English, Article edition: APPLYING SOCIAL NETWORK ANALYSIS TO INPUT-OUTPUT BASED INNOVATION MATRICES: AN ILLUSTRATIVE APPLICATION TO SIX OECD TECHNOLOGICAL SYSTEMS FOR THE MIDDLE 1990s Sandro Montresor; Giuseppe Vittucci Marzetti

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Bookmark: http://trove.nla.gov.au/version/50129
Physical Description
  • article
Language
  • English

Edition details

Title
  • APPLYING SOCIAL NETWORK ANALYSIS TO INPUT-OUTPUT BASED INNOVATION MATRICES: AN ILLUSTRATIVE APPLICATION TO SIX OECD TECHNOLOGICAL SYSTEMS FOR THE MIDDLE 1990s
Author
  • Sandro Montresor
  • Giuseppe Vittucci Marzetti
Physical Description
  • article
Notes
  • The paper discusses, illustrates and possibly contributes to overcoming two methodological problems that emerge in applying Social Network Analysis (SNA) to the study of IO-based innovation flows matrices. The first has to do with the scale-effects these matrices suffer from. The second refers to the need of dichotomising the matrices. Through an illustrative application to six OECD countries in the mid-1990s, the paper shows that, as for the former problem, different relativisation procedures can be, and have been, used, which either tend to alter the actual meaning of standard SNA indicators, or do not properly take into account the actual composition of countries' final demand. As for the latter problem, the paper shows that the choice of discrete cut-offs is extremely sensitive, as comparative results actually change along the continuum of the matrices values. In order to overcome the scale problem, a new relativisation procedure is put forward that measures innovation flows embodied in a unit value basket of final demand and thus properly retains all the information provided by the original matrix of intersectoral innovation (embodied) flows. In addressing the problem of dichotomisation, the paper suggests, as a second best, to work with density distributions that can make the choice of discrete cut-off values less arbitrary.
  • Technological systems, Embodied innovation flows, Input-Output analysis, Network analysis,
  • RePEc:taf:ecsysr:v:21:y:2009:i:2:p:129-149
Language
  • English
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