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A Dynamic Interface for Trade Pattern Formation in Multi-regional Multi-sectoral Input-output Modeling

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Abstract

This paper introduces a visual framework in computational environment for displaying multi-region, multi-sector classical models, associated with authors such Isard, Chenery, Moses, Leontief, Riefler and Tiebout. Based on the quantity and nature of trade data of each model, different conditions are imposed upon the matrix of trade coefficients $$T$$ T which result in various matrix partitioning schemes. Matrix $$T$$ T illustrates the interactions among interregional and intersectoral economic activities and is considered a key component in input-output modeling. Using MATHEMATICA as software tool we introduce a method to construct and present matrix $$T$$ T both graphically, with static and dynamic images, and analytically. The output produced enables understanding and/or teaching theoretical trade hypotheses. Furthermore, our computational approach produces random, structured matrices of trade coefficients, which makes possible infinite computer experiments with interregional input-output models of any size, without typing in input. The computer codes are fully presented and can be reproduced as they are in computational-based research practice and education. Copyright Springer Science+Business Media New York 2015

Suggested Citation

  • 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.
    • Handle: RePEc:kap:compec:v:46:y:2015:i:4:p:671-681
    DOI: 10.1007/s10614-014-9466-3
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    1. Jan Oosterhaven & Jan Van Der Linden, 1997. "European Technology, Trade and Income Changes for 1975-85: An Intercountry Input-Output Decomposition," Economic Systems Research, Taylor & Francis Journals, vol. 9(4), pages 393-412.
    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. Halkos, George & Tsilika, Kyriaki, 2014. "Analyzing and visualizing the synergistic impact mechanisms of climate change related costs," MPRA Paper 55459, University Library of Munich, Germany.
    4. Marian Leimbach & Klaus Eisenack, 2009. "A Trade Algorithm for Multi-Region Models Subject to Spillover Externalities," Computational Economics, Springer;Society for Computational Economics, vol. 33(2), pages 107-130, March.
    5. Jan Oosterhaven & Alex R. Hoen, 1998. "original: Preferences, technology, trade and real income changes in the European Union An intercountry decomposition analysis for 1975-1985," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 32(4), pages 505-524.
    6. Campisi, Domenico & Gastaldi, Massimo & La Bella, Agostino, 1993. "Optimal Growth and Planning in a Multi-regional Economy: A Computer Program and Application to the Italian Case," Computational Economics, Springer;Society for Computational Economics, vol. 6(1), pages 51-73, February.
    7. Geoffrey J.D. Hewings, 1985. "Regional Input-Output Analysis," Wholbk, Regional Research Institute, West Virginia University, number 11 edited by Grant I. Thrall, Fall.
    8. 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. George Halkos & Stylianos Nomikos & Kyriaki Tsilika, 2022. "Evidence for Novel Structures Relating CSR Reporting and Economic Welfare: Environmental Sustainability—A Continent-Level Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 415-444, February.
    2. Christos Alexakis & Michael Dowling & Konstantinos Eleftheriou & Michael Polemis, 2021. "Textual Machine Learning: An Application to Computational Economics Research," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 369-385, January.
    3. Halkos, George & Petrou, Kleoniki Natalia, 2018. "A critical review of the main methods to treat undesirable outputs in DEA," MPRA Paper 90374, University Library of Munich, Germany.
    4. Halkos, George & Tsilika, Kyriaki, 2014. "Perspectives on integrating a computer algebra system into advanced calculus curricula," MPRA Paper 63898, University Library of Munich, Germany.
    5. Chen, Guang & Kong, Rui & Wang, Yixin, 2020. "Research on the evolution of lithium trade communities based on the complex network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    6. Zhong, Weiqiong & An, Haizhong & Shen, Lei & Dai, Tao & Fang, Wei & Gao, Xiangyun & Dong, Di, 2017. "Global pattern of the international fossil fuel trade: The evolution of communities," Energy, Elsevier, vol. 123(C), pages 260-270.
    7. 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.
    8. 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.
    9. 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.

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    More about this item

    Keywords

    Interregional input-output models; Trade coefficient matrix; MATHEMATICA computer software; C63; C88; F10;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • 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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