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dc.contributor.author
Arvanitis, Spyros
dc.contributor.author
Seliger, Florian
dc.contributor.author
Wörter, Martin
dc.date.accessioned
2017-10-18T14:30:50Z
dc.date.available
2017-06-12T13:48:31Z
dc.date.available
2017-10-18T14:30:50Z
dc.date.issued
2016-10
dc.identifier.uri
http://hdl.handle.net/20.500.11850/121290
dc.identifier.doi
10.3929/ethz-a-010737115
dc.description.abstract
We propose a new patent-based measure of knowledge spillovers that calculates technological proximity based on firms that were identified via patent backward citations links. We argue that this measure has a couple of advantages as compared to the 'standard' measure proposed by Jaffe: First, it reflects spillovers from both domestic and foreign technologically 'relevant' firms, second, it is more precise because it only takes into account knowledge relations with technologically 'relevant' firms. Our empirical results indeed show that the measure performs better than the standard measure in an innovation model. We find - for a representative sample of Swiss firms - that knowledge spillovers measured in this way have a positive and significant impact on innovation success. However, the knowledge spillovers appear to be localized: Spillovers from geographically distant areas such as the USA and Japan matter less than spillovers from near destinations such as Europe and particularly Switzerland itself. Moreover, the spillover effect on innovation performance decreases with increasing number of competitors on the main product market so that this effect would appear only in niche markets or oligopolistic market structures. However, an additional effect of competition can only be detected for more radical innovation success.
en_US
dc.format
application/pdf
dc.language.iso
en
en_US
dc.publisher
KOF Swiss Economic Institute, ETH Zurich
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
PATENTDOKUMENTATION + PATENTINFORMATION
en_US
dc.subject
KNOWLEDGE MANAGEMENT
en_US
dc.subject
WISSENSMANAGEMENT
en_US
dc.subject
PATENT DOCUMENTATION + PATENT INFORMATION
en_US
dc.subject
WIRTSCHAFTLICHER WETTBEWERB
en_US
dc.subject
TECHNOLOGISCHE UND WISSENSCHAFTLICHE INNOVATIONEN
en_US
dc.subject
ECONOMIC COMPETITION
en_US
dc.subject
Knowledge Spillovers
en_US
dc.subject
Innovation Success
en_US
dc.subject
Knowledge Capital
en_US
dc.subject
Competition
en_US
dc.subject
Patent Citations
en_US
dc.subject
TECHNOLOGICAL AND SCIENTIFIC INNOVATIONS
en_US
dc.title
Knowledge Spillovers and their Impact on Innovation Success - A New Approach Using Patent Backward Citations
en_US
dc.type
Working Paper
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2016
ethz.journal.title
KOF Working Papers
ethz.journal.volume
414
en_US
ethz.size
48 p.
en_US
ethz.code.ddc
DDC - DDC::3 - Social sciences::330 - Economics
en_US
ethz.identifier.nebis
010737115
ethz.publication.place
Zürich
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02120 - Dep. Management, Technologie und Ökon. / Dep. of Management, Technology, and Ec.::02525 - KOF Konjunkturforschungsstelle / KOF Swiss Economic Institute
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02120 - Dep. Management, Technologie und Ökon. / Dep. of Management, Technology, and Ec.::02525 - KOF Konjunkturforschungsstelle / KOF Swiss Economic Institute
ethz.date.deposited
2017-06-12T13:54:25Z
ethz.source
ECOL
ethz.source
ECIT
ethz.identifier.importid
imp59366b9dedc3350327
ethz.identifier.importid
imp593654c400a1391078
ethz.ecolpid
eth:49794
ethz.ecitpid
pub:183384
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-13T06:36:55Z
ethz.rosetta.lastUpdated
2021-02-14T19:30:06Z
ethz.rosetta.versionExported
true
ethz.COinS
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