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dc.contributor.authorIvanova, Inga
dc.contributor.authorStrand, Øivind
dc.contributor.authorKushnir, Duncan
dc.contributor.authorLeydesdorff, Loet
dc.date.accessioned2018-03-22T09:39:35Z
dc.date.available2018-03-22T09:39:35Z
dc.date.created2017-08-11T15:14:54Z
dc.date.issued2017
dc.identifier.citationTechnological forecasting & social change. 2017, 120 77-89.nb_NO
dc.identifier.issn0040-1625
dc.identifier.urihttp://hdl.handle.net/11250/2491640
dc.description.abstractThe Economic Complexity Index (ECI; Hidalgo and Hausmann, 2009) measures the complexity of national economies in terms of product groups. Analogously to ECI, the Patent Complexity Index (PatCI) can be developed on the basis of a matrix of nations versus patent classes. Using linear algebra, the three dimensions—countries, product groups, and patent classes—can be combined into a measure of “Triple Helix” complexity (THCI) including the trilateral interaction terms between knowledge production, wealth generation, and (national) control. THCI can be expected to capture the extent of systems integration between the global dynamics of markets (ECI) and technologies (PatCI) in each national system of innovation. We measure ECI, PatCI, and THCI during the period 2000–2014 for the 34 OECD member states, the BRICS countries, and a group of emerging and affiliated economies (Argentina, Hong Kong, Indonesia, Malaysia, Romania, and Singapore). The three complexity indicators are correlated between themselves; but the correlations with GDP per capita are virtually absent. Of the world's major economies, Japan scores highest on all three indicators, while China has been increasingly successful in combining economic and technological complexity. We could not reproduce the correlation between ECI and average income that has been central to the argument about the fruitfulness of the economic complexity approach.nb_NO
dc.language.isoengnb_NO
dc.publisherElseviernb_NO
dc.titleEconomic and technological complexity: A model study of indicators of knowledge-based innovation systemsnb_NO
dc.typeJournal articlenb_NO
dc.description.versionsubmittedVersionnb_NO
dc.source.pagenumber77-89nb_NO
dc.source.volume120nb_NO
dc.source.journalTechnological forecasting & social changenb_NO
dc.identifier.doi10.1016/j.techfore.2017.04.007
dc.identifier.cristin1485827
dc.description.localcodeThis is a submitted manuscript of an article published by Elsevier Ltd in Technological Forecasting and Social Change, 29 April 2017.nb_NO
cristin.unitcode194,60,15,0
cristin.unitnameInstitutt for internasjonal forretningsdrift
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.qualitycode1


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