Title: Drivers of cooperative innovation between business and science: the case of Germany

Authors: Ida D'attoma; Silvia Pacei; Giorgio Tassinari

Addresses: Department of Statistical Sciences, University of Bologna, Via delle Belle Arti 41, 40126, Bologna, Italy ' Department of Statistical Sciences, University of Bologna, Via delle Belle Arti 41, 40126, Bologna, Italy ' Department of Statistical Sciences, University of Bologna, Via delle Belle Arti 41, 40126, Bologna, Italy

Abstract: We examine the determinants of innovation cooperation in general, and with science in particular. First, the focus was on innovative firms: the ones that may decide to cooperate in innovation. Second, the cooperation with science was only defined for firms which decide to cooperate. A trivariate model with double sample selection was estimated to address the potential bias due to self-selected subsamples. Innovative firms that cooperate with science had a better in-house capability, were larger, and received more R&D support than innovators that cooperate with other partners. Furthermore, their probability of cooperating with science increased with the level of protection.

Keywords: innovation cooperation; manufacturing; double selectivity; CIS data; university-industry link.

DOI: 10.1504/IJBIR.2021.118439

International Journal of Business Innovation and Research, 2021 Vol.26 No.2, pp.163 - 193

Received: 08 Jul 2019
Accepted: 01 Nov 2019
Published online: 26 Oct 2021 *

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