Crop forecasts are beginning to produce useful results in Sub‐Saharan Africa. If from these it were possible to produce estimates of the likely changes in commodity flows to different population groups, the effects of short run fluctuations in food supply could be anticipated. This paper demonstrates how this might be done using a Food Accounting Matrix (FAM) as a data base. The simulations demonstrated in the paper are based on proportional change. The limitations of proportionality assumptions are discussed.
Proportionality Assumptions Proportional Change Food Supply Population Groups Fluctuations In Supply Data Base Effects Of Fluctuations Changes In Flows Short Run Fluctuations Run Fluctuations
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Introducing Weekly Round-ups!Beta
Round-ups are the summaries of handpicked papers around trending topics published every week. These would enable you to scan through a collection of papers and decide if the paper is relevant to you before actually investing time into reading it.
Climate change Research Articles published between Sep 19, 2022 to Sep 25, 2022
Sep 26, 2022
Articles Included: 5
Disaster Prevention and Management ISSN: 0965-3562 Article publication date: 20 September 2022 This paper applies the theory of cascading, interconnec...Read More
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