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on Knowledge Management and Knowledge Economy |
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Issue of 2010‒08‒21
three papers chosen by Laura Stefanescu European Research Centre of Managerial Studies in Business Administration |
| By: | Roberta Piergiovanni (Istat-Ufficio Regionale per l’Emilia-Romagna); Enrico Santarelli (JRC-IPTS) |
| Abstract: | This paper provides evidence on the mechanisms influencing the patent output of a sample of biotechnology firms from the input of indirect knowledge acquired from capital expenditures and direct knowledge from in-house R&D. Statistical models of counts are used to analyse the relationship between patent applications and R&D investment and capital expenditures. It focuses on biotechnology in the period 2002-2007 and is based on a unique data set drawn from various sources including the EU Industrial R&D Investment Scoreboard, the European Patent Office (EPO), the US Patent and Trademark Office (USPTO), and the World Intellectual Property Organisation (WIPO/PCT). The statistical models employed in the paper are Poisson distribution generalisations with the actual distribution of patent counts fitting the negative binomial distribution and gamma distribution very well. Findings support the idea that capital expenditures – taken as equivalent to technological change embodied in new machinery and capital equipment - may also play a crucial role in the development of new patentable items from scientific companies. For EPO patents, this role appears even more important than that played by R&D investment. The overall picture emerging from our analysis of the determinants of patenting in biotechnology is that the innovation process involves a well balanced combination of inputs from both R&D and new machinery and capital equipment. |
| Keywords: | Patents, R&D, Capital expenditure, Poisson models, Biotechnology |
| JEL: | L25 L65 O34 |
| Date: | 2010–07 |
| URL: | http://d.repec.org/n?u=RePEc:ipt:wpaper:201006&r=knm |
| By: | Michael Fritsch (School of Economics and Business Administration, Friedrich-Schiller-University Jena); Luis F. Medrano (Friedrich Schiller University Jena, School of Economics and Business Administration) |
| Abstract: | We analyze the spatial diffusion of knowledge in laser technology in West Germany from 1960, when this technology began, until 2005. Laser technology research has been nearly exclusively conducted in regions that are home to a university with a physics or electrical engineering department, an indication of the science-based character of the technology. Early adoption of laser knowledge was especially prevalent in large agglomerations. While we cannot detect knowledge spillovers from adjacent regions, geographic proximity to the center of initial laser research was conducive to early adoption of laser research; however, the effect is small. The earlier a region embarked on this type of research, the higher the level of laser research later, indicating the accumulation of knowledge generated in previous periods. Our results highlight the role of a region's absorptive capacity for commencing and conducting research in a new technological field. In the case of laser technology, it was more the level of existing tacit knowledge than an interregional transfer of tacit knowledge that played an important role. |
| Keywords: | Innovation, regional innovation systems, knowledge, spatial diffusion, laser technology |
| JEL: | R11 O33 O52 |
| Date: | 2010–08–04 |
| URL: | http://d.repec.org/n?u=RePEc:jrp:jrpwrp:2010-048&r=knm |
| By: | Herrmann-Pillath, Carsten |
| Abstract: | Recently, the maximum entropy principle has been applied to explain the evolution of complex non-equilibrium systems, such as the Earth system. I argue that it can also be fruitfully deployed to reconsider the classical treatment of entropy in economics by Georgescu-Roegen, if the growth of knowledge is seen as a physical process. Relying on central categories of Peirce's theory of signs, I follow the lines of a naturalistic evolutionary epistemology. In this framework, the three principles of Maximum Entropy (Jaynes), Maximum Power (Lotka) and Maximum Entropy Production can be arranged in a way such that evolution can be conceived as a process that manifests the physical tendency to maximize information generation and information capacity. This implies that the growth of knowledge is the dual of the process of entropy production. This theory matches with recent empirical research showing that economic growth can be tracked by measures of the throughput of useful work, mediated by the thermodynamic efficiency of the conversion of exergy into useful work. -- |
| Keywords: | Peirce,Georgescu-Roegen,maximum entropy,maximum power,natural selection,semeiosis,physical inference devices,economic growth,useful work |
| JEL: | B52 D80 Q57 |
| Date: | 2010 |
| URL: | http://d.repec.org/n?u=RePEc:zbw:fsfmwp:146&r=knm |