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Trading Structures for Regional Economies in CAS Software

Author

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  • George E. Halkos

    (University of Thessaly)

  • Kyriaki D. Tsilika

    (University of Thessaly)

Abstract

This paper introduces a visual framework in the environment of a computer algebra system for displaying interregional trading patterns in multi-region, multi-activity economies. Interregional input–output tables illustrate spatial and economic interdependencies within interregional trade and are considered a key component in input–output modeling. The study and analysis of the interregional trade flows in interregional economic activities often reveal interregional and inter-activity linkages, referred to as “feedback loops” and/or spatial production cycles in interregional level. Trade theory considering feedback loops is a relatively new approach to the detailed analysis of vertical specialization of trade flows. This approach leads to the decomposition of global trade into feedback loops. Given the analysis of interregional inter-activity feedback loops based on the trade flows data, interregional input–output tables and associated trading patterns can be depicted using programmed functions in MATHEMATICA. Our programmed functions create static and dynamic images presenting the structure and the intensity of feedback loops connecting the regions and the activities of an economy. The generated visual schemes succeed to picture the multilateral trade connections between all regions. The programming codes along with their application in examples from the relevant literature are our methodological contribution in the visualization of trading tables.

Suggested Citation

  • 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.
  • Handle: RePEc:kap:compec:v:48:y:2016:i:3:d:10.1007_s10614-015-9515-6
    DOI: 10.1007/s10614-015-9515-6
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. David McFadzean & Deron Stewart & Leigh Tesfatsion, 2000. "A Computational Laboratory for Evolutionary Trade Networks," Computational Economics 0004004, University Library of Munich, Germany.
    4. 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.
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    Cited by:

    1. Halkos, George & Managi, Shunsuke & Tsilika, Kyriaki, 2018. "Spatiotemporal distribution of inclusive wealth data: An illustrated guide," MPRA Paper 85711, University Library of Munich, Germany.
    2. 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.

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