000101627 001__ 101627
000101627 005__ 20230519145428.0
000101627 0247_ $$2doi$$a10.1016/j.jclepro.2021.126690
000101627 0248_ $$2sideral$$a123965
000101627 037__ $$aART-2021-123965
000101627 041__ $$aeng
000101627 100__ $$aCalvo-Gallardo, E.
000101627 245__ $$aAnalysis of the European energy innovation system: contribution of the framework programmes to the EU policy objectives
000101627 260__ $$c2021
000101627 5060_ $$aAccess copy available to the general public$$fUnrestricted
000101627 5203_ $$aThis study analyses the properties of the networks constructed by the funded energy-related research consortia to assess their support to the objectives of the European Union’s energy technologies and research policies. By developing research consortia, partners and projects are linked to form a network that generates relationship networks (innovation systems). Although many authors assessed this innovation system from different perspectives, few studies aim to identify the properties of its networks. From the innovation systems perspective, this study fills this gap in the literature by applying Social Network Analysis to determine the network cohesion properties and the centrality measures of its nodes, thereby enlarging the innovation systems literature in the field of modelling and performance assessment. The results indicate that the effectiveness of the innovation systems depends on the geographical distribution of the consortia and the diversity of the participants, revealing significant performance differences in each of the research fields within the energy programme. Based on these conclusions, this paper provides recommendations for policymakers and participants in these European research programmes.
000101627 536__ $$9info:eu-repo/grantAgreement/ES/MCIU-CDTI/CER-20191002 RED CERVERA
000101627 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000101627 590__ $$a11.072$$b2021
000101627 592__ $$a1.921$$b2021
000101627 594__ $$a15.8$$b2021
000101627 591__ $$aGREEN & SUSTAINABLE SCIENCE & TECHNOLOGY$$b5 / 47 = 0.106$$c2021$$dQ1$$eT1
000101627 593__ $$aEnvironmental Science (miscellaneous)$$c2021$$dQ1
000101627 591__ $$aENVIRONMENTAL SCIENCES$$b24 / 279 = 0.086$$c2021$$dQ1$$eT1
000101627 593__ $$aStrategy and Management$$c2021$$dQ1
000101627 591__ $$aENGINEERING, ENVIRONMENTAL$$b9 / 55 = 0.164$$c2021$$dQ1$$eT1
000101627 593__ $$aIndustrial and Manufacturing Engineering$$c2021$$dQ1
000101627 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000101627 700__ $$aArranz, N.
000101627 700__ $$aFernández de Arroyabe, J.C.
000101627 773__ $$g298 (2021), 126690 [16 pp]$$pJ. clean. prod.$$tJournal of Cleaner Production$$x0959-6526
000101627 8564_ $$s548471$$uhttps://zaguan.unizar.es/record/101627/files/texto_completo.pdf$$yVersión publicada
000101627 8564_ $$s2891989$$uhttps://zaguan.unizar.es/record/101627/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000101627 909CO $$ooai:zaguan.unizar.es:101627$$particulos$$pdriver
000101627 951__ $$a2023-05-18-14:14:24
000101627 980__ $$aARTICLE

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