Emergence and dynamics of short food supply chains
| Autor: | Arnaud Dragicevic |
|---|---|
| Přispěvatelé: | Territoires (Territoires), AgroParisTech-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Clermont Auvergne (UCA), AgroParisTech-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Clermont Auvergne (UCA) |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Spatial randomness
Matching (statistics) Computer Networks and Communications Computer science Supply chain 0211 other engineering and technologies Probability density function 02 engineering and technology Circuit court alimentaire Bioeconomics Stochastic matching Consistency (database systems) Artificial Intelligence 0502 economics and business Econometrics Randomness 050210 logistics & transportation 021103 operations research 05 social sciences Appariement stochastique Short food supply chains Bioéconomie [SHS.ECO]Humanities and Social Sciences/Economics and Finance Bounded function Bipartite graph Aléa spatial Software |
| Zdroj: | Networks and Spatial Economics Networks and Spatial Economics, 2021, 21 (1), pp.31-55. ⟨10.1007/s11067-020-09512-7⟩ Networks and Spatial Economics, Springer Verlag, 2021, 21 (1), pp.31-55. ⟨10.1007/s11067-020-09512-7⟩ |
| ISSN: | 1566-113X 1572-9427 |
| DOI: | 10.1007/s11067-020-09512-7⟩ |
| Popis: | International audience; Through the consideration of a stochastic matching model dependent on a probability function built from the Heron's formula, we analyze the emergence and the dynamics of short agrifood sale circuits in form of time-evolving random hypergraphs. These marketing circuits, which are used as a supportive policy for promoting local food consumption, typify short distribution channels. Although bipartite matching can be easily derived from the framework, we move our focus on the matching of triplets of players representing buyers, retailers and sellers. Their conditional pairings with respect to standard and social preferences are both taken into consideration. Our results show that the emergence of short food supply chains is triggered by a three-dimensional stochastic matching mechanism. Their time evolution is found to be governed by both stable and unstable dynamics, the latter being subject to bounded antiperiodic oscillations. Via the use of a Poisson process, we then redirect our interest toward spatial randomness and the number of circuits attainable in a defined territory. The model unveils a restricted spread of short circuits over the entire territory, which, in expectation, can only be a partial substitute for long supply chains. The outcomes show consistency with the agribusiness patterns currently observable in France. |
| Databáze: | OpenAIRE |
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