IDEAS home Printed from https://ideas.repec.org/p/wiw/wiwrsa/ersa06p514.html
   My bibliography  Save this paper

Key Sectors. A New Proposal From Network Theory

Author

Listed:
  • Ana Salome Garcia Muniz
  • Antonio Morillas Raya
  • Carmen Ramos Carvajal

Abstract

The determination of key sectors (Perroux, 1955; Hirschman, 1958) has raised a long tradition of studies in the input-output field. Their analysis allows the identification of those sectors has a high effect in the demand and supply of the system and therefore, they constitute the basis of the growth and development of a territory. With the aim of standing out those sectors with a more relevant position in the economy, we propose from the network theory a definition of centrality that we consider it is new new in the input-output field. This definition is based in the consideration of three complementary characteristics: total effects, mediative effects and inmediate effects. These measures called for us multilevel indicators have the enormous advantage of allowing the comparison between structures of different size and approach the key sector concept thorough a relational and global view.

Suggested Citation

  • Ana Salome Garcia Muniz & Antonio Morillas Raya & Carmen Ramos Carvajal, 2006. "Key Sectors. A New Proposal From Network Theory," ERSA conference papers ersa06p514, European Regional Science Association.
    • Handle: RePEc:wiw:wiwrsa:ersa06p514
    as

    Download full text from publisher

    File URL: https://www-sre.wu.ac.at/ersa/ersaconfs/ersa06/papers/514.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Sonis, Michael & Guilhoto, Joaquim José Martins & Hewings, Geoffrey J.D. & Martins, Eduardo B., 1995. "Linkages, key sectors and structural change: some new perspectives," MPRA Paper 54754, University Library of Munich, Germany.
    2. Johan Hauknes, "undated". "Norwegian Input-Output Clusters and Innovation Patterns," STEP Report series 199815, The STEP Group, Studies in technology, innovation and economic policy.
    3. Ana Salomé García & Antonio Morillas & Carmen Rueda, 2005. "Relaciones interindustriales y difusión de la innovación: una aproximación desde la Teoría de Redes," Urban/Regional 0512005, University Library of Munich, Germany.
    4. Dietzenbacher, Erik, 1992. "The measurement of interindustry linkages : Key sectors in the Netherlands," Economic Modelling, Elsevier, vol. 9(4), pages 419-437, October.
    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. Guihai Yu & Lingpei Tang & Gang Peng & Chao Xiong, 2023. "Relevance Analysis of China’s Digital Industry," Sustainability, MDPI, vol. 15(18), pages 1-22, September.
    2. Katya Pérez-Guzmán & Isela-Elizabeth Téllez-León & Ali Kharrazi & Brian Fath & Francisco Venegas-Martínez, 2018. "What makes Input-Output Tables of Trade of Raw Material Goods Peculiar Networks? The World and Mexican Cases," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 13(4), pages 483-505, Octubre-D.
    3. Chong YIN & Zhi Yuan YANG, 2016. "The Inter-Industrial Linkage Indicators (Iili): A Contribution For The Measurement Of The Industrial Structure Evolution In China (2002, 2007)," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 16(1).
    4. 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.
    5. 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.
    6. Fernando DePaolis & Phil Murphy & M. Clara DePaolis Kaluza, 2020. "Identifying Key Sectors in the Regional Economy: A Network Analysis Approach Using Input-Output Data," Papers 2005.11285, arXiv.org, revised Sep 2022.
    7. Miguel Vélez, Francisco Javier de & Llop Llop, Maria & Manresa, Antonio, 1954-, 2013. "Supply Multipliers in Two Regional Economies," Working Papers 2072/213636, Universitat Rovira i Virgili, Department of Economics.
    8. 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.
    9. Hu, Fei & Zhao, Shangmei & Bing, Tao & Chang, Yiming, 2017. "Hierarchy in industrial structure: The cases of China and the USA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 871-882.
    10. Liis LILL, 2008. "Assessing Economic Complexity in some OECD countries with Input-Output Based Measures," EcoMod2008 23800082, EcoMod.
    11. Theodore Tsekeris, 2017. "Network analysis of inter-sectoral relationships and key sectors in the Greek economy," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(2), pages 413-435, July.
    12. Martha Alatriste-Contreras, 2015. "The relationship between the key sectors in the european union economy and the intra-European Union trade," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 4(1), pages 1-24, December.
    13. Jaime de Pablo Valenciano & Juan Milán-García & Juan Uribe-Toril & José Luis Ruiz-Real, 2023. "The Fruit and Vegetable Sector in Andalusia (Spain): Key in Terms of Linkages and the Effect of Economic Multipliers?," SAGE Open, , vol. 13(3), pages 21582440231, July.
    14. Miguel, Francisco Javier de & Llop Llop, Maria & Manresa, Antonio, 1954-, 2011. "Simulating the Impact of Sectorial Productivity Gains on Two Regional Economies: Key Sectors from a Supply Side Perspective," Working Papers 2072/169681, Universitat Rovira i Virgili, Department of Economics.
    15. 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.
    16. Raffaele Giammetti & Alberto Russo & Mauro Gallegati, 2020. "Key sectors in input–output production networks: An application to Brexit," The World Economy, Wiley Blackwell, vol. 43(4), pages 840-870, April.
    17. 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.
    18. David REVILLA & Adelaido GARCIA-ANDRES & Isaac SANCHEZ-JUAREZ, 2015. "Identification of Key Productive Sectors in the Mexican Economy," Expert Journal of Economics, Sprint Investify, vol. 3(1), pages 22-39.
    19. Aroche-Reyes, Fidel & García Muñiz, Ana Salomé, 2012. "Modelling economic structures from a Qualitative Input-Output Perspective: Greece in 2005 and 2010," MPRA Paper 44415, University Library of Munich, Germany.
    20. 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.
    21. García Muñiz, Ana Salomé, 2013. "Input–output research in structural equivalence: Extracting paths and similarities," Economic Modelling, Elsevier, vol. 31(C), pages 796-803.
    22. George E. Halkos & Kyriaki D. Tsilika, 2018. "A New Vision of Classical Multi-regional Input–Output Models," Computational Economics, Springer;Society for Computational Economics, vol. 51(3), pages 571-594, March.

