IDEAS home Printed from https://ideas.repec.org/a/taf/ecsysr/v18y2006i3p299-318.html
   My bibliography  Save this article

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

Author

Listed:
  • Barbara Diaz
  • Laura Moniche
  • Antonio Morillas

Abstract

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.

Suggested Citation

  • 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.
    • Handle: RePEc:taf:ecsysr:v:18:y:2006:i:3:p:299-318
    DOI: 10.1080/09535310600844375
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/09535310600844375
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/09535310600844375?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Malcolm Beynon & Max Munday & Annette Roberts, 2005. "Ranking sectors using fuzzy output multipliers," Economic Systems Research, Taylor & Francis Journals, vol. 17(3), pages 237-253.
    2. 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;Western Regional Science Association, vol. 37(4), pages 629-656, December.
    3. 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.
    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. Cella, Guido, 1984. "The Input-Output Measurement of Interindustry Linkages," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 46(1), pages 73-84, February.
    6. Frederic Scherer, 2003. "Technology Flows Matrix Estimation Revisited," Economic Systems Research, Taylor & Francis Journals, vol. 15(3), pages 327-358.
    7. Erik Dietzenbacher & Bart Los, 2002. "Externalities of R&D Expenditures," Economic Systems Research, Taylor & Francis Journals, vol. 14(4), pages 407-425, December.
    8. Johan Hauknes, "undated". "Norwegian Input-Output Clusters and Innovation Patterns," STEP Report series 199815, The STEP Group, Studies in technology, innovation and economic policy.
    9. Alex R. Hoen, 2002. "Identifying Linkages with a Cluster-based Methodology," Economic Systems Research, Taylor & Francis Journals, vol. 14(2), pages 131-146, June.
    10. Dietzenbacher, Erik, 1992. "The measurement of interindustry linkages : Key sectors in the Netherlands," Economic Modelling, Elsevier, vol. 9(4), pages 419-437, October.
    11. Erik Dietzenbacher, 2005. "More on multipliers," Journal of Regional Science, Wiley Blackwell, vol. 45(2), pages 421-426, May.
    12. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. João C. Lopes & Tanya Araújo & João Dias & João F. Amaral, 2010. "National industry cluster templates and the structure of industry output dynamics: a stochastic geometry approach," Working Papers Department of Economics 2010/20, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    2. Juan Carlos Leyva Lopez & Diego Alonso Gastelum Chavira & Margarita Urias Ruiz, 2016. "A comparative approach of economic sectors in Sinaloa, Mexico, based on multicriteria decision aiding," EconoQuantum, Revista de Economia y Finanzas, Universidad de Guadalajara, Centro Universitario de Ciencias Economico Administrativas, Departamento de Metodos Cuantitativos y Maestria en Economia., vol. 13(1), pages 97-124, Enero-Jun.
    3. Francisco Benita & Serhad Sarica & Garvit Bansal, 2020. "Testing the static and dynamic performance of statistical methods for the detection of national industrial clusters," Papers in Regional Science, Wiley Blackwell, vol. 99(4), pages 1137-1157, August.
    4. Juan Carlos Leyva Lopez & Diego Alonso Gastelum Chavira & Margarita Urias Ruiz, 2016. "A comparative approach of economic sectors in Sinaloa, Mexico, based on multicriteria decision aiding," EconoQuantum, Revista de Economia y Negocios, Universidad de Guadalajara, Centro Universitario de Ciencias Economico Administrativas, Departamento de Metodos Cuantitativos y Maestria en Economia., vol. 13(1), pages 97-124, Enero-Jun.
    5. Matías Piaggio & Vicent Alcántara Escolano & Emilio Padilla, 2012. "Economic structure and key sectors analysis of greenhouse gas emissions in Uruguay," Working Papers wpdea1204, Department of Applied Economics at Universitat Autonoma of Barcelona.
    6. Hristov, Jordan & Surry, Yves, 2013. "Considering the Effect of Uncertainty in an Input-Output Analysis of Water Consumption: A Fuzzy Approach Applied to Macedonia," 2013 Conference: Tools for decision support in agriculture and rural development, April 18-19, 2013, Krško, Slovenia 183913, Slovenian Association of Agricultural Economists (DAES).
    7. João Lopes, 2011. "Industrial Clustering and Sectoral Growth: a Network Dynamics Approach," ERSA conference papers ersa11p637, European Regional Science Association.
