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Identifying Linkages with a Cluster-based Methodology

Although many methods for studying linkages between economic sectors exist, most methods only analyse the linkages between a specific sector and all other sectors, or the effects of all sectors on the economy as a whole. Cluster analysis may be helpful to analyse which sectors are strongly connected to each other, when no specific sector is given in advance. The present article reviews how cluster analysis contributes to the analysis of intersectoral linkages. Furthermore, it describes several possible identification methods of these clusters. After selecting the best method, the article provides an index that can be used to compute the degree of similarity between clusters in different regions, countries, or time periods.

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

Volume (Year): 14 (2002)
Issue (Month): 2 ()
Pages: 131-146

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Handle: RePEc:taf:ecsysr:v:14:y:2002:i:2:p:131-146
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  1. Krugman, Paul & Venables, Anthony J., 1996. "Integration, specialization, and adjustment," European Economic Review, Elsevier, vol. 40(3-5), pages 959-967, April.
  2. Michael Sonis & J. D. Hewings & Jiemin Guo, 2000. "A New Image of Classical Key Sector Analysis: Minimum Information Decomposition of the Leontief Inverse," Economic Systems Research, Taylor & Francis Journals, vol. 12(3), pages 401-423.
  3. Ina Drejer, 2000. "Comparing Patterns of Industrial Interdependence in National Systems of Innovation - A Study of Germany, the United Kingdom, Japan and the United States," Economic Systems Research, Taylor & Francis Journals, vol. 12(3), pages 377-399.
  4. Axel During & Hermann Schnabel, 2000. "Imputed Interindustry Technology Flows - A Comparative SMFA Analysis," Economic Systems Research, Taylor & Francis Journals, vol. 12(3), pages 363-375.
  5. Forni, Mario & Paba, Sergio, 2001. "Knowledge Spillovers and the Growth of Local Industries," CEPR Discussion Papers 2934, C.E.P.R. Discussion Papers.
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