Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/23202
DC FieldValueLanguage
dc.contributorManagement International Review, 45(3), 519-546-
dc.creator莊奕琦;Liu, Hsiao-Lan ; Lin, sin-Yi ; Peng, Shin-Kunzh_TW
dc.date2002-06en_US
dc.date.accessioned2009-01-09T03:41:11Z-
dc.date.available2009-01-09T03:41:11Z-
dc.date.issued2009-01-09T03:41:11Z-
dc.identifier.urihttps://nccur.lib.nccu.edu.tw/handle/140.119/23202-
dc.description.abstractThe literature of new growth theory regards Research and Development (R&D) as a crucial factor in economic growth. This is because R&D not only improves production technology, but also because of its significant externality (spillover) effects on other firms. This paper employs the model developed by Berliant et al. (J Econ Theory 104:275–303, 2002) to examine the externality of R&D within industries closely associated with the spatial distribution pattern of firms in Taiwan’s Metropolitan Areas. Both the mean travel time (to represent the distances) and an overall dispersion are incorporated in this examination of the externality effect. The paper also employs quantile regression techniques to estimate the effects of agglomeration at various quantiles of production value. Based on the data collected by the Taiwan Area Industrial Census for 2001, this research considers all manufacturing industry and two-digit standard industry classification data of manufacturing industries to analyze the R&D spillover effect for various metropolitan areas. The paper analyzes the manufacturing industry as a whole. The electrical and electronic machinery industries, a representative of high-intensity R&D industry, and the apparel and accessories and leather industries, as representatives of low-intensity R&D industry, are also considered. This research concludes that there is an externality (spillover) effect of R&D in each metropolitan area for all three categories. Moreover, the research suggests that the medium and large a firm’s scale the higher the spillover effect it receives will be.-
dc.formatapplication/pdfen_US
dc.format.extent57354 bytes-
dc.format.mimetypeapplication/pdf-
dc.languageenen_US
dc.languageen-USen_US
dc.language.isoen_US-
dc.relationThe 5th Conference on Global Economic Analysisen_US
dc.subjectD51; L60; R12-
dc.subjectIndustry-specific human capital; job matching; on-the-job training-
dc.titleIndustry-Specific Human Capital and the Wage Profile: Evidence from Taiwanen_US
dc.typeconferenceen
dc.identifier.doi10.1007/s00168-009-0309-4-
dc.doi.urihttp://dx.doi.org/10.1007/s00168-009-0309-4-
item.languageiso639-1en_US-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
item.openairetypeconference-
item.grantfulltextopen-
item.cerifentitytypePublications-
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