Artículos con la etiqueta ‘innovaciones’

Transformation Networks: How Innovation and the Availability of Technology can Increase Economic Performance

Por • 31 dic, 2011 • Category: sociologia

A transformation network describes how one set of resources can be transformed into another via technological processes. Transformation networks in economics are useful because they can highlight areas for future innovations, both in terms of new products, new production techniques, or better efficiency. They also make it easy to detect areas where an economy might be fragile. In this paper, we use computational simulations to investigate how the density of a transformation network affects the economic performance, as measured by the gross domestic product (GDP), of an artificial economy. Our results show that on average, the GDP of our economy increases as the density of the transformation network increases. We also find that while the average performance increases, the maximum possible performance decreases and the minimum possible performance increases.

Banking and the Financing of Development: A Schumpeterian and Minskyian perspective

Por • 30 sep, 2011 • Category: Economía

Schumpeterian creation and destruction occurs in finance as well as in products and processes. The essential point of Schumpeter’s view of money and banks is that new combinations in production and in products could not appear without being financed: finance and development are in a symbiotic relation. Restricting the Schumpeterian vision to technology or even industrial organization misses the integrated character of Schumpeter’s vision

Brasil quiere ser una potencia científica

Por • 15 ago, 2011 • Category: Política

«Un gobierno no debe apoyar a la ciencia, sino que debe apoyarse en la ciencia», observó.

Innovation Systems as Patent Networks: The Netherlands, India and Nanotech

Por • 7 ago, 2011 • Category: sociologia

Research in the domain of ‘Innovation Studies’ has been claimed to allow for the study of how technology will develop in the future. Some suggest that the National and Sectoral Innovation Systems literature has become bogged down, however, into case studies of how specific institutions affect innovation in a specific country. A useful notion for policy makers in particular, Balzat & Hanusch (2004) argued that there is a need for NIS studies to develop complementary and also quantitative methods in order to generate new insights that are comparable across national borders. We use data for patents granted by the World Intellectual Property Organization (WIPO) to map innovation systems. Groupings of patents into primary and secondary classes (co-classification) can be used as relational indicators. Knowledge from one class may be more easily used in another class when a co-classification relation exists. Using social network analysis, we map the co-classification of patents among classes and thus indicate what characterizes an innovation system. A main contribution of this paper is methodological, adding to the repertoire of methods NIS studies use and using information from patents in a different way.