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Analyzing efficiency of IP-intensive industries: the case of Korea

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dc.contributor.authorChoi, Seongwook-
dc.contributor.authorShin, Seung Jun-
dc.contributor.authorChoi, Sungchul-
dc.contributor.authorSeo, Wonchul-
dc.date.accessioned2022-07-15T05:15:40Z-
dc.date.available2022-07-15T05:15:40Z-
dc.date.created2021-05-14-
dc.date.issued2016-10-
dc.identifier.issn2185-2766-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/153731-
dc.description.abstractThis study aims to measure the efficiency of Korean industries and compare the efficiency between IP-intensive industries and non-IP-intensive industries in Korea using Propensity Score Matching (PSM) and Data Envelopment Analysis (DEA). To select appropriate Decision Making Units, we use PSM prior to applying DEA. We first measure the extent of the efficiency of IP- and non-IP-intensive industries and then check whether there are statistical differences between them applying Mann-Whiteny U test. As a result, it reveals that the IP-intensive industries show relatively higher efficiency than the non-IP-intensive industries. According to the result, we suggest that Korea government has to establish relative strategies that make full use of high-efficiency ofIP-intensive industries to strengthen the national competitiveness.-
dc.language영어-
dc.language.isoen-
dc.publisherIEEE-
dc.titleAnalyzing efficiency of IP-intensive industries: the case of Korea-
dc.typeArticle-
dc.contributor.affiliatedAuthorShin, Seung Jun-
dc.identifier.doi10.24507/icicelb.07.10.2241-
dc.identifier.scopusid2-s2.0-84989965628-
dc.identifier.bibliographicCitationICIC Express Letters, Part B: Applications, v.7, no.10, pp.2241 - 2246-
dc.relation.isPartOfICIC Express Letters, Part B: Applications-
dc.citation.titleICIC Express Letters, Part B: Applications-
dc.citation.volume7-
dc.citation.number10-
dc.citation.startPage2241-
dc.citation.endPage2246-
dc.type.rimsART-
dc.type.docType정기학술지(Article(Perspective Article포함))-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordPlusDecision making unit-
dc.subject.keywordPlusEfficiency analysis-
dc.subject.keywordPlusHigh-efficiency-
dc.subject.keywordPlusHigher efficiency-
dc.subject.keywordPlusNational competitiveness-
dc.subject.keywordPlusPropensity score matching-
dc.subject.keywordPlusStatistical differences-
dc.subject.keywordAuthorData envelopment analysis-
dc.subject.keywordAuthorEfficiency analysis-
dc.subject.keywordAuthorIntellectual Property-intensive industry-
dc.subject.keywordAuthorPropensity score matching-
dc.identifier.urlhttp://www.icicelb.org/ellb/contents/2016/10/elb-07-10-25.pdf-
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SCHOOL OF INDUSTRIAL INFORMATION STUDIES (DIVISION OF INDUSTRIAL INFORMATION STUDIES)
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