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Understanding the network structure of agri-food FP7 projects: An approach to the effectiveness of innovation systems

机译:了解Agri-Food FP7项目的网络结构:一种创新系统有效性的方法

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Innovation Systems (IS) have emerged as focal points for innovation and technology, facilitating interaction between private companies, research centres and institutional actors. For over 30 years, the Framework Programmes (FPs) have been one of the primary mechanisms through which collaboration amongst research institutions and industry has been promoted within the European Common Market. Over time, these research consortia financed by FPs have created a network of relations amongst partners, which permits the exchange of information and knowledge amongst institutions and firms. While the literature on innovation systems has highlighted this network as a driver of innovation development, little is known about the properties of the network structure. This paper aims to fill this gap in the literature by using social network analysis to describe the topological properties of the Agri-Food network funded by the FPs between 2008 and 2014. We extend the literature on innovation systems in terms of its modelling and effectiveness. We conclude that the effectiveness of innovation systems depends on several factors such as heterogeneity and geographic diversity of the participants as well as their position in the network. Importantly, our paper highlights the importance of the structural properties of the network underlying an IS when assessing the effectiveness of R&D policies.
机译:创新系统(IS)已成为创新和技术的焦点,促进私营公司,研究中心和机构行动者之间的互动。超过30年,框架计划(FPS)是研究机构和行业在欧洲共同市场中促进的主要机制之一。随着时间的推移,FPS资助的这些研究联盟已经创建了合作伙伴之间的关系网络,这允许在机构和公司之间交流信息和知识。虽然创新系统的文献突出了这个网络作为创新发展的驾驶员,但对网络结构的性质知之甚少。本文旨在利用社交网络分析填补文献中的这种差距,以描述由2008年至2014年之间的FPS资助的农业食品网络的拓扑特性。我们在其建模和有效性方面延长了创新体系的文献。我们得出结论,创新体系的有效性取决于参与者的异质性和地理分集等几个因素以及网络中的地位。重要的是,我们的论文突出了网络基础的结构性的重要性,即在评估研发政策的有效性时。

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