    8. García Muñiz, Ana Salomé, 2013. "Input–output research in structural equivalence: Extracting paths and similarities," Economic Modelling, Elsevier, vol. 31(C), pages 796-803.
    9. Caggiani, Leonardo & Ottomanelli, Michele & Dell’Orco, Mauro, 2014. "Handling uncertainty in Multi Regional Input-Output models by entropy maximization and fuzzy programming," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 71(C), pages 159-172.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Malcolm Beynon & Calvin Jones & Max Munday, 2009. "The Embeddedness of Tourism-related Activity: A Regional Analysis of Sectoral Linkages," Urban Studies, Urban Studies Journal Limited, vol. 46(10), pages 2123-2141, September.
    3. Peter Midmore & Max Munday & Annette Roberts, 2006. "Assessing industry linkages using regional input-output tables," Regional Studies, Taylor & Francis Journals, vol. 40(3), pages 329-343.
    4. Zhenshan Yang & Michael Dunford, 2017. "Cluster evolution and urban industrial dynamics in the transition from a planned to a socialist market economy: the case of Beijing," Spatial Economic Analysis, Taylor & Francis Journals, vol. 12(1), pages 50-71, January.
    5. Kash Barker & Joost R. Santos, 2010. "A Risk‐Based Approach for Identifying Key Economic and Infrastructure Systems," Risk Analysis, John Wiley & Sons, vol. 30(6), pages 962-974, June.
    6. Julio Sanchez-Choliz & Rosa Duarte, 2003. "Production Chains and Linkage Indicators," Economic Systems Research, Taylor & Francis Journals, vol. 15(4), pages 481-494.
    7. Liis LILL, 2008. "Assessing Economic Complexity in some OECD countries with Input-Output Based Measures," EcoMod2008 23800082, EcoMod.
    8. Ana Salome Garcia Muniz & Antonio Morillas Raya & Carmen Ramos Carvajal, 2008. "Key Sectors: A New Proposal from Network Theory," Regional Studies, Taylor & Francis Journals, vol. 42(7), pages 1013-1030.
    9. Alp, Esra & Kök, Recep & Başkol, Murat Ozan, 2017. "Türkiye Ekonomisinde Sürükleyici Endüstri Analizi:2002-2012 Karşılaştırması [Key Sector Analysis in Turkish Economy: A Compare Between 2002-2012]," MPRA Paper 89952, University Library of Munich, Germany.
    10. Wang, Yuan & Wang, Wenqin & Mao, Guozhu & Cai, Hua & Zuo, Jian & Wang, Lili & Zhao, Peng, 2013. "Industrial CO2 emissions in China based on the hypothetical extraction method: Linkage analysis," Energy Policy, Elsevier, vol. 62(C), pages 1238-1244.
    11. Quddus, Md. Abdul, 2021. "Interdependence Of Industries And Key Economic Sectors Based On Linkage Indices: Emphasis On Agriculture," Bangladesh Journal of Agricultural Economics, Bangladesh Agricultural University, vol. 42(2), December.
    12. I�aki Aldasoro & Ignazio Angeloni, 2015. "Input-output-based measures of systemic importance," Quantitative Finance, Taylor & Francis Journals, vol. 15(4), pages 589-606, April.
    13. Giovanni Cerulli & Bianca Poti`, 2009. "Measuring Intersectoral Knowledge Spillovers: An Application Of Sensitivity Analysis To Italy," Economic Systems Research, Taylor & Francis Journals, vol. 21(4), pages 409-436.
    14. García Muñiz, Ana Salomé, 2013. "Input–output research in structural equivalence: Extracting paths and similarities," Economic Modelling, Elsevier, vol. 31(C), pages 796-803.
    15. Ning Chang & Michael L. Lahr, 2016. "Changes in China’s production-source CO 2 emissions: insights from structural decomposition analysis and linkage analysis," Economic Systems Research, Taylor & Francis Journals, vol. 28(2), pages 224-242, June.
    16. Wang, Tao & Xiao, Shiying & Yan, Jun & Zhang, Panpan, 2021. "Regional and sectoral structures of the Chinese economy: A network perspective from multi-regional input–output tables," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 581(C).
    17. Yu Song & Chunlu Liu & Craig Langston, 2006. "Linkage measures of the construction sector using the hypothetical extraction method," Construction Management and Economics, Taylor & Francis Journals, vol. 24(6), pages 579-589.
    18. Francisco Miguel & Maria Llop & Antonio Manresa, 2014. "Sectoral productivity gains in two regional economies: key sectors from a supply-side perspective," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(3), pages 731-744, November.
    19. 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.
    20. Steven G. Cochrane, 1990. "Input-Output Linkages in a Frontier Region of Indonesia," International Regional Science Review, , vol. 13(1-2), pages 183-203, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:ecsysr:v:18:y:2006:i:3:p:299-318. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/CESR20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.