The effectiveness of R&D and external interaction for innovation: Insights from quantile regression

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dc.contributor.authorDoran, Justin
dc.contributor.authorRyan, Geraldine
dc.date.accessioned2018-04-19T11:29:16Z
dc.date.available2018-04-19T11:29:16Z
dc.date.issued2016
dc.date.updated2018-04-17T15:10:36Z
dc.description.abstractThis paper utilises censored quantile regression techniques to analyse the impact of various forms of innovation inputs on the innovation output of a sample of Irish firms, using data from the Irish Community Innovation Survey 2008- 2010. While there is a substantial literature on the drivers of innovation, there is a new and growing research interest in the application of quantile regression in the context of innovation. The advantage of quantile regression is that it moves beyond the typical assumption of variation around a mean, and allows for insights into the changing effectiveness of innovation inputs across the full innovation distribution. However, most papers treat innovation output as a continuous variable, when in fact it is more accurate to treat this variable as censored. Therefore, this paper applies a censored quantile regression estimator to evaluate the impact of innovation inputs on innovation output and to assess whether the effectiveness of these inputs varies, depending on how innovative a firm is. The key results of the paper are that both intramural and extramural R&D decline in effectiveness as firms become more innovative. We also find evidence that external networking is more important for less innovative firms.en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationDoran, J. and Ryan, G. (2016) 'The Effectiveness of R&D and External Interaction for Innovation: Insights from Quantile Regression'. Economic Issues, 21 (1):47-65. Available online http://www.economicissues.org.uk/Files/2016/116doran.pdf.en
dc.identifier.endpage65en
dc.identifier.issn1363-7029
dc.identifier.issued1en
dc.identifier.journaltitleEconomic Issuesen
dc.identifier.startpage47en
dc.identifier.urihttps://hdl.handle.net/10468/5828
dc.identifier.volume21en
dc.language.isoenen
dc.publisherNottingham Trent Universityen
dc.relation.urihttp://www.economicissues.org.uk/Files/2016/116doran.pdf
dc.relation.urihttp://www.economicissues.org.uk/Vol21.html
dc.rights© 2016 Economic Issues.en
dc.subjectIrish Community Innovation Surveyen
dc.subjectQuantil regressionen
dc.subjectInnovationen
dc.subjectIrish firmsen
dc.subjectInnovation outputen
dc.titleThe effectiveness of R&D and external interaction for innovation: Insights from quantile regressionen
dc.typeArticle (peer-reviewed)en
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