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1 STEEP - Sustainability transition, environment, economy and local policy LJK - Laboratoire Jean Kuntzmann, Inria Grenoble - Rhône-Alpes 2 CERAG - Centre d-études et de recherches appliquées à la gestion 3 LAOG - Laboratoire d-Astrophysique de Grenoble 4 UGA IAE - Institut d-Administration des Entreprises - Grenoble

Abstract : The spatial reconstruction of the production, trade, transformation and consumption flows of a specific material, can become an important decision-help tool for improving resource management and for studying environmental pressures from the producer-s to the consumer-s viewpoint. One of the obstacles preventing its actual use in the decision-making process is that building such studies at various geographical scales proves to be costly both in time and manpower. In this article, we propose a semi-automatic methodology to overcome this issue: we describe our multi-scalar model and its data-reconciliation component and apply it to cereals flows. Namely, using official databases Insee, Agreste, FranceAgriMer, SitraM as well as corporate sources, we reconstructed the supply chain flows of the 22 French regions as well as the flows of four nested territories: France, the Rhône-Alpes région, the Isère département and the territory of the SCOT of Grenoble. We display the results using Sankey diagrams and discuss the intervals of confidence of the model-s outputs. We conclude on the perspectives of coupling this model with economic, social and environmental aspects that would provide key information to decision-makers.

Keywords : France cereals downscaling data reconciliation material flow analysis supply chain





Autor: Jean-Yves Courtonne - Julien Alapetite - Pierre-Yves Longaretti - Denis Dupré - Emmanuel Prados -

Fuente: https://hal.archives-ouvertes.fr/



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