IDEAS home Printed from https://ideas.repec.org/a/eee/ecmode/v31y2013icp796-803.html
   My bibliography  Save this article

Input–output research in structural equivalence: Extracting paths and similarities

Author

Listed:
  • García Muñiz, Ana Salomé

Abstract

The systematic study of the way in which intersectoral transactions are organized is an interesting source of information about the pattern of existing economic relationships in one country that allows comparison of its structural features with those of another economy of reference. A new tool in the input–output context that allows us to reveal the functioning economic structure by determining the structural equivalent sectoral groups is proposed. The aim is to outline a new approach to clustering sectors based on similarities between sector linkages profiles. The obtained set of structurally equivalent sectors defines a reduced model which provides additional information about the main paths of influence and the degree of complexity. The structural equivalent sectors of Spain in 2000 and 2005 are determined. The Spanish economy has evolved to a more connected and oriented-service economy.

Suggested Citation

  • García Muñiz, Ana Salomé, 2013. "Input–output research in structural equivalence: Extracting paths and similarities," Economic Modelling, Elsevier, vol. 31(C), pages 796-803.
    • Handle: RePEc:eee:ecmode:v:31:y:2013:i:c:p:796-803
    DOI: 10.1016/j.econmod.2013.01.016
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264999313000199
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.econmod.2013.01.016?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. Sonis, Michael & Hewings, Geoffrey J.D., 1993. "Hierarchies of Regional Sub-Structures and Their Multipliers within Input-output Systems Miyazawa Revisited," Hitotsubashi Journal of Economics, Hitotsubashi University, vol. 34(1), pages 33-44, June.
    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. Chokri Dridi & Geoffrey Hewings, 2002. "An Investigation of Industry Associations, Association Loops and Economic Complexity: Application to Canada and the United States," Economic Systems Research, Taylor & Francis Journals, vol. 14(3), pages 275-296.
    4. Louis de Mesnard, 1998. "On boolean topological methods of structural analysis," Working Papers hal-01527137, HAL.
    5. 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.
    6. Ghosh, A & Sarkar, H, 1970. "An Input-Output Matrix as a Spatial Configuration," Economic Change and Restructuring, Springer, vol. 10(1-2), pages 133-142.
    7. 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.
    8. 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.
    9. Campbell, John, 1975. "Application of graph theoretic analysis to interindustry relationships : The example of Washington state," Regional Science and Urban Economics, Elsevier, vol. 5(1), pages 91-106, February.
    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. Maureen Kilkenny & Laura Nalbarte, 2002. "Keystone Sector Identification," Advances in Spatial Science, in: Geoffrey J. D. Hewings & Michael Sonis & David Boyce (ed.), Trade, Networks and Hierarchies, chapter 16, pages 289-314, Springer.
    12. Ana Salomé García Muñiz & Fidel Aroche Reyes & Carmen Ramos Carvajal, 2007. "Determinación de coeficientes importantes por niveles tecnológicos: una aproximación desde el modelo de Miyazawa," Investigaciones Economicas, Fundación SEPI, vol. 31(1), pages 161-190, January.
    13. Uwe Blien & Gunther Maier (ed.), 2008. "The Economics of Regional Clusters," Books, Edward Elgar Publishing, number 12881.
    14. Ronald W. Jones & Henryk Kierzkowski, 2018. "International Fragmentation and the New Economic Geography," World Scientific Book Chapters, in: International Trade Theory and Competitive Models Features, Values, and Criticisms, chapter 17, pages 281-293, World Scientific Publishing Co. Pte. Ltd..
    15. Geoffrey J. D. Hewings & Michael Sonis & David Boyce (ed.), 2002. "Trade, Networks and Hierarchies," Advances in Spatial Science, Springer, number 978-3-662-04786-6, Fall.
    16. Mark S. Handcock & Adrian E. Raftery & Jeremy M. Tantrum, 2007. "Model‐based clustering for social networks," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(2), pages 301-354, March.
    17. Fidel Aroche-Reyes, 2003. "A qualitative input-output method to find basic economic structures," Papers in Regional Science, Springer;Regional Science Association International, vol. 82(4), pages 581-590, November.
    18. Ana Salomé García Muñiz & Antonio Morillas Raya & Carmen Ramos Carvajal, 2011. "Core periphery valued models in input‐output field: A scope from network theory," Papers in Regional Science, Wiley Blackwell, vol. 90(1), pages 111-121, March.
    19. Thakur, Sudhir K., 2008. "Identification of temporal fundamental economic structure (FES) of India: An input-output and cross-entropy analysis," Structural Change and Economic Dynamics, Elsevier, vol. 19(2), pages 132-151, June.
    20. Fedriani, Eugenio M. & Tenorio, Ángel F., 2012. "Simplifying the input–output analysis through the use of topological graphs," Economic Modelling, Elsevier, vol. 29(5), pages 1931-1937.
    21. Blin, Jean-Marie, 1973. "A Further Procedure for Ordering an Input-output Matrix: Some Empirical Evidence," Economic Change and Restructuring, Springer, vol. 13(1-2), pages 121-129.
    22. Francisco Requena & Carlos Llano, 2010. "The border effects in Spain: an industry-level analysis," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 37(4), pages 455-476, November.
    23. Fidel Aroche, 2006. "Trees of the Essential Economic Structures: A Qualitative Input‐Output Method," Journal of Regional Science, Wiley Blackwell, vol. 46(2), pages 333-353, May.
    24. Ana Muñiz & Antonio Raya & Carmen Carvajal, 2010. "Spanish and European innovation diffusion: a structural hole approach in the input–output field," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 44(1), pages 147-165, February.
    Full references (including those not matched with items on IDEAS)

