTE (LEREPS-GRES), 2007. "Cognitive & Relational Distance in Alliance Networks: Evidence on the Knowledge Value Chain in the European ICT Sector," Cahiers du GRES (2002-2009) 2007-18, Groupement de Recherches Economiques et Sociales.
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