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dc.date.accessioned2016-10-27T09:21:36Z
dc.date.available2017-10-11T22:31:02Z
dc.date.created2016-10-26T11:09:48Z
dc.date.issued2016
dc.identifier.citationEnger, Simen Castellacci, Fulvio . Who gets Horizon 2020 research grants? Propensity to apply and probability to succeed in a two-step analysis. Scientometrics. 2016
dc.identifier.urihttp://hdl.handle.net/10852/52960
dc.description.abstractThis paper presents a timely analysis of participation in the 8th European Framework Programme for Research and Innovation (EU FP) Horizon 2020. Our dataset comprises the entire population of research organizations in Norway, enabling us to distinguish between non-applicants, non-successful applicants, and successful participants. We find it important to distinguish two stages of the participation process: the self-selection stage in which organizations decide whether they wish to apply for EU funding, and the second stage in which the European Commission selects the best applications for funding. Our econometric results indicate that the propensity to apply is enhanced by prior participation in EU FPs and the existence of complementary national funding schemes; further, that the probability of succeeding is strengthened by prior participation as well as the scientific reputation of the applicant organization. The final publication is available at Springer via http://dx.doi.org/10.1007/s11192-016-2145-5en_US
dc.languageEN
dc.language.isoenen_US
dc.publisherElsevier Science
dc.titleWho gets Horizon 2020 research grants? Propensity to apply and probability to succeed in a two-step analysisen_US
dc.typeJournal articleen_US
dc.creator.authorEnger, Simen
dc.creator.authorCastellacci, Fulvio
cristin.unitcode185,17,0,0
cristin.unitnameDet samfunnsvitenskapelige fakultet
cristin.ispublishedfalse
cristin.fulltextpostprint
cristin.qualitycode1
dc.identifier.cristin1394622
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Scientometrics&rft.volume=&rft.spage=&rft.date=2016
dc.identifier.jtitleScientometrics
dc.identifier.doihttp://dx.doi.org/10.1007/s11192-016-2145-5
dc.identifier.urnURN:NBN:no-56295
dc.type.documentTidsskriftartikkelen_US
dc.type.peerreviewedPeer reviewed
dc.source.issn0138-9130
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/52960/1/Accepted-version-Enger-Castellacci-282016-29.pdf
dc.type.versionAcceptedVersion


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