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Commodity Chain Case Study: Analysis of the Suburban Horticulture Sub-Chain of Bamako (Mali) 

Year of publication 2005

Pages 58 p.

Publisher FAO ;

Product type Document

Series title EASYPol: Resources for policy making

Edition 1

Language English

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    These guidelines provide users with the key notions required to carry out analyses of policy impacts by means of a value chain approach and show how to do it by making use of relevant approaches and tools. In particular, users will find this material useful to identify the main features of a given value chain, build consistent value chain accounting frameworks, building alternative scenarios reflecting changes that given policy measures are likely to introduce in value chains, measure in monetar y terms shifts in physical production, value added, and income accruing to the various agent involved and provide relevant information to decision makers and other stakeholders involved in policy making processes. For instance, the user will be driven to identify the basic units operating in a given value chain and the activities they undertake, quantify revenue, value added and profits of every agent, build different scenarios for selected policy options, calculate value added and other margins , compute protection and competitiveness indicators.
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    Case Study on Commodity Chain Analysis: Irrigated Rice Chain of the Niger’s Office (Mali): Financial and Economic Account   2005
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    This module illustrates a case study regarding the Commodity Chain Analysis (CCA). It belongs to a set of modules which discuss how to carry out CCA through a step–by-step procedure. The user is introduced to a real situation where he has to build and analyze a commodity chain. The case study contains five exercises based on a database provided in a spreadsheet, containing all relevant information (e.g, yields, hectares per agent etc). The first exercise allows the user to familiarize with the f unctional analysis of a commodity chain. The second exercise aims to practise the flows analysis. The third one helps experts to use the production-trading accounts which are the real foundations of the CCA. The fourth one allows us to build the analysis model based on the accounts of individual agents. Finally, the fifth one illustrates how to use this model to simulate scenarios.
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