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Analyzing Food Supply and Distribution Systems using complex systems methodologies

Author

Listed:
  • Armendàriz, Vanessa
  • Armenia, Stefano
  • Atzori, Alberto Stanislao
  • Romano, Angelo
Abstract
This paper discusses how a complex-systems perspective can shed light on the analysis of complex food-systems meeting urban food needs. The common features between complex systems and Food Supply and Distribution Systems (FSDS) are explored. A brief review of the major approaches - agent-based models (ABM), social network analysis (SNA), and system dynamics (SD) - is developed in order to make an assessment on the analysis performance of different complex system methodologies while dealing with FSDS. After sifting out the most suitable methodology for the study of FSDS, a system archetype analysis of the FSDS dynamics is elicited from the methodological guide of FAO, the United Nations Food and Agriculture Organization. To finalize, three basic points for the analysis of FSDS obtained from the current research are explained. This content is part of the content leading the SD updates to FAO’s FSDS methodological guide.

Suggested Citation

  • Armendàriz, Vanessa & Armenia, Stefano & Atzori, Alberto Stanislao & Romano, Angelo, 2015. "Analyzing Food Supply and Distribution Systems using complex systems methodologies," 2015 International European Forum (144th EAAE Seminar), February 9-13, 2015, Innsbruck-Igls, Austria 206211, International European Forum on System Dynamics and Innovation in Food Networks.
    • Handle: RePEc:ags:iefi15:206211
    DOI: 10.22004/ag.econ.206211
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    References listed on IDEAS

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    2. Gagliardi, Dimitri & Niglia, Francesco & Battistella, Cinzia, 2014. "Evaluation and design of innovation policies in the agro-food sector: An application of multilevel self-regulating agents," Technological Forecasting and Social Change, Elsevier, vol. 85(C), pages 40-57.
    3. Guillaume Deffuant, 2006. "Comparing Extremism Propagation Patterns in Continuous Opinion Models," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 9(3), pages 1-8.
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    Cited by:

    1. Parisa Alizadeh & Hosein Mohammadi & Naser Shahnoushi & Sayed Saghaian & Alireza Pooya, 2020. "Application of System Thinking Approach in Identifying the Challenges of Beef Value Chain," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 12(2), June.
    2. Benjamin L. Turner & Hector M. Menendez & Roger Gates & Luis O. Tedeschi & Alberto S. Atzori, 2016. "System Dynamics Modeling for Agricultural and Natural Resource Management Issues: Review of Some Past Cases and Forecasting Future Roles," Resources, MDPI, vol. 5(4), pages 1-24, November.
    3. Fernandes, Aline R. & da Silva, Carlos Arthur B., 2017. "Ten Years later: A Comparison of Results of Simulation Scenarios under a Systems Dynamic Approach and the Actual Economic Performance of Small-Scale Agro-industries Supported by Brazilian Agro-industr," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 8(2), March.
    4. Paola A Hernández & Francesca Galli & Paolo Prosperi & Šūmane Sandra & Dominic Duckett & Henrik Eli Almaas, 2021. "Do small food businesses enable small farms to connect to regional food systems? Evidence from 9 European regions," Post-Print hal-03463710, HAL.
    5. Irina Poleshkina, 2018. "Problems of Food Security in the Regions of the Far North of Russia," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(3), pages 820-835.
    6. Vanessa Armendáriz & Stefano Armenia & Alberto Stanislao Atzori, 2016. "Systemic Analysis of Food Supply and Distribution Systems in City-Region Systems—An Examination of FAO’s Policy Guidelines towards Sustainable Agri-Food Systems," Agriculture, MDPI, vol. 6(4), pages 1-19, December.

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