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dc.contributor.author이창준-
dc.date.accessioned2022-05-11T08:02:52Z-
dc.date.available2022-05-11T08:02:52Z-
dc.date.issued2022-04-
dc.identifier.citationTECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, Page. 1-8en_US
dc.identifier.issn0040-1625-
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0040162522002013-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/170772-
dc.description.abstractKnowledge recombination, combining knowledge existing (exploitation) or new knowledge capacity (explora- tion) for creating knowledge collaboration, is one of the important ways of achieving innovation. However, little has known about how the knowledge recombination types affect differently to production efficiency at a regional level. This study explores the relationship between the knowledge recombination types of exploitation and exploration and regional technical efficiency by using the empirical data sets combining EPO PATSTAT, Eurostat, and Cambridge Econometrics regional database. For this purpose, three stages of analysis have been deployed. Firstly, CPC co-occurrence network analysis and relative comparative advantage (RCA) measures are used to construct knowledge space and measure regional capacity. Then, using the stochastic frontier analysis, the production efficiencies of the European NUTS 2 regions are measured. With all estimated measures, the effects of both exploration and exploitation of knowledge recombination on regional production efficiencies are estimated. The results show the positive effect of exploration on regional production efficiency, which highlights the importance of extending the range and variety of knowledge bases.en_US
dc.description.sponsorshipDieter F. Kogler, Changjun Lee & Hyunha Shin acknowledge funding from the European Research Council under the European Union’s Ho- rizon 2020 Research and Innovation Programme [grant agreement number 715631, ERC TechEvo]. Dieter F. Kogler & Keungoui Kim acknowledge funding from the Science Foundation Ireland (SFI) under the SFI Science Policy Research Programme [grant agreement number 17/SPR/5324, SciTechSpace].en_US
dc.language.isoenen_US
dc.publisherELSEVIER SCIENCE INCen_US
dc.subjectKnowledge recombinationen_US
dc.subjectRegional productivityen_US
dc.subjectProductivity efficiencyen_US
dc.subjectCPC co-occurrence networken_US
dc.subjectRevealed comparative advantageen_US
dc.subjectStochastic frontier analysisen_US
dc.titleThe effects of regional capacity in knowledge recombination on production efficiencyen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.techfore.2022.121669-
dc.relation.page1-8-
dc.relation.journalTECHNOLOGICAL FORECASTING AND SOCIAL CHANGE-
dc.contributor.googleauthorLee, Changjun-
dc.contributor.googleauthorShin, Hyunha-
dc.contributor.googleauthorKim, Keungoui-
dc.contributor.googleauthorKogler, Dieter F.-
dc.relation.code2022033287-
dc.sector.campusE-
dc.sector.daehakCOLLEGE OF COMMUNICATION[E]-
dc.sector.departmentDEPARTMENT OF MEDIA & SOCIAL INFORMATICS-
dc.identifier.pidchangjunlee-
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