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Dominance, dependence and interdependence in linear structures. A theoretical model and an application to the international trade flows

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Abstract

This paper aims to study the structure of international trade. It establishes, through a simple formalization of exchange coefficients, that many theorems can be proved on a function of the macroscopic structure (the determinant of the matrix). This determinant is the cornerstone of indicators to analyze the evolution of trade between countries and regions. The objective is to introduce new tools to rigorously measure the characteristics and effects of globalization. The structural analysis proposed in this way can be applied to many other areas

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  • Roland Lantner & Didier Lebert, 2013. "Dominance, dependence and interdependence in linear structures. A theoretical model and an application to the international trade flows," Documents de travail du Centre d'Economie de la Sorbonne 13043, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    • Handle: RePEc:mse:cesdoc:13043
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    References listed on IDEAS

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    1. 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.
    2. Defourny, Jacques & Thorbecke, Erik, 1984. "Structural Path Analysis and Multiplier Decomposition within a Social Accounting Matrix Framework," Economic Journal, Royal Economic Society, vol. 94(373), pages 111-136, March.
    3. Matteo Barigozzi & Giorgio Fagiolo & Diego Garlaschelli, 2009. "Multinetwork of international trade: A commodity-specific analysis," Papers 0908.1879, arXiv.org, revised Jun 2010.
    4. Erik Dietzenbacher & Bart Los, 1998. "Structural Decomposition Techniques: Sense and Sensitivity," Economic Systems Research, Taylor & Francis Journals, vol. 10(4), pages 307-324.
    5. C. A. Hidalgo & B. Klinger & A. -L. Barabasi & R. Hausmann, 2007. "The Product Space Conditions the Development of Nations," Papers 0708.2090, arXiv.org.
    6. Henri Aujac, 1960. "La hiérarchie des industries dans un tableau des échanges interindustriels," Revue Économique, Programme National Persée, vol. 11(2), pages 169-238.
    7. 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.
    8. Mayer, Thierry & Paillacar, Rodrigo & Zignago, Soledad, 2008. "TradeProd. The CEPII Trade, Production and Bilateral Protection Database: Explanatory Notes," MPRA Paper 26477, University Library of Munich, Germany.
    9. Hakim Ben Hammouda & Nassim Oulmane & René Sandretto, 2009. "Emergence en Méditerranée," Post-Print halshs-00566202, HAL.
    10. Michael Sonis & Geoffrey J. D. Hewings, 1998. "original: Economic complexity as network complication: Multiregional input-output structural path analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 32(3), pages 407-436.
    11. J. Reichardt & D. R. White, 2007. "Role models for complex networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 60(2), pages 217-224, November.
    12. Louis de Mesnard & Erik Dietzenbacher, 1995. "On the Interpretation of Fixed Input Coefficients under Aggregation," Post-Print hal-00383944, HAL.
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    More about this item

    Keywords

    Influence graph theory; interdependence; international trade;
    All these keywords.

    JEL classification:

    • 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
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade

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