THE PATTERN OF KNOWLEDGE FLOWS BETWEEN TECHNOLOGY FIELDS
2009; Wiley; Volume: 61; Issue: 2 Linguagem: Inglês
10.1111/j.1467-999x.2009.04073.x
ISSN1467-999X
AutoresMauro Caminati, Arsenio Stabile,
Tópico(s)Complex Systems and Time Series Analysis
ResumoMetroeconomicaVolume 61, Issue 2 p. 364-397 THE PATTERN OF KNOWLEDGE FLOWS BETWEEN TECHNOLOGY FIELDS Mauro Caminati, Corresponding Author Mauro Caminati University of Siena Mauro CaminatiDepartment of Economic Policy, Finance and DevelopmentPiazza San Francesco 7Siena,I-53100ItalyE-mail: caminati@unisi.it Arsenio StabileFaculty of EconomicsPiazza San Francesco 7Siena,I-53100ItalyE-mail: stabilear@unisi.itSearch for more papers by this authorArsenio Stabile, Corresponding Author Arsenio Stabile University of Siena A preliminary version of this paper was presented at the Lucca Conference 'The Institutional and Social Dynamics of Growth and Distribution', 10–12 December 2007. The present version benefits from detailed comments and constructive criticism by Andrea M. Lavezzi and two anonymous referees. The usual caveats apply. Financial support from the Italian MIUR (research project: Economic Growth: Institutional and Social Dynamics) and Siena University is gratefully acknowledged. Mauro CaminatiDepartment of Economic Policy, Finance and DevelopmentPiazza San Francesco 7Siena,I-53100ItalyE-mail: caminati@unisi.it Arsenio StabileFaculty of EconomicsPiazza San Francesco 7Siena,I-53100ItalyE-mail: stabilear@unisi.itSearch for more papers by this author Mauro Caminati, Corresponding Author Mauro Caminati University of Siena Mauro CaminatiDepartment of Economic Policy, Finance and DevelopmentPiazza San Francesco 7Siena,I-53100ItalyE-mail: caminati@unisi.it Arsenio StabileFaculty of EconomicsPiazza San Francesco 7Siena,I-53100ItalyE-mail: stabilear@unisi.itSearch for more papers by this authorArsenio Stabile, Corresponding Author Arsenio Stabile University of Siena A preliminary version of this paper was presented at the Lucca Conference 'The Institutional and Social Dynamics of Growth and Distribution', 10–12 December 2007. The present version benefits from detailed comments and constructive criticism by Andrea M. Lavezzi and two anonymous referees. The usual caveats apply. Financial support from the Italian MIUR (research project: Economic Growth: Institutional and Social Dynamics) and Siena University is gratefully acknowledged. Mauro CaminatiDepartment of Economic Policy, Finance and DevelopmentPiazza San Francesco 7Siena,I-53100ItalyE-mail: caminati@unisi.it Arsenio StabileFaculty of EconomicsPiazza San Francesco 7Siena,I-53100ItalyE-mail: stabilear@unisi.itSearch for more papers by this author First published: 12 March 2010 https://doi.org/10.1111/j.1467-999X.2009.04073.xCitations: 6 Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat ABSTRACT This paper exploits recent contributions to the notions of modularity and autocatalytic sets to identify the functional and structural units that define the strongest systematic and self-sustaining channels of knowledge transfer and accumulation within the network of knowledge flows between technology fields. Our analysis reconstructs the architecture of the empirical knowledge pattern based on the United States Patent and Trademark Office (USPTO) patent citation data at the level of resolution of three-digit technology classes, for the period 1975–99. Citing Literature Volume61, Issue2May 2010Pages 364-397 RelatedInformation
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