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Assessing classical input output structures with trade networks: A graph theory approach

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Listed:
  • Halkos, George
  • Tsilika, Kyriaki

Abstract

We present data structures from multiregional multisectoral trade activities from the perspective of networks. To illustrate our approach we make use of trade patterns taken from three classical input-output models. Unlike other conventional approaches by which networks statistics are evaluated, here, emphasis is given on recovering the structure architecture of interrelations in the input-output model. By self-explanatory visual outputs we display the interaction of the trading partners, the number of trade links and the density of interrelations. Connectivity and density are quantified by evaluating the node degrees. Our network approach traces the feedback loops among regions and activities. Some global structural properties are also examined. Programming in Mathematica allows for the creation of iterative schemes explaining aspects of the nature of trade and the evolution of spatial trading/production cycles in growing trading systems. Mathematica’s environment enables interactive visual schemes and infinite number of experiments.

Suggested Citation

  • Halkos, George & Tsilika, Kyriaki, 2016. "Assessing classical input output structures with trade networks: A graph theory approach," MPRA Paper 72511, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:72511
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    References listed on IDEAS

    as
    1. Wilhite, Allen, 2001. "Bilateral Trade and 'Small-World' Networks," Computational Economics, Springer;Society for Computational Economics, vol. 18(1), pages 49-64, August.
    2. Fagiolo, Giorgio & Reyes, Javier & Schiavo, Stefano, 2008. "On the topological properties of the world trade web: A weighted network analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(15), pages 3868-3873.
    3. Kazumi Hitomi & Yasuhide Okuyama & Geoffrey Hewings & Michael Sonis, 2000. "The Role of Interregional Trade in Generating Change in the Regional Economies of Japan, 1980-1990," Economic Systems Research, Taylor & Francis Journals, vol. 12(4), pages 515-537.
    4. McFadzean, David & Tesfatsion, Leigh, 1999. "A C++ Platform for the Evolution of Trade Networks," Computational Economics, Springer;Society for Computational Economics, vol. 14(1-2), pages 109-134, October.
    5. Roland Lantner & Frederic Carluer, 2004. "Spatial dominance: a new approach to the estimation of interconnectedness in regional input-output tables," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 38(3), pages 451-467, September.
    6. Giorgio Fagiolo & Tiziano Squartini & Diego Garlaschelli, 2013. "Null models of economic networks: the case of the world trade web," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(1), pages 75-107, April.
    7. McFadzean, David & Stewart, Deron & Tesfatsion, Leigh, 2000. "A Computational Laboratory for Evolutionary Trade Network," ISU General Staff Papers 200008010700001051, Iowa State University, Department of Economics.
    8. George Halkos & Kyriaki Tsilika, 2015. "A Dynamic Interface for Trade Pattern Formation in Multi-regional Multi-sectoral Input-output Modeling," Computational Economics, Springer;Society for Computational Economics, vol. 46(4), pages 671-681, December.
    9. Darla K. Munroe & Geoffrey J. D. Hewings & Dong Guo, 2007. "The Role of Intraindustry Trade in Interregional Trade in the Midwest of the US," Advances in Spatial Science, in: Russel Cooper & Kieran Donaghy & Geoffrey Hewings (ed.), Globalization and Regional Economic Modeling, chapter 6, pages 87-105, Springer.
    10. Russel Cooper & Kieran Donaghy & Geoffrey Hewings (ed.), 2007. "Globalization and Regional Economic Modeling," Advances in Spatial Science, Springer, number 978-3-540-72444-5.
    11. Batten, D & Martellato, D, 1985. "Classical versus Modern Approaches to Interregional Input-Output Analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 19(3), pages 1-15, November.
    12. Sandro Montresor & Giuseppe Vittucci Marzetti, 2009. "APPLYING SOCIAL NETWORK ANALYSIS TO INPUT-OUTPUT BASED INNOVATION MATRICES: AN ILLUSTRATIVE APPLICATION TO SIX OECD TECHNOLOGICAL SYSTEMS FOR THE MIDDLE 1990s," Economic Systems Research, Taylor & Francis Journals, vol. 21(2), pages 129-149.
    13. F. Alkemade & H. M. Amman & J. A. La Poutre, 2002. "The Role of Information in an Electronic Trade Network," Computing in Economics and Finance 2002 376, Society for Computational Economics.
    14. George E. Halkos & Kyriaki D. Tsilika, 2016. "Trading Structures for Regional Economies in CAS Software," Computational Economics, Springer;Society for Computational Economics, vol. 48(3), pages 523-533, October.
    15. Asger Olsen, J., 1992. "Input-output models, directed graphs and flows in networks," Economic Modelling, Elsevier, vol. 9(4), pages 365-384, October.
    16. Hans Amman & Floortje Alkemade & Han la Poutre, 2003. "Intermediaries in an Electronic Trade Network," Computing in Economics and Finance 2003 6, Society for Computational Economics.
    17. Brian Wixted & Norihiko Yamano & Colin Webb, 2006. "Input-Output Analysis in an Increasingly Globalised World: Applications of OECD's Harmonised International Tables," OECD Science, Technology and Industry Working Papers 2006/7, OECD Publishing.
    18. McNerney, James & Fath, Brian D. & Silverberg, Gerald, 2013. "Network structure of inter-industry flows," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(24), pages 6427-6441.
    19. M. Serrano & Marián Boguñá & Alessandro Vespignani, 2007. "Patterns of dominant flows in the world trade web," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 2(2), pages 111-124, December.
    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. M. Angeles Serrano & Marian Boguna & Alessandro Vespignani, 2007. "Patterns of dominant flows in the world trade web," Papers 0704.1225, arXiv.org.
    22. Geoffrey J.D. Hewings, 1985. "Regional Input-Output Analysis," Wholbk, Regional Research Institute, West Virginia University, number 11 edited by Grant I. Thrall, Winter.
    23. Garlaschelli, Diego & Loffredo, Maria I., 2005. "Structure and evolution of the world trade network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 355(1), pages 138-144.
    24. D. Garlaschelli & M. I. Loffredo, 2005. "Structure and Evolution of the World Trade Network," Papers physics/0502066, arXiv.org, revised May 2005.
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    More about this item

    Keywords

    Trade data visualization; trade networks; Mathematica-based computations; graph theory.;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C65 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Miscellaneous Mathematical Tools
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • F10 - International Economics - - Trade - - - General

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