Knowledge production in nanomaterials : an application of spatial filtering to regional systems of innovation


Grimpe, Christoph ; Patuelli, Roberto


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URL: http://ub-madoc.bib.uni-mannheim.de/2096
URN: urn:nbn:de:bsz:180-madoc-20964
Document Type: Working paper
Year of publication: 2008
The title of a journal, publication series: None
Publication language: English
Institution: Sonstige Einrichtungen > ZEW - Leibniz-Zentrum für Europäische Wirtschaftsforschung
MADOC publication series: Veröffentlichungen des ZEW (Leibniz-Zentrum für Europäische Wirtschaftsforschung) > ZEW Discussion Papers
Subject: 330 Economics
Classification: JEL: L60 O32 ,
Subject headings (SWD): Deutschland , Nanotechnologie , Wissenschaftstransfer , Forschungskooperation , Patent , Industrieforschung , Agglomeration <Wirtschaft>
Keywords (English): nanotechnology , innovation , patents , Germany , spatial autocorrelation , spatial filtering
Abstract: Nanomaterials are seen as a key technology for the 21st Century, and much is expected of them in terms of innovation and economic growth. They could open the way to many radically new applications, which would form the basis of innovative products. In this context, it seems all the more important for regions to put their own innovation systems in place, and to ensure that they offer a suitable location for such activities in order to benefit from the expected growth. Many regions have already done so by establishing ‘science parks’ and ‘nanoclusters’. As nanomaterials are still in their infancy, both public research institutes and private businesses could play a vital role in the process. This paper investigates what conditions and configurations allow a regional innovation system to be competitive in a cutting-edge technology like nanomaterials. We analyse European Patent Office data at the German district level (NUTS-3) on applications for nanomaterial patents, in order to chart the effects of localised research and development (R&D) in the public and private sector. We estimate two negative binomial models in a knowledge production function framework and include a spatial filtering approach to adjust for spatial effects. Our results indicate that there is a significant positive effect of both public and private R&D on the production of nanomaterial patents. Moreover, we find a positive interaction between them which hints at the importance of their co-location for realising the full potential of an emerging technology like nanomaterials.
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