    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. GARCIA-MUÑIZ, Ana Salome, 2013. "Modelling Linkages Versus Leakages Networks: The Case Of Spain," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 13(1), pages 43-54.
    2. Liis LILL, 2008. "Assessing Economic Complexity in some OECD countries with Input-Output Based Measures," EcoMod2008 23800082, EcoMod.
    3. João C. Lopes & João Dias & João F. Amaral, 2012. "Assessing economic complexity as interindustry connectedness in nine OECD countries," International Review of Applied Economics, Taylor & Francis Journals, vol. 26(6), pages 811-827, January.
    4. García Muñiz, Ana Salomé & Ramos Carvajal, Carmen, 2012. "Linkages, contagion and resilience: an input-output scope from the demand and supply side," MPRA Paper 59369, University Library of Munich, Germany.
    5. Ana Salome GARCIA MUÑIZ & Carmen RAMOS CARVAJAL, 2015. "Input-Output Linkages And Network Contagion In Greece:Demand And Supply View," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 15(2), pages 35-52.
    6. Mirko Titze & Matthias Brachert & Alexander Kubis, 2011. "Local and regional knowledge sources of industrial clusters - methodical aspects in a multidimensional framework for cluster identification," ERSA conference papers ersa10p709, European Regional Science Association.
    7. 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.
    8. Pedro Noguera-Méndez & María Semitiel-García, 2011. "The Embeddedness of the Agro-Food System in the Spanish Interindustrial Structure," International Regional Science Review, , vol. 34(1), pages 34-74, January.
    9. Titze, Mirko & Brachert, Matthias & Kubis, Alexander, 2010. "The Identification of Industrial Clusters – Methodical Aspects in a Multidimensional Framework for Cluster Identification," IWH Discussion Papers 14/2010, Halle Institute for Economic Research (IWH).
    10. João Lopes, 2011. "Industrial Clustering and Sectoral Growth: a Network Dynamics Approach," ERSA conference papers ersa11p637, European Regional Science Association.
    11. 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.
    12. 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.
    13. Chokri Dridi & Geoffrey Hewings, 2002. "An Investigation of Industry Associations, Association Loops and Economic Complexity: Application to Canada and the United States," Economic Systems Research, Taylor & Francis Journals, vol. 14(3), pages 275-296.
    14. García-Muñiz, Ana Salomé & Vicente, María Rosalía, 2014. "ICT technologies in Europe: A study of technological diffusion and economic growth under network theory," Telecommunications Policy, Elsevier, vol. 38(4), pages 360-370.
    15. 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).
    16. Yongfei Li & Sang-Gun Lee & Myungjai Kong, 2019. "The industrial impact and competitive advantage of China’s ICT industry," Service Business, Springer;Pan-Pacific Business Association, vol. 13(1), pages 101-127, March.
    17. 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.
    18. 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.
    19. Erik Dietzenbacher, 2010. "Vertical specialization in an intercountry input-output framework," Letters in Spatial and Resource Sciences, Springer, vol. 3(3), pages 127-136, October.
    20. Jorge Manuel Lopez & Manuel Alejandro Cardenete, 2015. "Andalusian Economic Structure over Social Accounting Matrices from FES analysis perspective," ERSA conference papers ersa15p523, European Regional Science Association.

    More about this item

    Keywords

    Network theory; Input–output analysis; Structural equivalence; Structural analysis;
    All these keywords.

    JEL classification:

    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • D57 - Microeconomics - - General Equilibrium and Disequilibrium - - - Input-Output Tables and Analysis

    Statistics

    Access and download statistics

    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:eee:ecmode:v:31:y:2013:i:c:p:796-803. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/30411 .

    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.