Determining factors of interregional research collaboration in Germany's biotech network: Capacity, proximity, policy?

Timo Mitze and Falk Strotebeck

Technovation, 2019, vol. 80-81, 40-53

Abstract: This paper analyses the determinants of link formation in Germany's biotech research network. Given the significance of regional clusters in the national biotech landscape, the modeling framework adopts a regional perspective and uses small-scale NUTS3 regions as nodes of the national biotech network. Linkages between nodes are measured by the number of active research collaborations between biotech actors located in these regions. The degree of the interregional collaboration activity between regional nodes is modeled as a function of the regions’ research and economic capabilities, the geographical distance between regions, and a set of policy variables. The empirical results from count data regressions show that link formation is significantly related to both node properties and the relationship between nodes. While locational factors such as regional high-tech start-up rates, the endowment with MINT employees and the population density as a broad measure for agglomeration economies are positively correlated with the extent of interregional research collaboration, distance acts an impediment to interregional collaboration. The results further show that the pursuit of network and cluster policies in the biotech sector, particularly through collaborative R&D funding, positively affects the strength of interregional collaboration activities.

Keywords: Biotechnology; Research network; Interregional collaboration; Regional innovation system; Network and cluster policy; Social network analysis (search for similar items in EconPapers)
JEL-codes: C21 L65 O38 R38 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:techno:v:80-81:y:2019:i::p:40-53

DOI: 10.1016/j.technovation.2018.11.001

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