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This paper uses a comprehensive firm level data set for the manufacturing sector in Italy to investigate the effect of government support on privately financed R&D expenditure. Estimates from a non-parametric matching procedure suggest that public assistance has a positive effect on private R&D investment in the sense that the recipient firms achieve more private R&D than they would have without public support. This indicates that the possibility of perfect crowding out between private and public funds can be rejected. Furthermore, in this sample of Italian firms, tax incentives appear to be more effective than direct grants. The paper also examines whether public funding affects the financial sources available for R&D and finds that grants encourage the use of internal sources. The results also show some evidence of positive effects on credit financing for R&D.non-parametric estimation, public subsidies, R&D investment,

This work uses a sample of firm‐level data from seven EU countries to explore the possible roles of simultaneity and heterogeneity in determining firms' decisions to engage in three types of innovation. Process, product, and organizational innovations are considered jointly, by applying a multivariate probit specification. The results support the hypothesis that the three innovation decisions are interdependent. This has straightforward implications for the practice of R&D managers. In order to gain advantages from an innovation, innovation managers need to jointly exploit these different types of innovation activities and their potential synergies. Given that the innovative firms in the sample, desire additional credit which actually they do not obtain, R&D managers should also be concerned with the financing sources firms have access to. Finally, from the analysis it also emerges that public support boost all the three forms of innovation.

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