DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Chang-Yang | ko |
dc.date.accessioned | 2008-04-30T03:15:52Z | - |
dc.date.available | 2008-04-30T03:15:52Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 2002-07 | - |
dc.identifier.citation | JOURNAL OF EVOLUTIONARY ECONOMICS, v.12, no.3, pp.307 - 341 | - |
dc.identifier.issn | 0936-9937 | - |
dc.identifier.uri | http://hdl.handle.net/10203/4293 | - |
dc.description.abstract | This paper aims to examine the nature of the distributions of firm R&D intensities within industries and explore the factors that underlie the industry R&D intensity distributions. In particular, following the seminal study by Cohen and Klepper (1992) and using some new and rich data on firm R&D intensities for seven industries across six countries, this study examines the regularities in the industry R&D intensity distributions and demonstrates, based on a simple model of firm R&D, that the industry R&D intensity distributions are governed by the distributions of technological competence, a measure of firm R&D productivity, which corresponds to the notion of the "unobserved R&D-related capabilities" suggested by Cohen and Klepper (1992). This study found that firm R&D intensities within industries are lognormally distributed, displaying a strikingly regular pattern across industries, that the industry distributions of the levels of technological competence are also lognormal, and that, based on the formal model of firm R&D and the notion of the unobserved R&D-related capabilities, the distribution of firm technological competence within an industry underlies the industry's firm R&D intensity distribution. | - |
dc.language | English | - |
dc.language.iso | en_US | en |
dc.publisher | SPRINGER-VERLAG | - |
dc.title | Industry RD intensity distributions: regularities and underlying determinants | - |
dc.type | Article | - |
dc.identifier.wosid | 000177143600003 | - |
dc.identifier.scopusid | 2-s2.0-0036666021 | - |
dc.type.rims | ART | - |
dc.citation.volume | 12 | - |
dc.citation.issue | 3 | - |
dc.citation.beginningpage | 307 | - |
dc.citation.endingpage | 341 | - |
dc.citation.publicationname | JOURNAL OF EVOLUTIONARY ECONOMICS | - |
dc.embargo.liftdate | 9999-12-31 | - |
dc.embargo.terms | 9999-12-31 | - |
dc.contributor.localauthor | Lee, Chang-Yang | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | R& | - |
dc.subject.keywordAuthor | D intensity distributions | - |
dc.subject.keywordAuthor | lognormal distribution | - |
dc.subject.keywordAuthor | technological competence | - |
dc.subject.keywordPlus | TECHNOLOGICAL OPPORTUNITY | - |
dc.subject.keywordPlus | MARKET-STRUCTURE | - |
dc.subject.keywordPlus | INNOVATION | - |
dc.subject.keywordPlus | SIZE | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.