University-industry research collaboration in leading and lagging regions of Europe

Authors: Sebestyén Tamas*, MTA-TKI, Erik Braun, University of Pécs, Zita Iloskics, University of Pécs, Attila Varga, University of Pécs
Topics: Economic Geography
Keywords: cooperation networks, university-industry cooperation, innovation, lagging regions, network structure
Session Type: Paper
Day: 4/7/2020
Start / End Time: 11:50 AM / 1:05 PM
Room: Director's Row E, Sheraton, Plaza Building, Lobby Level
Presentation File: No File Uploaded


This paper maps the patterns of industry-university cooperation across Europe at an institutional level, using network analytic techniques. In order to do this, we build on an extensive database collecting information on Framework Program collaborations across institution. The dataset covers the thematic areas of the collaborative projects, the funding provided under each project and for every participant, the type of the participants whether they are industry actors (firms), universities or other type of institutions and the location of the institutions. On the basis of this data we can draw a map of an extensive research collaboration network where the nodes are institutions classified into different types, the ties are cooperative projects and we also have location and funding information. Covering the 5th, 6th and 7th Framework Programs, our dataset allows for a longitudinal analysis as well. The analysis presented in this paper tracks down the characteristics of collaboration networks between these institutions while also taking their location into account. Also, by building a knowledge production function we focus on how different aspects of the structure and geographical span of cooperation networks among institutions (like the density of ties between the different types of institutions, modularity, etc.) contribute to the innovative potential of regions. In addition to the intraregional ties, we also account for extraregional links at different regional (NUTS3, NUTS2 and country) levels.

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