TY - JOUR
T1 - R&D spillovers through RJV cooperation
AU - Szücs, Florian
AU - Duso, Tomaso
AU - Banal-Estanol, Albert
AU - Seldeslachts, Jo
PY - 2022
Y1 - 2022
N2 - We investigate how R&D spillovers propagate across firms linked through Research Joint Ventures (RJVs). Building on the framework developed by Bloom et al. (2013) which considers the opposing effects of knowledge spillovers and product market rivalry, we extend the model to account for RJV cooperation. Since the firm’s decision to join a RJV is endogenous, we build a model of RJV participation. The outcome equations and RJV participation are then jointly estimated in an endogenous treatment regression model. Our main findings are that the adverse effects of product market rivalry are mitigated if firms cooperate in RJVs; and that RJV participation allows firms to better absorb technological spillovers and, thus, create value.
AB - We investigate how R&D spillovers propagate across firms linked through Research Joint Ventures (RJVs). Building on the framework developed by Bloom et al. (2013) which considers the opposing effects of knowledge spillovers and product market rivalry, we extend the model to account for RJV cooperation. Since the firm’s decision to join a RJV is endogenous, we build a model of RJV participation. The outcome equations and RJV participation are then jointly estimated in an endogenous treatment regression model. Our main findings are that the adverse effects of product market rivalry are mitigated if firms cooperate in RJVs; and that RJV participation allows firms to better absorb technological spillovers and, thus, create value.
UR - https://www.sciencedirect.com/science/article/pii/S0048733321002572?via%3Dihub
U2 - 10.1016/j.respol.2021.104465
DO - 10.1016/j.respol.2021.104465
M3 - Journal article
SN - 0048-7333
JO - Research Policy (RP)
JF - Research Policy (RP)
ER -