TY - JOUR
T1 - R&D Drivers and Age: Are Young Firms Different?
AU - García-Quevedo, José
AU - Vivarelli, Marco
AU - Pellegrino, Gabriele
PY - 2014
Y1 - 2014
N2 - This study examines the relationship between R&D drivers and firm's age, taking into account the autoregressive nature of innovation.
Using a large longitudinal dataset comprising Spanish manufacturing firms over the period 1990–2008, we find that previous R&D experience is a fundamental determinant for mature and young firms, albeit to a smaller extent in the case of younger firms, suggesting that their innovation behaviour is less persistent and more erratic.
Moreover, our results suggest that firm and market characteristics play a distinct role in boosting the innovation activity of firms of different ages. In particular, while market concentration and the degree of product diversification are found to be important in fostering R&D activities in the subsample of mature firms only, young firms’ spending on R&D appears to be more sensitive to demand-pull variables.
These results have been obtained using a recently proposed dynamic type-2 tobit estimator, which accounts for individual effects and efficiently handles the initial conditions problem.
AB - This study examines the relationship between R&D drivers and firm's age, taking into account the autoregressive nature of innovation.
Using a large longitudinal dataset comprising Spanish manufacturing firms over the period 1990–2008, we find that previous R&D experience is a fundamental determinant for mature and young firms, albeit to a smaller extent in the case of younger firms, suggesting that their innovation behaviour is less persistent and more erratic.
Moreover, our results suggest that firm and market characteristics play a distinct role in boosting the innovation activity of firms of different ages. In particular, while market concentration and the degree of product diversification are found to be important in fostering R&D activities in the subsample of mature firms only, young firms’ spending on R&D appears to be more sensitive to demand-pull variables.
These results have been obtained using a recently proposed dynamic type-2 tobit estimator, which accounts for individual effects and efficiently handles the initial conditions problem.
KW - R&D
KW - dynamic type-2 tobit estimator
KW - innovation
KW - young firms
KW - R&D
KW - dynamic type-2 tobit estimator
KW - innovation
KW - young firms
UR - http://hdl.handle.net/10807/61502
U2 - 10.1016/j.respol.2014.04.003
DO - 10.1016/j.respol.2014.04.003
M3 - Article
SN - 0048-7333
SP - 1544
EP - 1556
JO - Research Policy
JF - Research Policy
ER -