EconPapers    
Economics at your fingertips  
 

Public funding in the academic field of nanotechnology: a multi-agent based model

Nadine Hoser ()
Additional contact information
Nadine Hoser: Bamberg University

Computational and Mathematical Organization Theory, 2013, vol. 19, issue 2, No 7, 253-281

Abstract: Abstract This paper simulates research networks in nanotechnology in Germany and the US. Agent-based modelling is used to analyse how public third-party funding influences the diffusion of a high technology by four different ways of funding. This diffusion is measured by the emerging number of nanoscientists. Next to the size of the national research systems and the number of scientists, the spread of nanotechnology is measured by interdisciplinarity and the probability of changing one’s disciplinary identity. The model is proper for the investigation of other high-technologies. Different ways of funding researchers can, according to the study results, influence the pattern of diffusion of a new technology in academia, in particular in the bigger research system of the US. While results are not significant for Germany, the way of funding researchers has significant effects in the US, with star scientists playing a crucial role for the distribution of public funding.

Keywords: High technology; Nanotechnology; Technology diffusion (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://link.springer.com/10.1007/s10588-013-9158-x Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:comaot:v:19:y:2013:i:2:d:10.1007_s10588-013-9158-x

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10588

DOI: 10.1007/s10588-013-9158-x

Access Statistics for this article

Computational and Mathematical Organization Theory is currently edited by Terrill Frantz and Kathleen Carley

More articles in Computational and Mathematical Organization Theory from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:comaot:v:19:y:2013:i:2:d:10.1007_s10588-013-9158-x