    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. Liis LILL, 2008. "Assessing Economic Complexity in some OECD countries with Input-Output Based Measures," EcoMod2008 23800082, EcoMod.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Erasmia Valma, 2014. "The Effect of Sector Loss on the Internal Structure of Regional Economies," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 93-110.
    9. Cámara, Angeles & Medina, Ana, 2021. "Measuring the economic impact of immigrant workers exit from Madrid region labor market," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 49, pages 65-88.
    10. repec:fgv:epgrbe:v:68:n:3:a:2 is not listed on IDEAS
    11. Zacharias Bragoudakis & Evangelia Kasimati & Christos Pierros & Nikolaos Rodousakis & George Soklis, 2022. "Measuring Productivities for the 38 OECD Member Countries: An Input-Output Modelling Approach," Mathematics, MDPI, vol. 10(13), pages 1-21, July.
    12. Wang, Zhen & Wei, Liyuan & Niu, Beibei & Liu, Yong & Bin, Guoshu, 2017. "Controlling embedded carbon emissions of sectors along the supply chains: A perspective of the power-of-pull approach," Applied Energy, Elsevier, vol. 206(C), pages 1544-1551.
    13. Gerardo A. Perez-Valdes & Vibeke S. Nørstebø & May-Britt Ellingsen & Jukka Teräs & Adrian T. Werner, 2019. "Bioeconomic Clusters—Background, Emergence, Localization and Modelling," Sustainability, MDPI, vol. 11(17), pages 1-17, August.
    14. Bart Los, 2004. "Identification of strategic industries: A dynamic perspective," Economics of Governance, Springer, vol. 83(4), pages 669-698, October.
    15. Stanislav Shmelev & Harrison Roger Brook, 2021. "Macro Sustainability across Countries: Key Sector Environmentally Extended Input-Output Analysis," Sustainability, MDPI, vol. 13(21), pages 1-46, October.
    16. Wei Yang & Junnian Song, 2019. "Depicting Flows of Embodied Water Pollutant Discharge within Production System: Case of an Undeveloped Region," Sustainability, MDPI, vol. 11(14), pages 1-15, July.
    17. 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.
    18. Tapan Biswas & Jolian McHardy, 2004. "Aspects of International Labour Mobility in Southern EU Countries," South-Eastern Europe Journal of Economics, Association of Economic Universities of South and Eastern Europe and the Black Sea Region, vol. 2(1), pages 67-83.
    19. Silveira, Suely F.R & Guilhoto, Joaquim José Martins, 1999. "Water use in the São Francisco River basin, Brazil: an interregional input-output analysis," MPRA Paper 54674, University Library of Munich, Germany.
    20. Malcolm Beynon & Max Munday, 2008. "Stochastic key sector analysis: an application to a regional input–output framework," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 42(4), pages 863-877, December.
    21. 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.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:wiw:wiwrsa:ersa06p514. 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: Gunther Maier (email available below). General contact details of provider: http://www.ersa.org .

    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.