Auteur :
Lenz-Cesar
Flávio,
Heshmati
Almas
Date de publication : 08/11/2009
Type : Article
Thème : Recherche et développement
R&D cooperation has received great attention among industrialists, decision makers and researchers as it facilitates research collaboration, information sharing, reduced R&D cost, and affects R&D resource allocation, advancement and competitiveness of the national industry, employment and survival of firms. This paper introduces an econometric approach for identifying the factors that lead firms to cooperative innovation. The determinants of firms cooperation in innovation were defined according to empirical findings on a dataset from the internationally standardized Korean Innovation Survey 2005, captured in a multivariate probit regression model. The model identified the determinants on firms’ likelihood to participate in cooperation with other organizations when conducting innovation activities. The aim of this model was to subsidize further research applying agent-based modeling to simulate innovation networks in the Korean manufacturing sector in order to test different policy strategies on fostering cooperation in innovation.