The Chemical Sector al System. Firms, markets, institutions and the processes of knowledge creation and diffusion

According to the Sectoral Systems of Innovation and Production approach, the analysis of a specific sector has to describe its knowledge and technological base, existing complementarities among knowledge, technologies and products, the heterogeneity of agents, their learning processes and competencies, the role of non-firm organisations, and the presence of (co)evolutionary processes. This study applies this theoretical framework to the chemical industry, and examines evolution and co-evolution processes that have characterised this industry over its 200 years history. It emerges a strong dichotomy in industry dynamics. On the one hand, big discontinuities can be observed in knowledge and technological dimensions, which implied a major change in industry structure and a growing division of labour at the industry level. On the other hand, a big continuity can be observed as well, mainly in companies life. Indeed, one important feature of the chemical industry is that between small and large companies, markets, research institutions and other organisations there has been a continuous process of co-evolution, with firms playing the central role within the chemical system.Chemical Industry, Industry Dynamics, Networks, Markets for Technology, Division of Innovative Labour, Networks of Inventors, Patents, Technology Licensing.

Regional dispersion of cooperation activities as success factor of innovation oriented SME

In this paper, we analyze the relationships between different types of innovation and collaboration, given the varying geographical distance of the latter. The study is based on the data of the research project 'KompNet 2011 - Factors determining the success of regional innovation networks', which examines the innovation activities of small and medium-sized enterprises (SME) in and closely around Jena (Thuringia). The aim of this paper is to explore to what extent spatial reach of collaboration linkages determines innovation orientation and innovative behavior. That means: Innovation performance could be positively related to (a) to a high intensity of local collaboration, (b) the intensity of international collaboration or (c) neither regional nor (inter)national collaborations. In a first step we summarize the relevant literature which comprises aspects of our central subject under investigation. We additionally discuss the necessity of keeping in mind several control variables for theoretical and empirical reasons. In the following we present descriptive analyses relating to the regional reach of collaboration in general, the impact of collaboration on innovation and the links between the regional reach of cooperation and different forms of innovation, i.e. product, process, marketing and organizational innovation. In a final step we discuss the results of several regression models. We observe that there is no significant influence of the geographical variables on the innovative performance of SME. Therefore our findings suggest that innovative firms rely on collaboration partners at a variety of spatial distances. The results also show a significant and positive influence of the intensity of competition on the innovativeness of firms in all models. Furthermore product- and process innovations are created by firms with intensive cooperative activities to scientific institutions, while a wide variety of cooperation partners and a strong focus on quality leadership turns out to be important for the development of marketing- and organizational innovations. --cooperation,geographical reach,innovation,intensity of competition,marketing innovation,organizational innovation,process innovation,product innovation,quality leadership,regional dispersion,SME,spatial distance

Knowledge Transfer in the Mirror: Reflections on the Determinants of Research Groups and Companies Collaborative Patterns within Andalusia's Regional Innovation System

Knowledge transfer is a crucial aspect for the new paradigm of science-industry cooperation. The new role of universities and the relevance of external knowledge to firm's competitiveness brought a huge attention to this process both in analytical and decision-making terms. Commonly, formal mechanisms as intellectual property rights licensing, research contracts and spinning-off are the focus of the policy interventions and studies but the role of informality is being underlined by several recent research results. This article explores the crucial factors that induce science and industry collaborations in Andalusia, a catching-up region in Spanish and European context. The study uses limited dependent and count data regression analysis based in a survey applied in parallel to research groups and firms. The estimated regressions create a mirror image between these two institutional spheres stressing aspects that are more relevant in each reality to stimulate the existence, number, diversity and informality of knowledge transfer. The results give relevant insights for policies to stimulate knowledge transfer in technology moderate intensive South European regions.

Towards a multipolar science world: Trends and impact.

This paper brings together recent statistical evidence on international (co-)publications and (foreign) PhD-students and scholars to document shifts in geographic sources of scientific production and their impact. The evidence demonstrates that despite the continued dominance of the US and the increasing importance of the EU, the TRIAD is in relative decline. Other geographic sources of science outside the TRIAD are rising, both in quantity, but also, although still to a lesser extent, in quality. Especially China drives this non-TRIAD growth. This catch-up of non-TRIAD countries drives a slow but real process of global convergence. It nevertheless leaves a less equal non-TRIAD science community, as the growth of China, is not matched by other non-TRIAD countries. Despite the rise of China’s own scientific production, and the increasing return flows of overseas students and scholars, the outward flows of Asean talents have not diminished over time. The data suggest a high correlation between the patterns of international mobility of scientists and the patterns of international collaborations. The large and stable flow of Chinese human capital into the US forms the basis on which stable international US-Chinese networks are built. With the EU lacking this Chinese human capital circulation, it is more difficult to build up similar strong and stable networks.