It is widely recognized that a firm's financial behaviour is the result of a complex mix of conditions, both internal and external to the firm; these may affect its investment decisions and its growth opportunities. This paper offers a twofold contribution to the empirical debate on the financing of innovation. First of all, it provides a comprehensive descriptions of possible simultaneous patterns which may affect a firm's relevant dimensions, namely innovation inputs, innovation output, leverage and profitability. By using a Granger-Causality framework we will show that a firm's leverage does not cause innovation output, as proxied by a measure of a firm's successful innovation, while it is rather caused by successful innovation and a firm's operating profitability. The second contribution is an original investigation of the determinants of a firm's capital structure based on a panel of Italian firms which links the third Community Innovation Survey with an administrative data source providing economic and financial information collected from balance sheets and income statements referring to the period 1996-2003. This paper provides support for the pecking order theory as our firms are less indebted when operating profitability increases, but the use of external funding increases with their innovative effort. We also find support for the existence of credit constrains which seem to affect small innovative firms when compared with larger enterprises.

This paper investigates the role of non-technological innovation on firms' innovation propensity and performance. We note that emphasis on technological innovation alone is misleading, as a firm's decision to undertake technological innovation brings about a more complex and general process which may involve new attitudes regarding organization and market orientation. We analyse the relationship between product and marketing innovation in manufacturing, focusing specifically on the food industry. We propose a bivariate probit model in which product and marketing innovation are estimated taking into account their reciprocal interactions. This enables us to provide more efficient and realistic estimates of a firm's probability of introducing either a new or improved product or a new marketing technique. In addition, the proposed model provides the determinants of such probabilities.

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