TY - JOUR
T1 - Determining factors of interregional research collaboration in Germany's biotech network
T2 - Capacity, proximity, policy?
AU - Mitze, Timo
AU - Strotebeck, Falk
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - Biotechnology
KW - Interregional collaboration
KW - Network and cluster policy
KW - Regional innovation system
KW - Research network
KW - Social network analysis
U2 - 10.1016/j.technovation.2018.11.001
DO - 10.1016/j.technovation.2018.11.001
M3 - Journal article
AN - SCOPUS:85058502747
SN - 0166-4972
VL - 80-81
SP - 40
EP - 53
JO - Technovation
JF - Technovation
ER -