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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of Urban Eco...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of Urban Economics
Article . 2016 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
SSRN Electronic Journal
Article . 2010 . Peer-reviewed
Data sources: Crossref
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Spillovers, Absorptive Capacity and Agglomeration

Authors: Sergey Lychagin;

Spillovers, Absorptive Capacity and Agglomeration

Abstract

I study knowledge spillovers in an industry where firms are mobile and heterogeneous in their ability to adopt outside knowledge (absorptive capacity). I develop a static model of industry agglomeration where, in equilibrium, the force of attraction induced by spillovers is counteracted by the force of repulsion created by local competition. The model is applied to a sample of the US software firms. I estimate the structural parameters of the model and obtain the following results: (a) The data are consistent with highly localized knowledge spillovers; (b) The attraction force induced by spillovers creates a significant sorting pattern placing firms with higher absorptive capacity in more agglomerated counties; (c) Ignoring firm heterogeneity in absorptive capacity leads to substantially biased estimates of gains from spillovers in policy experiments.

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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!
9
Top 10%
Average
Average
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