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on Knowledge Management and Knowledge Economy |
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Issue of 2014‒10‒03
four papers chosen by Laura Ştefănescu Centrul European de Studii Manageriale în Administrarea Afacerilor |
| By: | Sidonia von Proff (Economic Geography and Location Research, Philipps-University, Marburg); Rafael Lata (Foresight and Policy Development Department, Austrian Institute of Technology (AIT), Vienna); Thomas Brenner (Economic Geography and Location Research, Philipps-University, Marburg) |
| Abstract: | Today it is generally accepted that innovation, knowledge creation, and the diffusion of new knowledge are crucial factors for economic growth at the regional, national, as well as supra-national level, and that successful innovation is increasingly based on interactions and collaborative research activities between research actors. This study focuses on diverse dimensions of distance shaping R and D collaborations in Europe and the US during the time period 1999 to 2009. We take a comparative perspective by analyzing two different R and D collaboration networks (patents and publications) and two different economic areas, namely Europe and the US, in order to examine differences in collaboration activities. In particular, we investigate how the collaboration intensity between regions has been influenced by spatial, technological, and cultural distance and whether these distances have lost importance over time in the distinct networks. The study adopts a panel spatial interaction modeling perspective. In doing so, we explicitly take account of spatial autocorrelation issues of flows by means of Eigenvector spatial filtering techniques. European coverage is achieved by using 1260 NUTS-3 regions of the 25 pre-2007 EU member-states, as well as Norway and Switzerland. The US coverage is attained by using 955 core based statistical areas (CBSAs). The results reveal how collaborative knowledge creation and the spatial range of knowledge diffusion differs between Europe and the US, and provide direct evidence on the differences in cooperation patterns between different types of collaborative R and D from a longitudinal and comparative perspective |
| Keywords: | R and D Networks, Patents, Publications, Spatial Interaction Modeling, Eigenvector Spatial Filtering, distance |
| JEL: | C23 O38 L14 R15 |
| Date: | 2014–09–14 |
| URL: | http://d.repec.org/n?u=RePEc:pum:wpaper:2014-04&r=knm |
| By: | Fassio, Claudio; Geuna, Aldo; Rossi, Federica (University of Turin) |
| Abstract: | There is little evidence on the specific characteristics of the process of university-industry knowledge transfer leading to the generation of valuable inventions. Using the results of an original survey of industry inventors of European patents, resident in the Italian region of Piedmont, we analyze what determines the value of inventions that have benefited from academic knowledge. We find that inventors with greater cognitive proximity to the university and higher patenting output are more likely to interact with universities and to benefit from u niversity knowledge. After controlling for the characteristics of firms and technologies, we find that it is the transfer of theoretical academic knowledge rather than solutions to more technical and specified problems that leads to more valuable inventions. We found some evidence that knowledge transfer processes involving direct personal collaboration between the company inventor and the university researcher (which are characterized by higher trust as a result of social network embeddedness) are conducive to relatively higher value inventions. |
| Date: | 2014–07 |
| URL: | http://d.repec.org/n?u=RePEc:uto:labeco:201408&r=knm |
| By: | Andrés Rodríguez-Pose; Edna MaríaVillarreal Peralta |
| Abstract: | This paper looks at the factors driving regional growth in Mexico, paying special attention to the potentially growth-enhancing role of innovation and innovation policy. The analysis combines innovation variables with indicators linked to the formation of adequate social conditions for innovation (the social filter), and spillovers for 31 Mexican states and the Mexico City capital district (the Distrito Federal) during the period 2000-2010. The results indicate that regional economic growth across Mexican states stems from direct investment in R&D in areas with favorable social filters and which can benefit not only from knowledge spillovers, but also from being surrounded by rich neighbors with good social conditions. The results stress that, although Mexican innovation policy has been relatively well targeted in order to generate greater economic growth, its relatively modest size may have undermined the attainment of its main objectives. |
| Keywords: | economic growth, innovation, social economic conditions, regional convergence, Mexico |
| JEL: | R11 R12 O32 O33 |
| Date: | 2014–08 |
| URL: | http://d.repec.org/n?u=RePEc:egu:wpaper:1417&r=knm |
| By: | Oscar Mauricio Valencia |
| Abstract: | This paper examines an endogenous growth model with occupational choice in which innovators produce ideas. Each innovator has private knowledge of their production costs. Developers offer innovators non-linear contract schemes that affect the number of active innovators and the economic growth rate. Two main results are obtained. First, the equilibrium contract under asymmetric information leads to the selection of highly-talented workers in R&D activities and higher profits for developers. Second, the efficiency-rent extraction tradeoff lowers the economic growth rate with respect to the full information case. Classification JEL: 031, 033, D82. |
| Date: | 2014–09 |
| URL: | http://d.repec.org/n?u=RePEc:bdr:borrec:845&r=knm |