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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.

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  • 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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    6. 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.
    7. mercado, p. ruben, 2003. "Empirical economywide modeling in argentina," MPRA Paper 58611, University Library of Munich, Germany.
    8. 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 Economia Aplicada, Estudios de Economia Aplicada, vol. 25, pages 759-790, Diciembre.
    9. Jaafar, Abdul Hamid & Salleh, Norlida & Abdul Manaf, Zulkifli, 2015. "Intersectoral Linkages in Oil Palm Industry between Malaysia and Indonesia," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 49(1), pages 25-35.
    10. 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.
    11. Yue-Jun Zhang & Xiao-Juan Bian & Weiping Tan, 2018. "The linkages of sectoral carbon dioxide emission caused by household consumption in China: evidence from the hypothetical extraction method," Empirical Economics, Springer, vol. 54(4), pages 1743-1775, June.
    12. Irfan Ahmed & Claudio Socci & Francesca Severini & Qaiser Rafique Yasser & Rosita Pretaroli, 2018. "The structures of production, final demand and agricultural output: a Macro Multipliers analysis of the Nigerian economy," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 35(3), pages 691-739, December.
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    14. 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.
    15. 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.
    16. 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.
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