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A Fuzzy clustering approach to the key sectors of the Spanish economy

  • Barbara Diaz
  • Laura Moniche
  • Antonio Morillas

The search for key sectors in an economy has been and still is one of the more recurrent themes in input-output analysis. When using clustering techniques, sectors can only belong to a group, having a particular performance. But, actually, the same sector could be important from different perspectives at the same time, to a different degree. So, a fuzzy clustering approach is needed. In this work we propose a multidimensional approach to classify the productive sectors of the Spanish input-output table for 1995, based on three groups of variables: those related to their productive integration, others measuring their specific weight in the economy and finally some showing their economic dynamic. We also incorporate into the analysis the technological level, which being a categorical variable presents special methodological problems. All these questions are tackled applying a robust and fuzzy clustering analysis, which gives as a result a classification of sectors illustrating the role that each one plays in the Spanish economy.

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Article provided by Taylor & Francis Journals in its journal Economic Systems Research.

Volume (Year): 18 (2006)
Issue (Month): 3 ()
Pages: 299-318

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Handle: RePEc:taf:ecsysr:v:18:y:2006:i:3:p:299-318
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  1. Chokri Dridi & Geoffrey J.D. Hewings, 2003. "Sectors associations and similarities in input-output systems: An application of dual scaling and fuzzy logic to Canada and the United States," The Annals of Regional Science, Springer, vol. 37(4), pages 629-656, December.
  2. Erik Dietzenbacher, 2005. "More on multipliers," Journal of Regional Science, Wiley Blackwell, vol. 45(2), pages 421-426.
  3. Johan Hauknes, . "Norwegian Input-Output Clusters and Innovation Patterns," STEP Report series 199815, The STEP Group, Studies in technology, innovation and economic policy.
  4. Edward Feser & Edward Bergman, 2000. "National Industry Cluster Templates: A Framework for Applied Regional Cluster Analysis," Regional Studies, Taylor & Francis Journals, vol. 34(1), pages 1-19.
  5. Alex Hoen, 2002. "Identifying Linkages with a Cluster-based Methodology," Economic Systems Research, Taylor & Francis Journals, vol. 14(2), pages 131-146.
  6. Dietzenbacher, Erik, 1992. "The measurement of interindustry linkages : Key sectors in the Netherlands," Economic Modelling, Elsevier, vol. 9(4), pages 419-437, October.
  7. Erik Dietzenbacher & Bart Los, 2002. "Externalities of R&D Expenditures," Economic Systems Research, Taylor & Francis Journals, vol. 14(4), pages 407-425.
  8. G J D Hewings, 1974. "The Effect of Aggregation on the Empirical Identification of Key Sectors in a Regional Economy: A Partial Evaluation of Alternative Techniques," Environment and Planning A, , vol. 6(4), pages 439-453, August.
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