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Journal of Urban Economics
Article . 2009 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Research . 2005
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EconStor
Research . 2005
Data sources: EconStor
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Research . 2008
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Labor pooling in R&D intensive industries

Authors: Gerlach, Heiko; Rønde, Thomas; Stahl, Konrad;

Labor pooling in R&D intensive industries

Abstract

We investigate firms’ incentives to locate in the same region to gain access to a large pool of skilled labor. Firms engage in risky R&D activities and thus create stochastic product and implied labor demand. Agglomeration in a cluster is more likely in situations where the innovation step is large and the probability for a firm to be the only innovator is high. When firms cluster, they tend to invest more and take more risk in R&D compared to spatially dispersed firms. Agglomeration is welfare maximizing, because expected labor productivity is higher and firms choose a more effcient, technically diversified portfolio of R&D projects at the industry level.

Countries
Australia, Germany, Denmark
Keywords

Facharbeiter, Economics and Econometrics, L13, O32, Forschung, 330, ddc:330, Betriebliche Standortwahl, R12, Urban Studies, Betriebliche Forschung, Regionale Konzentration, agglomeration; labour pooling; R&D, Deutschland, Theorie, Schätzung, jel: jel:L13, jel: jel:O32, jel: jel:R12

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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36
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33
113
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