Research Repository

Understanding the network structure of Agri-Food FP7 projects: An approach to the effectiveness of innovation systems

Fernandez De Arroyabe Fernandez, Juan Carlos and Schumann, Martin and Sena, Vania and Lucas, Pablo (2021) 'Understanding the network structure of Agri-Food FP7 projects: An approach to the effectiveness of innovation systems.' Technological Forecasting and Social Change, 162. ISSN 0040-1625

[img] Text
Draft R1 26-09-2020 (DEF1).pdf - Accepted Version
Restricted to Repository staff only until 10 April 2022.
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (297kB) | Request a copy

Abstract

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 among 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 among partners, which permits the exchange of information and knowledge among 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.

Item Type: Article
Uncontrolled Keywords: Innovation Systems, Framework Programmes; Agri-Food; Network Analysis.
Divisions: Faculty of Social Sciences > Essex Business School
Depositing User: Elements
Date Deposited: 29 Sep 2020 13:16
Last Modified: 08 Mar 2021 13:16
URI: http://repository.essex.ac.uk/id/eprint/28803

Actions (login required)

View Item View Item