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Dominance et amplification des influences dans les structures linéaires

Author

Listed:
  • Roland Lantner

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique, UEA - Unité d'Économie Appliquée - ENSTA Paris - École Nationale Supérieure de Techniques Avancées - IP Paris - Institut Polytechnique de Paris)

  • Didier Lebert

    (UEA - Unité d'Économie Appliquée - ENSTA Paris - École Nationale Supérieure de Techniques Avancées - IP Paris - Institut Polytechnique de Paris)

Abstract

Dans une structure de productions et d'échanges ou dans un réseau quelconque où des flux transitent entre des pôles, les chocs externes se diffusent par les arcs et les chemins directs et se répercutent de proche en proche. L'influence finale est identique à la somme d'une série convergente parce que les boucles et circuits adjacents amplifient indéfiniment mais de manière décroissante les premiers effets transmis par les chemins. L'un des résultats les plus inattendus du papier est que l'amplificateur attaché à un chemin d'influence se calcule beaucoup plus aisément si l'on élimine tous les circuits adjacents à ce chemin : malice de la linéarité ! Une application comparative (1980-2004) des amplificateurs des principales relations de dominance commerciale révèle des discontinuités et des transformations majeures, intervenues au tournant du siècle, dans le monde d'une part, entre pays africains d'autre part.

Suggested Citation

  • Roland Lantner & Didier Lebert, 2015. "Dominance et amplification des influences dans les structures linéaires," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01225748, HAL.
    • Handle: RePEc:hal:cesptp:halshs-01225748
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    Cited by:

    1. Nizar Riane & Claire David, 2023. "Input-Output Analysis: New Results From Markov Chain Theory," Papers 2301.08136, arXiv.org, revised Jan 2023.
    2. Castilho, Marta Reis & Da Costa, Kaio Glauber Vital & Puchet Anyul, Martín, 2021. "Production fragmentation, foreign trade and structural complexity: a comparative analysis of Brazil and Mexico," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), April.
    3. Nizar Riane & Claire David, 2022. "Input-Output Analysis: New Results From Markov Chain Theory," Post-Print hal-03696207, HAL.
    4. Mafini Dosso & Didier Lebert, 2019. "A geography of corporate knowledge flows across world regions: evidence from patent citations of top R&D-investing firms," JRC Working Papers on Corporate R&D and Innovation 2019-03, Joint Research Centre.

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