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Constructing intersectoral innovation diffusion networks with input-output: how to get relative flows? An illustrative application to six OECD technological systems for the middle '90s

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  • S. Montresor
  • Vittucci
  • G. Marzetti

Abstract

The paper aims at addressing some methodological issues in applying Social Network Analysis indicators to the investigation of nation-wide intersectoral innovation ows matrices. The majority of SNA techniques require dichotomization of the original matrices and suitable relativization procedures, in order to avoid size-biases. The relativization procedures used so far suffer from some limitations, as they either alter the meaning of SNA indicators or do not take into account the composition of countries' final demand. In order to overcome these limitations, we propose two new different methods and compare them with the existing ones on the basis of their rationale. Rather than with respect to a single cut-off, the comparison is carried out by working out SNA indicators distributions. An illustrative application is carried out by comparing the technological systems of six structurally different OECD countries in the mid-'90s. In so doing, the robustness of their conventional innovation ranking is tested and discussed.

Suggested Citation

  • S. Montresor & Vittucci & G. Marzetti, 2008. "Constructing intersectoral innovation diffusion networks with input-output: how to get relative flows? An illustrative application to six OECD technological systems for the middle '90s," Working Papers 649, Dipartimento Scienze Economiche, Universita' di Bologna.
    • Handle: RePEc:bol:bodewp:649
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    1. Sandro Montresor & Giuseppe Vittucci Marzetti, 2007. "Innovation Clusters in Technological Systems: A Network Analysis of 15 OECD Countries for the Middle '90s," DRUID Working Papers 07-15, DRUID, Copenhagen Business School, Department of Industrial Economics and Strategy/Aalborg University, Department of Business Studies.
    2. Sandro Montresor & Giuseppe Vittucci Marzetti, 2011. "The deindustrialisation/tertiarisation hypothesis reconsidered: a subsystem application to the OECD7," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 35(2), pages 401-421.
    3. Riccardo Leoncini & Sandro Montresor, 2000. "Network Analysis of Eight Technological Systems," International Review of Applied Economics, Taylor & Francis Journals, vol. 14(2), pages 213-234.
    4. Leoncini, R. & Montresor, S., 2005. "Accounting for core and extra-core relationships in technological systems: a methodological proposal," Research Policy, Elsevier, vol. 34(1), pages 83-100, February.
    5. Leoncini, Riccardo, 1998. "The nature of long-run technological change: innovation, evolution and technological systems," Research Policy, Elsevier, vol. 27(1), pages 75-93, May.
    6. Leoncini, R. & Maggioni, M. A. & Montresor, S., 1996. "Intersectoral innovation flows and national technological systems: network analysis for comparing Italy and Germany," Research Policy, Elsevier, vol. 25(3), pages 415-430, May.
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    Cited by:

    1. Sandro Montresor & Giuseppe Vittucci Marzetti, 2008. "Innovation Clusters in Technological Systems: A Network Analysis of 15 OECD Countries for the Mid-1990s," Industry and Innovation, Taylor & Francis Journals, vol. 15(3), pages 321-346.
    2. Garbellini, Nadia, 2009. "Natural rates of profit, natural prices, and the actual economic systems - a theoretical framework," MPRA Paper 15941, University Library of Munich, Germany.
    3. Garbellini, Nadia, 2010. "Structural Change and Economic Growth: Production in the Short Run — A generalisation in terms of vertically hyper-integrated sectors," MPRA Paper 25684, University Library of Munich, Germany.
    4. Dimitris Foutakis, 2025. "Identification and Visualization of Clusters Using Network Theory Methods: The Case of the Greek Production System," Economies, MDPI, vol. 13(1), pages 1-31, January.

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