We show for a widely-used class of models for strategic R&D that optimally subsidizing cooperative R&D or noncooperative R&D leads to the same level of private R&D investments. We then highlight the limitations of the framework that are responsible for this finding and conclude that policy...

The objective of the paper is to develop a method through which we can identify the actors (industrial, institutional and individual) who are active in technology development in the same or similar knowledge fields. The paper is, thus, aimed to make a methodological contribution to the...

The paper presents an in-depth investigation on a promising innovation, kervit, in the histolical context of the booming ceramic industrial district of SassuoloScandiano (Emilia-Romagna region in Italy). The kervit was introduced and patented by a brilliant inventor operating within, and then...

Drawing upon the innovative milieux and industrial districts literature, the paper provides substantial empirical evidence that firms have a greater chance of being innovative if they co-operate with other firms over innovation, albeit undertaking no investment in RLD. This is an important...

This paper computes private and social rates of return to R&D capital in the three vertically linked sectors, primary agriculture, food processing, and the farm machinery in the United States. Using a cost function approach, the private rates of return to R&D ranged from an average of 21.5% per...

This paper investigates the impact of modern information and communication technologies on the demand for heterogeneous labor. It starts with an interrelated factor demand system. The 'desired' level of employment which is needed in such models, is derived from a Generalized Leontief cost...

The aim of this paper is to investigate the relationship between R&D expenditure and investment in machinery and equipment in order to test for causality. New growth theory emphasises the role of R&D in creating blueprints needed to produce new capital goods implicitly assuming causality running...