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Identifying Linkages with a Cluster-based Methodology

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  • Alex R. Hoen

Abstract

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.

Suggested Citation

  • Alex R. Hoen, 2002. "Identifying Linkages with a Cluster-based Methodology," Economic Systems Research, Taylor & Francis Journals, vol. 14(2), pages 131-146, June.
  • Handle: RePEc:taf:ecsysr:v:14:y:2002:i:2:p:131-146
    DOI: 10.1080/09535310220140933
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. 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.
    4. Krugman, Paul & Venables, Anthony J., 1996. "Integration, specialization, and adjustment," European Economic Review, Elsevier, vol. 40(3-5), pages 959-967, April.
    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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    Cited by:

    1. Elisa Cavezzali & Jacopo Crepaldi & Ugo Rigoni, 2014. "Proximity to hubs of expertise and financial analyst forecast accuracy," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 4(2), pages 157-179, December.
    2. Yu Song & Chunlu Liu & Craig Langston, 2006. "Extending construction linkage measures by the consideration of the impact of capital," Construction Management and Economics, Taylor & Francis Journals, vol. 24(11), pages 1207-1216.
    3. Garbellini, Nadia & Wirkierman, Ariel Luis, 2014. "Blocks and circularity in labour requirements: An interplay between clusters and subsystems in the EU," Structural Change and Economic Dynamics, Elsevier, vol. 28(C), pages 60-74.
    4. Cristina Santos & Alexandre Almeida & Aurora A.C. Teixeira, 2008. "Searching for clusters in tourism. A quantitative methodological proposal," FEP Working Papers 293, Universidade do Porto, Faculdade de Economia do Porto.
    5. mercado, p. ruben, 2003. "Empirical economywide modeling in argentina," MPRA Paper 58611, University Library of Munich, Germany.
    6. Robles Teigeiro, Luis & Ramos Carvajal, Carmen, 2007. "Una propuesta metodológica para la identificación y evaluación de clusters a partir de tablas Input-Output. Una aplicación para Andalucía/A Methodological Proposal for Getting the Sectorial Clusters i," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 25, pages 759-790, Diciembre.
    7. Barbara Diaz & Laura Moniche & Antonio Morillas, 2006. "A Fuzzy clustering approach to the key sectors of the Spanish economy," Economic Systems Research, Taylor & Francis Journals, vol. 18(3), pages 299-318.
    8. Cutler, Harvey & England, Scott & Weiler, Stephan, 2003. "Determining Regional Structure through Cointegration," The Review of Regional Studies, Southern Regional Science Association, vol. 33(2), pages 164-183.
    9. Cecchini, Kerlyng & Guilhoto, Joaquim José Martins & Hewings, Geoffrey J.D. & Chokri, Dridi, 2007. "Brazilian automotive industry in the nineties," MPRA Paper 41197, University Library of Munich, Germany.
    10. Henryk Gurgul & Pawel Majdosz, 2008. "The Modified Diagonalization Method for Analysing Clusters within Economies," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 6(1), pages 53-73.
    11. Ian P.Cassar, 2017. "Assessing structural change in the Maltese economy via the application of a hypothetical extraction analysis," CBM Working Papers WP/01/2017, Central Bank of Malta.
    12. João Lopes, 2011. "Industrial Clustering and Sectoral Growth: a Network Dynamics Approach," ERSA conference papers ersa11p637, European Regional Science Association.
    13. Junning Cai & Pingsun Leung, 2004. "Linkage Measures: a Revisit and a Suggested Alternative," Economic Systems Research, Taylor & Francis Journals, vol. 16(1), pages 63-83.

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