Cross-sectoral differences in the drivers of innovation: evidence from the Irish Community Innovation Survey

Show simple item record Doran, Justin Jordan, Declan 2016-10-28T09:38:15Z 2016-10-28T09:38:15Z 2016
dc.identifier.citation Doran, J. and Jordan, D. (2016) ‘Cross-sectoral differences in the drivers of innovation’, Journal of Economic Studies, 43(5), pp. 719-748. doi: 10.1108/JES-10-2014-0171 en
dc.identifier.volume 43 en
dc.identifier.issued 5 en
dc.identifier.startpage 719 en
dc.identifier.endpage 748 en
dc.identifier.issn 0144-3585
dc.identifier.doi 10.1108/JES-10-2014-0171
dc.description.abstract Purpose: The purpose of this paper is to analyse differences in the drivers of firm innovation performance across sectors. The literature often makes the assumption that firms in different sectors differ in their propensity to innovate but not in the drivers of innovation. The authors empirically assess whether this assumption is accurate through a series of econometric estimations and tests. Design/methodology/approach: The data used are derived from the Irish Community Innovation Survey 2004-2006. A series of multivariate probit models are estimated and the resulting coefficients are tested for parameter stability across sectors using likelihood ratio tests. Findings: The results indicate that there is a strong degree of heterogeneity in the drivers of innovation across sectors. The determinants of process, organisational, new to firm and new to market innovation varies across sectors suggesting that the pooling of sectors in an innovation production function may lead to biased inferences. Research limitations/implications: The implications of the results are that innovation policies targeted at stimulating innovation need to be tailored to particular industries. One size fits all policies would seem inappropriate given the large degree of heterogeneity observed across the drivers of innovation in different sectors. Originality/value: The value of this paper is that it provides an empirical test as to whether it is suitable to group sectoral data when estimating innovation production functions. Most papers simply include sectoral dummies, implying that only the propensity to innovate differs across sectors and that the slope of the coefficient estimates are in fact consistent across sectors. en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Emerald Group Publishing Limited en
dc.rights © 2016, Emerald Group Publishing Limited. This is an author-created, un-copyedited version of an article accepted for publication in the Journal of Economic Studies. The Version of Record is available online at en
dc.subject Innovation en
dc.subject Community Innovation Survey en
dc.subject Sector en
dc.title Cross-sectoral differences in the drivers of innovation: evidence from the Irish Community Innovation Survey en
dc.type Article (peer-reviewed) en
dc.internal.authorcontactother Declan Jordan, Economics, University College Cork, Cork, Ireland. +353-21-490-3000 Email: en
dc.internal.availability Full text available en
dc.description.version Accepted Version en
dc.description.status Peer reviewed en
dc.identifier.journaltitle Journal of Economic Studies en

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