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Diversity of food systems for securing future food availability

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  • Catherine Macombe

Abstract

We depict the different models of likely future value chains for agro food sector. The starting points of the reflection are the main coming geo-physical constraints acknowledged by most scientists (rising sea level; climate disaster higher frequency; scarcity of concentrated energy and other material resources). Thus the effects of the coming changes (and especially the effects of the global warming) on agriculture are a regular study topic, while the effects of the other constraints, and the likely evolution of the food systems as a whole, remain quite overlooked. When there is a general scarcity of resources (as it is the case for oil and minerals over the coming decades), the present value chains may no longer function. We draw from these evidences to design 6 models of food value chains (including farming, processing and delivery systems). We therefore describe the models: "Today" (any food, in-store selling everywhere, at any time); "Amazon" (any food, at home in metropoles, at any time); "Cart" (mainly local food, in streets of cities and villages, seasonal products); "Roman villa" (local food, at farm, seasonal products); "Survival" (energetic food, specific location, in response to disasters or to "hunger gap"); "Export foods" (spices, salt etc., at any time). Only the last four together will be frugal enough to be compliant with the future geo-physical constraints. We also explore some consequences in terms of the future way of life, around the topics of agricultural work and cities.

Suggested Citation

  • Catherine Macombe, 2018. "Diversity of food systems for securing future food availability," Economia agro-alimentare, FrancoAngeli Editore, vol. 20(3), pages 351-370.
  • Handle: RePEc:fan:ecaqec:v:html10.3280/ecag2018-003006
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    References listed on IDEAS

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    1. Nicole Paganini & Stefanie Lemke & Ines Raimundo, 2018. "The potential of urban agriculture towards a more sustainable urban food system in food-insecure neighbourhoods in Cape Town and Maputo," Economia agro-alimentare, FrancoAngeli Editore, vol. 20(3), pages 401-423.
    2. Raymond Auerbach, 2018. "Organic research and government support improve organic policy and progress in Danish, Swiss, American and African case studies," Economia agro-alimentare, FrancoAngeli Editore, vol. 20(3), pages 333-349.
    3. Friedrichs, Jörg, 2010. "Global energy crunch: How different parts of the world would react to a peak oil scenario," Energy Policy, Elsevier, vol. 38(8), pages 4562-4569, August.
    4. Coley, David & Howard, Mark & Winter, Michael, 2009. "Local food, food miles and carbon emissions: A comparison of farm shop and mass distribution approaches," Food Policy, Elsevier, vol. 34(2), pages 150-155, April.
    5. Denis Loeillet, 2018. "Ignorance is bliss, but toxic to agriculture," Economia agro-alimentare, FrancoAngeli Editore, vol. 20(3), pages 321-331.
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    Cited by:

    1. Maurizio Canavari & Silvia Coderoni, 2020. "Consumer stated preferences for dairy products with carbon footprint labels in Italy," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 8(1), pages 1-16, December.
    2. Catherine Macombe & Raymond Auerbach & Andrea Raggi & Roberta Salomone, 2018. "Guest Editorial Future food availability is not only an agricultural topic, but also a society issue," Economia agro-alimentare, FrancoAngeli Editore, vol. 20(3), pages 293-299.

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    More about this item

    JEL classification:

    • Q10 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - General
    • Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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